data sharing

10 Simple Rules for Sharing Human Genomic Data

The Repositive team together with Springer Nature has recently formulated “10 simple rules for sharing human genomic data”. “These 10 Simple Rules have been developed from our combined experiences of working with human genomic data, data repositories and data users. We do not claim that these rules will eliminate every possible risk of data misuse. Rather, we hope that these will help researchers to increase the reusability of their human genomic data, whilst also ensuring that the privacy of their subjects is maintained according to their consent frameworks. Many of the principles presented are also applicable to other types of clinical research data, where participant privacy is a concern.” The manuscript by Manuel Corpas, Charlotte Whicher, Nadezda V. Kovalevskaya, Tom Byers, Amanda A. McMurray, and Fiona G.G. Nielsen of Repositive Ltd, Future Business Centre, Cambridge, UK, and Varsha K. Khodiyar of Springer Nature, London, UK, was originally submitted to Biorxiv.org Introduction Delivery of the promise of precision medicine relies heavily on human genomic data sharing. Sharing genome data generated through publicly funded projects maximises return on investment from taxpayer funds and increases the likelihood of obtaining funding in future rounds [1]. More importantly, genome data sharing makes it possible for […]

DNAdigest interviews the Head of ELIXIR’s Human Genomics and Translational Data

Serena Scollen is the Head of Human Genomics and Translational Data at ELIXIR. She is of the many great speakers at the BioData World Congress in Hinxton, UK that will take place next week (26-27 October 2016). In her presentation during the 2nd day of the Congress, she will talk about maximising opportunities to use human genomics data and about how ELIXIR enables this through European collaborations. Please introduce yourself, your background and your specific role in ELIXIR. Our audience is familiar with ELIXIR already – we interviewed Niklas Blomberg a year ago. I joined the ELIXIR Hub recently as Head of Human Genomics and Translational Data (ELIXIR is the European infrastructure for bioinformatics and life-science data). Prior to joining ELIXIR, I was a Director within the Human Genetics and Computational Biomedicine group at Pfizer. In this role, I led and implemented a genetic and precision medicine strategy to support drug target selection and clinical programmes for the Pain and Sensory Disorders Research Unit. Earlier in my career, I worked within the Toxicogenomics group at GlaxoSmithKline. I gained postdoctoral experience at the University of Cambridge and Imperial College London and a PhD from the University of Cambridge, with a focus […]

YAAC’s interview with Fiona Nielsen

The Young Alliance Against Cancer recently interviewed Fiona Nielsen –  CEO and founder of DNAdigest and Repositive. The interview was originally published at the website of the Young Alliance Against Cancer (YAAC) and is reposted with permission. A bioinformatician’s spark which lead to a new platform for sharing genomic data Short Bio Fiona Nielsen was trained as a bioinformatician at the University of Southern Denmark and Radboud University in the Netherlands. After working as a developer for Illumina she founded and currently presides the charity DNAdigest as well as the social enterprise Repositive limited. Her goals are promoting best practices for efficient and ethical data sharing as well as developing and providing novel software tools and mechanisms for sharing of genomic data. YAAC: Dear Fiona, you were recently chosen as one of 15 entrepreneurs to travel to Silicon Valley and participate in the prestigious BlackBox Connect Program. On top of that Repositive has not so long ago successfully raised another round of funding. Congratulations! Our readers are excited to hear about your short- and long term plans. But before we get to that, I would like to ask you a few questions related to the early days at DNAdigest and […]

Your DNA – your say! What do people think about sharing their genomic data?

It is really important to find out what genomic data donors all over the world think about sharing their data. Do they actually want it to be shared, and if yes, with whom? TORONTO, CANADA (May 24, 2016) — The Global Alliance for Genomics and Health (GA4GH) and the Wellcome Genome Campus have launched a new project to explore global public attitudes and beliefs around the sharing of genetic information. This has become increasingly urgent as we enter a new era of genomic medicine in which unique ethical and moral questions arise, at both the personal and political levels. It also raises questions about the commercial use of people’s genetic information. Every day, DNA and medical data are collected at clinics and research labs around the globe. To be truly informative, all of the data points — and there are millions per person — must be integrated into larger repositories in order to facilitate comparison across millions of individuals. Doing so requires individuals to give permission for their DNA and medical data to be donated for the purposes of research. Such sharing will often mean data leave the institutions where they were collected, and travel across the Internet to researchers […]

Veterans Affairs Precision Oncology Project

Interview with Louis Fiore, doctor, scientist, manager, innovator at the Department of Veterans Affairs (VA) in Boston Massachusetts, Executive Director of the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC). Louis will be speaking about the Precision Oncology Project at BioData World Congress USA 2016. 1. Could you please tell us about your background and your role at VA? I’ve been working for VA for almost 36 years. The department of VA takes care of approximately 20 million people, who served in the Armed Forces and are now retired. VA has a network of more than 150 hospitals across the country, they provide all types of healthcare services to veterans. VA has three missions: 1) care for veterans; 2) educate the next generation of healthcare providers; 3) provide research opportunities to improve healthcare of veterans first, and of the greater community as well. The group that I run, MAVERIC, has over 140 employees and works across four divisions: epidemiology and data mining, clinical trials, biobanking, and informatics. We have three national profile projects: Million Veteran Program (MVP), Point of Care Clinical Trial (POCCT) program, and Precision Oncology Program (POP). 2) At BioData World Congress USA 2016 you will be presenting […]

Objections to data sharing don’t stand up to scrutiny

Who’s afraid of Open Date: Scientists’ objections to data sharing don’t stand up to scrutiny. Many scientists are still resisting  data sharing calls. Whilst their concerns should be taken seriously, Dorothy Bishop doesn’t think the objections withstand scrutiny. Concerns about being scooped are frequently cited, but are seldom justified. If we move to a situation where a dataset is a publication, then the original researcher will get credit every time someone else uses the dataset. And in general, having more than one person doing an analysis is an important safeguard for science. I was at a small conference last year, catching up on gossip over drinks, and somehow the topic moved on to journals, and the pros and cons of publishing in different outlets. I was doing my best to advocate for open access, and to challenge the obsession with journal impact factors. I was getting the usual stuff about how early-career scientists couldn’t hope to have a career unless they had papers in Nature and Science, but then the conversation took an interesting turn. “Anyhow,” said eminent Professor X. “One of my postdocs had a really bad experience with a PLOS journal.” Everyone was agog. Nothing better at conference drinks than a new twist on […]

Genomic data sharing: How much oversight is necessary

This is a guest blog post by Mahsa Shabani, LL.B., LL.M., MA., a PhD Candidate at the Center for Biomedical Ethics and Law, University of Leuven. Her research interests revolve around ethical, legal and social aspects of genetics and genomics research including governance of biobanks and global collaborative genomics research and data sharing. Originally published in the Bill of Health blog Introducing data sharing practices into the genomic research has brought a number of concerns in research ethics and governance to the fore. For instance, research participants and the general public raised concerns about potential privacy issues in personal genomic data protection, as well as the scope of the secondary uses. In order to address such concerns, Data Access Committees (DACs) were seen crucial in the governance of main genomic databases such as the database of Genotypes and Phenotypes (dbGaP) and the European Genome-phenome Archive (EGA). Surprisingly, the component of access review, the structure, and the functionality of such committees have been barely scrutinized to date. In a recent study published in Genetics in Medicine, we solicited the opinion of 20 DAC members and experts on genomic data access. Specifically, the interviewees were asked about the goals of access review and their experiences with reviewing the ethical and scientific aspects of […]

GenomeConnect: connecting patients and researchers

This is a guest post by the GenomeConnect team. Patients with new genetic diagnoses are increasingly turning to social media and other web resources to try and find other families with the same genetic diagnosis and research opportunities. GenomeConnect, an online patient registry developed as part of the National Institutes of Health funded Clinical Genome Resource (ClinGen) project, is a resource to help patients form connections and partner with researchers to make genomic advances possible. Participation and enrollment in GenomeConnect are open to anyone that has had genetic testing, regardless of diagnosis or test result.  Additionally, participation is completely online allowing individuals from around the world to participate. After completing the online consent process, participants are asked to complete a health survey that reviews each body system to capture basic health information. From there, participants are asked to upload their genetic testing report to allow GenomeConnect staff to capture important genomic information. After participants have shared their genetic and health information through the online portal, that information is prepared for de-identified sharing with approved, publicly available databases, such as NCBI’s ClinVar database, a repository for genomic variants. Once enrolled, GenomeConnect participants have the ability to match with one another via […]

Data sharing to support UK clinical genetics and genomics services

This is a guest post by Sobia Raza – a policy analyst specialising in data science at the PHG Foundation. Originally published here under the title “Responsible, proportionate data sharing for better and safer genetic services”. Introduction The PHG Foundation, are a health policy organisation with a focus on how genomics and other emerging health technologies can provide more effective, personalised healthcare. The Association for Clinical Genetic Science (ACGS), are the professional association for clinical genetics scientists in the UK. The two organisations have recently collaborated to deliver a joint report which examines the challenges to data sharing within UK clinical genetics and genomics services and to identify priority areas for policy development. The report underscores how data sharing is essential to the delivery of NHS clinical genetics services and the clinical care of patients. Access to high quality data on genomic variants can not only inform the diagnosis and clinical management of patients, but also reduce the risk of potential misdiagnoses arising from insufficient or incorrect information about these variants. Other serious consequences of sub-optimal data sharing are delays in patient diagnosis and variations in the quality of testing services. Yet despite the clinical importance of data sharing, current […]

Why we should stop talking about data sharing

This is a guest post by Barbara Prainsack. Barbara Prainsack is a Professor at the Department of Social Science, Health & Medicine at King’s College London. She has published widely on social, ethical and regulatory issues related to genomic research and medicine. A book (with Alena Buyx) on Solidarity in Biomedicine and Beyond, which includes a case study on database governance, will be published by Cambridge University Press next year. Barbara is in the process of finalising a monograph on Personalization from Below: Participatory Medicine in the 21st Century (under contract with New York University Press). A lot of people who promote data sharing – including the people behind DNAdigest – are doing great things; they devote their time to finding ways to utilise and re-use data in ways that promote disease research, advance knowledge, and create public benefits. The people behind these initiatives, and those who contribute their own data to them (see for example DNAland, OpenSNP, Genes for Good which are all initiatives aiming at data sharing for public benefit) are pioneers in creating social value. At the same time, some of the voices in the choir of those who call for data sharing belong to commercial companies. […]

The upcoming EU Data Protection Regulation: what consequences could it have for research?

As they are now, the EU Parliament’s amendments to the Data Protection Regulation (DPR) prohibit the use of identifiable health data without specific consent and set tough limits on the use of pseudonymised data. Learn what this could mean for research! What is going on? In January 2012, the European Commission proposed a comprehensive reform of data protection rules in the EU. The current rules from 1995 do not cover the areas of globalisation and technological developments like social networks and cloud computing sufficiently. The EU aims to complete the new version of the policy by the end of 2015 meaning that at this very moment representatives from the three EU institutions – the European Parliament, European Commission and the Council of Ministers – are working together to agree on a final text of the draft law. Read here in more detail why the reform of the data protection rules from 1995 is needed. Although the idea to control what is going on with your personal data is good, one can go really far and overprotect things beyond decent levels. For example, What consequences could it have for research? This new regulation as it is now will make the process […]

The key elements of good data sharing practice

This is a guest post by Wellcome Trust. Originally published on blog.wellcome.ac.uk The Wellcome Trust is a leading partner in the Public Health Research Data Forum, which brings together research funders who are committed to increasing the sharing of health research data in ways that are equitable, ethical and efficient and will accelerate improvements in public health. On behalf of the Forum, the Trust funded a major international study of stakeholders’ views about best practices for sharing public health research data from low and middle income settings, which recently published its results. Dr Susan Bull and Prof Michael Parker, from The Ethox Centre, University of Oxford, discuss the key issues and findings of the study. Data-sharing is increasingly seen as an important component of effective and efficient biomedical research – both by researchers, and research funders. At the same time, it is recognised that efforts to increase access to individual-level data raise important ethical and governance challenges, some of which may vary depending on the context in which the research takes place. The primary argument in favour of more routine sharing of de-identified research data is its potential to generate more – and higher quality – science. This could in turn lead to improved health outcomes, and promoting […]

How research data sharing can save lives

This is a guest post by Trish Groves, head of research at The BMJ.  Originally published on BMJ.com website. Everyone’s been missing a trick. The whole debate on sharing clinical study data has focused on transparency, reproducibility, and completing the evidence base for treatments. Yet public health emergencies such as the Ebola and MERS outbreaks provide a vitally important reason for sharing study data, usually before publication or even before submission to a journal, and ideally in a public repository. Not just from randomised controlled trials, but from case series and samples, lab testing studies, surveillance studies, viral sequencing, genomic work, and other epidemiological observational studies too. During the Ebola crisis, researchers couldn’t or wouldn’t share data. Last week WHO held a consultation meeting in Geneva to tackle this. One big reason for withholding data was the mostly unfounded fear of having subsequent papers rejected by journals. But researchers capturing vital information in the field and in coordinating centres were too busy to write and submit those papers, and thus much time was lost before vital information could be disseminated. Did people die because of the Ingelfinger rule against prior publication? There were also, of course, some commercial disincentives to early data sharing, with […]

sharing

The Sharers’ Leaderboard: an h-index for data sharing

The idea for this guest post by Kate Hodesdon of Seven Bridges Genomics grew out of a discussion with Adam Resnick (Children’s Hospital of Philadelphia) and Deniz Kural (Seven Bridges Genomics). There is widespread recognition that sharing data benefits science. In this article, I’ll examine the best practices of data sharing, and assess the prospects for codifying these into a metric for how well scientists share data. When scientists say that sharing data is good for science, they have certain models of sharing and certain kinds of data in mind. I want to look at what makes someone a good sharer of data. For instance, simply being a prolific sharer is useless if the quality or relevance of the data is poor. And sharing high-quality data is not helpful if it you store it in an insecure repository, or an obscure format. Clarifying best practices of data sharing will help us maximize the value of shared data, but it can also play another important role of helping to incentivize data sharing. The problem of incentivization is that while data sharing undoubtedly benefits scientific progress, it is only beneficial to individuals if they can take advantage of another’s shared data. In […]

ecology concept

Ecological Perspective on Data Sharing

We have invited Charlie Outhwaite (@charlielouo) to write a guest blog post on the topic of openness and data sharing from an ecological point of view. The post give us the great opportunity to draw a parallel on how the same type of data sharing problems we are experiencing in the field of genomics are observed across different scientific disciplines. The field of ecology is a vast and varied one. As a result, the types and quantities of data produced differ hugely.  Whether a study is small in scale, such as a field or lab based project, or a large, country or global scale, big data study: the amount of data that could be made available is enormous.  Yet the field of ecology has been considered as behind in terms of its openness when compared to other areas of biology such as genomics. With such vast amounts and types of data available, sharing that data openly has the potential to boost research opportunities and open up collaboration within and between fields. As is the case within many scientific disciplines, a major barrier for data sharing in ecology is the fear of being scooped. For this reason, many researchers would be unlikely […]

DNAdigest interviews the Human Variome Project

We were deeply shocked and saddened to hear of the death of a real force for good in the world, Professor Richard Cotton. DNAdigest team would like to extend our most sincere condolences to his family and his colleagues who worked closely with him on the Human Variome Project. He was a great inspiration and huge encouragement to preserve our work for the common goal of sharing data. Only a couple of weeks ago we interviewed Professor Cotton about his work on the Human Variome Project and his passing away so suddenly came as a shock to the whole DNAdigest team. Read below Richard Cotton’s answers to the questions that we asked him. Professor Richard Cotton 1. Please provide a short introduction in the Human Variome Project (HVP). What are the mission and aims of the organisation? The Human Variome Project is a non-profit company registered in Australia. It has an international board and an international Scientific advisory committee. Chris Arnold is executive chairman and there are six scientific directors: Mike Watson (US), Garry Cutting (US), Johann den Dunnen (the Netherlands), Sir John Burn (UK), Finlay Macrae (Australia), and Ingrid Winship (Australia). It is inclusive and office bearers are elected. Sharing of […]

British Medical Journal

BMJ Extends Their Data Sharing Policy

BMJ is one of the first medical journals and now known as a global brand with a worldwide audience. It aims to help medical organisations and clinicians tackle today’s most critical healthcare challenges by publishing new academic research, providing professional development solutions and creating new information-analysis tools. In January 2013, BMJ came up with a data sharing policy which made the medical journal one of the first with such regulation. This initial policy was focused mainly on sharing of individual patient data for trials of drug and devices specifying that such trials would be considered for publication only if the authors agreed to make the relevant anonymised patient level data available on reasonable request. As the movement to make data from clinical trials widely accessible has achieved enormous success, BMJ has decided to expand their requirements. From the 1 July, BMJ started applying their data sharing policy to all submitted clinical trials, not just those that test drugs or devices. Making anonymised patient level data from clinical trials available for independent scrutiny will allow other researchers to replicate key analyses, reduce the possibility that studies will be unnecessarily duplicated, and maximise the use of the information from trials. An initial investment […]

BioData World Congress 2015

BioData World Congress 2015

Genomics, big data and bioinformatics mark the start of the journey, while personalised medicine is the end goal. How we get there will depend on whether we can get usable intelligence from the data – and then acting on it. The BioData World Congress, organized by the Health Network Communications Limited will take place from 21st October to the 22nd October 2015 at the Wellcome Trust Conference Centre in Cambridge, UK. The conference will: examine the science and technology that is shaping and revolutionising our understanding of complex biological processes review the game changing innovation, roadblocks, critical success factors in the utilisation of genomic data How big data is driving developments in personalised medicine bring senior scientists within academia, pharma and biotech companies in order to facilitate discussion and partnerships Join the world leading life science research institutions at BioData World Congress at the Wellcome Genome Campus and help make personalised healthcare a reality. The conference will feature speakers and poster sessions across four topics: Bioinformatics, Cloud Computing, Next-generation Sequencing and Personalised Medicine. Fiona Nielsen, our CEO, will be one of the official speakers during day two of the conference and will be happy to chat with any of the […]

Genomic Data

Genomic Data Sharing – Ethical and Scientific Imperative

This is a guest blog post writen by Mahsa Shabani (@Mahsashabani). Genomic data sharing has become an ethical and scientific imperative in the recent years. Funding organizations, research institutes and journals among others, endorsed the significance of data sharing practices to the progress of research and an optimal use of community resources. Consequently, researchers all around the world are extensively involved in the data sharing process, ranging from data production to data use. As sharing practices do involve individuals’ data, the associated ethical and legal concerns should receive thorough attention in order to respect individuals’ rights and maintain public trust. Sharing data via controlled-access public databases has been seen as an answer to the identified concerns at the moment. Data Access Committees (DACs) constructed locally or in a central fashion control access to these datasets according to defined criteria. Evaluating the qualification/eligibility of data users, ethical and scientific grounds of proposed uses and oversight on downstream data uses are considered as the main responsibilities of DACs. While the structure, membership and procedure of access review vary across DACs, some similarities in approaches and mechanisms are observed. A requirement of preparing a summary of data use and signing a data access agreement […]

viral metagenomics

Viral Metagenomics in the Field and in the Clinic

I am very happy to present you a summary of the paper “Beyond research: a primer for considerations on using viral metagenomics in the field and clinic” to which our CEO, Fiona Nielsen, is a co-author. The paper by Hall et al discusses the issues arising when considering metagenomics sequencing for critical applications in the field or clinical applications. What is metagenomics? Usually researchers obtain genetic material (e.g. DNA) from a single source – from an individual patient, isolated plant, fungus, bacteria, virus, etc. But in reality, there are many situations in which myriads of different organisms are present together and it is impossible to isolate their DNA individually. Examples include plants, fungi, and bacteria living in soil or water in a certain area, gut flora living in the human digestive tract, different viruses that affect animals and plants etc. Metagenomics studies genetic material obtained directly from environmental samples, allowing one to identify all species present in the sample at once. This makes metagenomics a very powerful diagnostic tool, and clinical laboratories are about to start using it. But before it takes off, there are several serious issues that need to be sorted out. Hall and collaborators highlight some of […]

precision medicine

Data Sharing Needs to Happen

President Barack Obama used some of his State of the Union oratory to lay out a grand vision for “precision medicine” and announce an initiative to realize it.  I want the country that eliminated polio and mapped the human genome to lead a new era of medicine—one that delivers the right treatment at the right time. This initiative is aiming to provide US citizens with access to the personalized information to direct treatments and healthcare, including genomic medicine.  The announcement brought up lots of discussions among professionals interested in the topic.Colin Hill, co-founder and CEO of GNS Healthcare, a company specializing in precision analytics commented: It’s “about time” for the government to push precision medicine. But there is a risk. Money does a lot of things in spurring research and development. But genomics data needs to be married to real-world impact data. There’s more data sharing that needs to happen! You can take a closer look at the press release article here.

Data Sharing Game

Research Data Sharing Game

As we all know the reuse of research data definitely benefits the scientific community as a whole, but the decision whether to archive and share these data or not depend primarily on individual researchers. For individuals, it is less obvious that the advantages of sharing data outweigh the associated costs, i.e. time and money. In this sense, the problem of data sharing is like a typical game in interactive decision theory, more commonly known as game theory. By definition, game theory is a study of mathematical models of conflict and cooperation between intelligent rational decision-makers. An obvious assumption herein is that an individual will always try to maximize his or her gains relative to the gains of others. In the paper “A Research Data Sharing Game” Pronk et al create a framework in order to investigate the community gains versus the advantages of the individual researcher in the competitive world of scientific research.  For the analysis, they have designed a simple model of a scientific community where researchers publish a certain amount of papers in a given year and have the choice either to share or not. Via this model, the effect of sharing policies, exploration of several cost scenarios, […]

data and bio-specimens

Sharing Bio-specimens and Data

Nowadays, the increasing value of data and bio-specimen collections does not correspond with an equal increase in data/sample-sharing and data/sample access. As we all know sharing data and bio-specimens is essential for the discovery, the knowledge creation and translation of various biomedical research findings into improved diagnostics, biomarkers, treatment development, patient care, health service planning and general population health. There is a constantly increasing international agreement on the urgency to provide access to research datasets, to advance their use and fully apply their long term value. All of this has been clearly noted in many documents such as the OECD Principles and Guidelines for Access to Research Data from Public Funding, the Toronto Statement, and more recently the Global Alliance for Genomics and Health’s White Paper. Even though sharing of data and samples is confirmed to be favourable for most health-related research, it is of highest importance for rare-disease research because of the high deficiency of research participants, samples, data, resources and researchers for any given RD. Thinking in the most perfect way, data and bio-specimens should be made broadly available, but often failed because of institutions and individuals fearing, they will not receive recognition for their investment in building […]

DNAdigest interviews Xpressomics

This week I would like to introduce you to Hendrik Luuk, co-founder and CTO of Xpressomics. He kindly agreed to answer some questions for our post blog series and here it is – first hand information on Xpressomics. Keep reading to find out more about this company and their brand new gene expression search engine. Hendrik Luuk, CTO and Co-founder 1. Could you please give us a short introduction of Xpressomics (goals, interests, mission)? The company was established in order to make gene expression analytics accessible to the majority of life scientists. Our goal is to re-analyze and index tens of thousands of publicly available datasets and offer a search engine to navigate the results. Our interest really is to enable scientists to reinterpret their results in the light of all other experiments ever made. So far you essentially had to perform text search of indexed pdf-s to find what had been published about your gene of interest. With the gene expression search engine, you can easily query one or more genes to identify experimental conditions where they are differentially expressed. It is about connecting the dots between unrelated data sets to gain insight on gene function and regulation. 2. […]

Hamza

Hamza Wahid presented his DNAdigest research project

Nuffield Research Placements (previously Nuffield Science Bursaries) provide over 1,000 students each year with the opportunity to work by the side of professional scientists, technologists, engineers and mathematicians. And this is exactly how our team met Hamza, a Sixth Form student at the Perse School in Cambridge, with an interest in molecular biology and genetics, studying Biology, Chemistry, Double Maths and Philosophy. Over the summer Hamza worked at DNAdigest as a part of the Nuffield Student Research Placement on the Genomic Data Sharing Project where his main task was assisting with the ongoing User Interaction Research. The aim of the project was to investigate how people working with human genetics access, use and store genetic data, how they share it or make it publicly available. During his work with our team, Hamza managed to successfully complete 9 face-to-face interviews with people that work with human genomic data from various different fields as well as help out with the completion of an online survey which was also important for the project. On the 23rd of October, Hamza presented a poster on the Genomic Data Sharing project at the Nuffield Celebration Event Gold CREST Awards, where Nuffield students report how their experience […]

Code for Genomic and Health-Related Data Sharing

The sharing of scientific, genomic and health-related data for the sake of research is of a fundamental importance in order to provide continuous progress in our understanding of human health and wellbeing. While collaboration for data sharing is increasingly embraced by policymakers and the international biomedical community, we still lack a common ethical and legal framework to connect regulators, funders, consortia, and research projects to facilitate genomic and clinical data linkage, global science collaboration, and responsible research conduct. Such framework will definitely assist in the progress of global science and responsible research conduct. This is why BioSHaRE researchers in collaboration with P3G, the Global Alliance for Genomics and Health, IRDiRC (International Rare Diseases Research Consortium), H3Africa and other organizations started to work on the development of an International Code of Conduct for Genomic and Health-Related Data Sharing. This international code will give us the guidance on how to responsibly share genomic and health-related data. It also pushes for better access to the shared data, knowledge, and resources in presently under-served regions. Discussions on the topic had started back in 2013 and are currently continuing. The Code is built around a set of foundational principles and guidelines. It: interprets the right […]

symposium

DNAdigest Symposium 2014 Summary

This past weekend, DNAdigest organized a Symposium on the topic “Open Science in human genomics research – challenges and inspirations”. The event brought together very interested in the topic and enthusiastic people along with the DNAdigest team. We are very pleased to say that this day turned out to be a success, where both participants and organizers enjoyed the amazing talks of our speaker and the discussion sessions. The day started with a short introduction on the topic by Fiona Nielsen. Then our first speaker, Manuel Corpas was a source of inspiration to all participants, talking us through the process he experienced in order to fully sequence the whole genomes of his family and himself and to share this data widely with the whole world.  Here is a link to the presentation he introduced on the day. The Symposium was organized in the format of Open Space conference, where everybody got to suggest different topics related to Open Science or choose to join one which sounds most interesting. Again, we used HackPad to take notes and interesting thoughts throughout the discussions. You can take a look at it here. We had three more speakers invited to our Symposium: Tim Hubbard (slides) talked about how Genomics […]

Best practices for Genomic analysis

Nowadays, rare genetic variants begin to be discovered more and more often. And still no clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are available. Without accurate standards an acceleration of false-positive reports of causality is at a high probability, therefore obstructing the translation of genomic research findings into clinical diagnostics setting and hinder biological understanding of disease. So what are the best practices for genomic analysis? In the paper Guidelines for investigating causality of sequence variants in human disease D. G. MacArthur et al discuss the primary challenges of assessing sequence variants in human disease, integrating both gene-level and variant-level support for causality and introduce guidelines for summarizing in variant pathogenicity and highlight several areas that require further resource development. For us the most interesting part of the paper is the emphasis on the value of sharing sequence and phenotype data from clinical and research samples to the fullest possible extent. D. G. MacArthur team recognises that many investigators and research funders look at data sharing as a moral and professional imperative, nevertheless, sharing of sequence data among testing laboratories has often been blocked, so that many potentially pathogenic […]

symposium

Open Science in human genomics research

UPDATE: only few tickets left – do not forget to register https://dnadigestsym2014.eventbrite.co.uk This November 22nd, DNAdigest is organizing a collaborative symposium. The topic of the event will be “Open Science in human genomics research – challenges and inspirations”. It will take place at the Future Business Centre, Cambridge. You can take a look at this map for directions. At this upcoming collaborative symposium, we will introduce topics like open science, access to sequencing data, privacy concerns around human genomic data, etc., and the schedule of the day will be prepared as a combination of short presentations from invited speakers followed by interactive discussion groups. Join us at the Symposium by signing up here.   You can look forward to inspirational talks to spur excitement and discussions: Manuel Corpas, will talk about how he as a citizen scientist has crowdfunded and crowdsourced the analysis of his personal genome. Linda Briceno, will share her thoughts on legal and ethical implications of data sharing in genomics. Nick Sireau, will talk about how scientists and patients can engage in collaborations, and how Open Science may be either beneficial or challenging in this context. Tim Hubbard, will present how Genomics England is engaging the research community in the 100k […]

research data

Giving research data the credit it’s due

Guest post by Sarah H Carl (@sarahhcarl) In many ways, the currency of the scientific world is publications. Published articles are seen as proof – often by colleagues and future employers – of the quality, relevance and impact of a researcher’s work. Scientists read papers to familiarize themselves with new results and techniques, and then they cite those papers in their own publications, increasing the recognition and spread of the most useful articles. However, while there is undoubtedly a role for publishing a nicely-packaged, (hopefully) well-written interpretation of one’s work, are publications really the most valuable product that we as scientists have to offer one another? As biology moves more and more towards large-scale, high-throughput techniques – think all of the ‘omics – an increasingly large proportion of researchers’ time and effort is spent generating, processing and analyzing datasets. In genomics, large sequencing consortia like the Human Genome Project or ENCODE  were funded in part to generate public resources that could serve as roadmaps to guide future scientists. However, in smaller labs, all too often after a particular set of questions is answered, large datasets end up languishing on a dusty server somewhere. Even for projects whose express purpose is […]

NIH Policies Improving Data Sharing

Policies put into place by major funding agencies like the National Institutes of Health (NIH), and to a lesser extent by scientific journals, aim to increase the sharing of scientific resources among life science investigators. There have been a lot of changes in data-sharing policies over the past 10 to 12 years, and new tools for data-sharing have become available. says lead author Genevieve Pham-Kanter , PhD, assistant professor of Health Management and Policy at Drexel University School of Public Health. He also adds: At the same time, there have been moves by many universities and academic health centers to preserve their intellectual property and limit sharing. Since there had been very little systemic evaluation of how these policies have affected scientists and their sharing behavior, we wanted to get a sense of which policies were working and which were not. In order to measure the influence of those policies, Pham-Kanter and her co-authors – Eric G. Campbell, PhD, Mongan Institute for Health Policy at MGH, and Darren Zinner, PhD, Heller School for Social Policy and Management, Brandeis University – launched a survey. Almost 1,000 out of 3,000 investigators completed and returned this survey. 65 percent of them believed that NIH […]

Cambridge news: interview with Adrian Alexa

As you may already know, DNAdigest has recently spun-out Repositive (formerly knows as Nucleobase),  the social enterprise to develop Open Source software tools for researchers. Not long ago, Adrian Alexa, our CTO,  gave an interview for Cambridge News explaining more in depth what lays behind the idea of Repositive. Take a look: That bit in Jurassic Park where Dickie Attenborough explains about Dinosaur DNA (“and bingo… Dino DNA!”) – and then the insect rolls down the tree covered in sap – is, sadly, the total extent of many people’s knowledge of genomic data. You won’t be shocked to hear that there’s quite a lot more to it and, as usual, Cambridge is leading the way. Repositive Ltd (a social enterprise and part of the Social Incubator East programme) is a spin-out of the Cambridge-based charity DNAdigest, fronted by founder Fiona Nielsen and her colleague Adrian Alexa who are both former employees of Illumina (the world leaders in genomic research with a UK office in Saffron Walden). Their mission statement is to ‘empower efficient access and the sharing of genomic data’. Adrian explains: The current practice for sharing and accessing genomic data is very poor. Typically, when a clinic sequences an individual, they will […]

DNAdigest interviews SolveBio

DNAdigest continues with the series of interviews. Here we would like to introduce you to Mr Mark Kaganovich, CEO of SolveBio, who agreed on an interview with us. He shared a lot about what SolveBio does and discussed with us the importance of genomic data sharing. Mark Kaganovich, CEO of SolveBio Could you describe what SolveBio does? SolveBio delivers the critical reference data used by hospitals and companies to run genomic applications. These applications use SolveBio’s data to predict the effects of slight DNA variants on a person’s health. SolveBio has designed a secure platform for the robust delivery of complex reference datasets. We make the data easy to access so that our customers can focus on building clinical grade molecular diagnostics applications, faster.   How did you come up with the idea of building a system that integrates genomic reference data into diagnostic and research applications? And what was the crucial moment when you realised the importance of creating it? As a graduate student I spent a lot of time parsing, re-formatting, and integrating data just to answer some basic questions in genomics. At the same time (this was about two years ago) it was becoming clear that genomics was going […]

Publishing and Sharing Sensitive Data

Some data are born sensitive, some achieve sensitivity, and some have sensitivity thrust upon them! The Australian National Data Service (ANDS) has just released a Guide to Publishing and Sharing Sensitive Data which includes a decision tree to help researchers decide whether they can publish such data. The guide is drawing the best practice for publication and sharing of sensitive research data in the Australian context. It provides genuine, step-by-step advice about what you need to know and do before publishing and sharing your sensitive data, including confidentialising your human and sensitive data, how to legally do that, what to include in a consent form requesting data publication and sharing etc. By following this Guide, and the steps within, you will be able to make clear, lawful, and ethical decisions about sharing your data safely. In most cases it can be done! By definition sensitive data are ‘data that can be used to identify an individual, species, object, process, or location that introduces a risk of discrimination, harm, or unwanted attention’. For example, sensitive human data most commonly refers to sensitive personal information. That is when the information shared can be used to identify a person or group of people. Personal […]

data accessibility

DNAdigest published: A Focus on Data Accessibility

The DNAdigest team is very happy to announce that our paper ‘The need to redefine genomic data sharing: A focus on data accessibility‘ has been published in the special issue of the Journal of Applied and Translational Genomics as an open access publication. At DNAdigest, we are aiming to improve the shared amount of genomic data which current state is far from sufficient. Believing is not enough in this case so it was important for us to get some real numbers! We interviewed genetics researchers and ran an online survey in order to find out how much and in what way genomic data is being shared.   Through those in-depth contextual interviews along the online survey, we have managed to assess the state of genomic data sharing. Our finding showed that, although the procedures that researchers follow differ among universities, industry and clinics, there are still many common steps in their workflows. Unsurprisingly, most of the researchers agreed that they do not share enough data and would like this situation to change. If you want to take a look at what else we have discovered, be welcome to read the whole article: T v Schaik et al, The need to […]

DNAdigest interviews Aridhia

As promised last week in the DNAdigest’s newsletter, we are giving life to our first blog post interview. Be introduced to Mr Rodrigo Barnes, part of the Aridia team. He kindly agreed to answer our questions about Aridhia and their views on genomic data sharing.  Mr Rodrigo Barnes, CTO of Aridhia 1. You are a part of the Aridhia team. Please, tell us what the goals and the interests of the company are? Aridhia started with the objective of using health informatics and analytics to improve efficiency and service delivery for healthcare providers, support the management of chronic disease and personalised medicine, and ultimately improve patient outcomes. Good outcomes had already started to emerge in diabetes and other chronic diseases, through some of the work undertaken by the NHS in Scotland and led by one of our founders, Professor Andrew Morris. This included providing clinicians and patients with access to up-to-date, rich information from different parts of the health system. Aridhia has since developed new products and services to solve informatics challenges in the clinical and operational aspects of health. As a commercial organisation, we have worked on these opportunities in collaboration with healthcare providers, universities, innovation centres and other […]

The Duty to Share Patient Information

The duty to share information can be as important as the duty to protect patient confidentiality. Vince Kuraitis and Leslie Kelly Hall released a report discussing in depth topics that concern all of us. They have emphasised and pointed out two things that are missing when talking about data sharing: The explicit recognition of a corollary duty to share patient information with other providers when doing so is the patient’s interest, and a recognition that there is potential tension between the duty to protect patient confidentiality/privacy and the duty to share – with minimal guidance on how to resolve the tension. Their article refers to and discusses three main topics: First of all, Vince and Leslie talk about the recent recognition in the UK, giving us examples from one long-awaited study commissioned by the Department of Health. They have identified the key discoveries from The Information Governance Review Report (Caldicott Review), citing in the essay: …safe and appropriate sharing in the interests of the individual’s direct care should be the rule, not the exception. Caldicott review initial report had suggested 6 acknowledged principles for information sharing, but now the recognition of an explicit duty to share patient information was added […]

dbGaP Improves Access for Individual-Level Genomic Data

“dbGaP Collection: Compilation of Individual-Level Genomic Data for General Research Use” is a new data set collection that is expected to become a very useful tool for researchers. Due to many requests from the scientific community, the NIH brought into play a change in the procedures for accessing aggregate-level data. Most of the dbGaP studies have considerable fraction of participants who consented for “General Research use” (GRU) NIH have recognized and acknowledged those consents to be essentially the same, even though the individuals participated in different studies. As a result this collection was created allowing users to obtain the data. Furthermore, in order to make the process of requesting access less painful and faster, it will be reviewed by a single, central Data Access Committee and users can gain entry through a single access request. The process is identical to those for individual-level, controlled-access data and you can find the instructions for requesters here. Investigators being authorized for access to the datasets within the collection will have the standard one-year approval period. In the meantime, one can choose to use data only from some individuals, but will still have access to all of the information. Additionally, the datasets are going to be updated […]

hack day

Hack Day August 2014 Summary

This past weekend, our fourth Hack Day brought together some very enthusiastic people along with the DNAdigest team in the Future Business Centre in Cambridge to discuss the development of the Data Discovery Tool we are working on. We are very excited to say that the day turned out to be very productive. Fiona Nielsen, our CEO, started with a short presentation explaining who we are and what we have done so far. Through the course of the day our attendees divided into three groups each discussing different topics while our team integrated a member into each group so that we could follow up with everyone. Interesting discussions on what exactly can be done to improve the existing prototype on data discovery spread around fast and people were really keen on brainstorming new ideas. Hamza, our Nuffield research student, was going around interviewing. He managed to learn about the workflows and the various online repositories used to access genetic data of three Hack Day participants who use human genomic data in their work. The text mining group explored the options for automatically analysing data set descriptions and labelling them with appropriate ontology tags. One very active contributor was Peter Murray-Rust who […]

Survey: Genomic Data Access and Sharing

How do you make genomic data available? Genomic research is progressing more rapidly than ever before, as are the workflow habits and preferences of researchers. The question regarding the sharing of genetic data is the one that we at the DNAdigest team are trying very hard to answer. In order to gain an insight in to how researchers access and share genomic data, we have launched a survey that will ultimately further our aim of advancing genomic research by promoting efficient and ethical data sharing. So if you are a researcher who uses human genomic data and you are directly affected by the difficulties of accessing and sharing this data, it will be highly appreciated if you take part in DNAdigest’s survey. You can also have a say here and help us find out what the biggest problems regarding it are. DNAdigest Survey is online now! The Survey has a unique functionality which will allow you to go through it very quickly. It will not take more than 4-5 minutes of your time for filling it in. The outcomes will be published and shared with genomic research community, but your individual responses will be kept confidential. Thank you a lot in advance for your responses! Your participation is […]

hack day

DNAdigest Fourth Hack Day

Our Fourth Hack day will be held on the 02/08/14 at 9:30am at the Future Business Centre, King’s Hedges Road, Cambridge, CB4 2HY. Check this map for directions.  The schedule is now available online here. You can also take a look at what we managed to do on our previous Hack Day or explore the storify page of the event. At this the upcoming brainstorm session we will further develop the Data Discovery tools for genomics research using metadata to make data discovery faster, benefiting researchers by accelerating the initial steps of data access.  Join us on the Hack Day by signing up here Hackpad will be our tool of choice for notetaking/collaborating during the day, and we encourage everyone to join with their notes and comments. You are very welcome to tweet and track the progress using our hashtag #DNAhdFor the technically minded, we suggest you bring your laptop. For those more interested in discussions and paper prototyping, just bring your brains and enthusiasm, and we will provide paper materials. There will be lunch and tea/coffee breaks during the day. Don’t Forget to Signup to the event through our eventbrite page on dnadigest4hd.eventbrite.co.uk DNAdigest team is really looking forward to seeing you in Cambridge!

Genomic Privacy: the Rise of New Research Community

 Genomic Privacy and the Rise of a New Research Community When genomic is mentioned, most people think about huge, heavily-funded international consortia, such as the Human Genome Project. Nowadays, sequencing platforms are readily available meaning that individual labs can actually sequence whole genomes (Whole Genome Sequencing or WGS). For the research in genomics, collecting of a large number of digitalized genomes is of a great importance. As the prices of full sequencing goes down the personalised medicine becomes more and more popular. Of course, the availability of this data will help clinicians run complex tests regarding a patient in a matter of seconds. However, there are issues regarding the privacy due to the unprecedented sensitivity of the genomic data. Lots of funding agencies have now introduced requirements for data sharing while the Personal Genome Project intent to create a dataset of volunteers’ sequenced genomes and make it public for research purposes. However, there are a lot of arguments whether this should be done. Recently Erman Ayday and colleagues created an article stating that the consequences of genomic data disclosure aren’t limited in time and also it reveals a huge amount of information about one’s relatives due to its hereditary nature. This means that […]

Canadian Open Genetics Project (COGR)

Canadian Open Genetics Repository (COGR) is the creation of a unified, open-access, clinical-grade genetic database. The project is to last three years and is funded by the government of Canada through Genome Canada and the Ontario Genomics Institute. It is great to see data access issues in genetics research being addressed by national governments. 

hack day

Summary of Our Previous Hack Day – 4th April

Soon (August 2nd) we are going to have our fourth Hack Day. As the time is passing and we are getting closer and closer to it, we have decided to remind you how the participants of our last event brainstormed and came up with new ideas and plans. I suggest you take a look at the Summary of our previous Hack Day that was focused on developing Data Discovery tools for genomic research. We are very excited about the upcoming Hack Day where we will further develop the ideas and prototype Data Discovery tools to support the work of genetics research. You are very welcome to join us. The tickets are free and there will be a nice lunch. Detailed agenda is being prepared and will be available very soon. We are looking forward to seeing you in Cambridge. 🙂

Padlock holding blue doors shut

Data Hoarding Kills

It may seem dramatic but data hoarding really does kill, as more and more findings show. Fast technological advances should mean faster research, faster diagnoses and faster cures. But data hoarding is slowing this process down and preventing these technological advances from having the efficient and effective results that they should. As recode.net reports, huge research institutions – from IBM to UC Berkeley –  are backing artificial intelligence and big data to develop better treatments for genetic disease. But while data hoarding continues to be common practice in research these computational tools can only produce limited results. To harness the power of these computation tools we need to open up data. The regulations need to move with the technology. Through innovative solutions data can be kept secure and anonymous without being locked away and untouchable. The consequences of data hoarding are real. Lives will be saved with improved data access. Much of the research is already out there, and the technology to quickly analyse hundreds of thousands of clinical trials and genomic data is fast being developed. Yet accessing the data remains a problem. And its one that we need to solve. Read the full story on recode.net here.  

Report: Changing Cultures To Support Data Access

This May the Wellcome Trust published a report from the Expert Advisory Group on Data Access (EAGDA). ‘Establishing Incentives and Changing Cultures to Support Data Access’ is a report which aimed to understand the factors which affect the ease with which individual researchers can make their data available to other researchers. Read the full report and you will see that it echoes earlier research in the area and highlights a key issue: data sharing is not yet being given the status it deserves. As stated under the reports ‘key findings’ “the infrastructures needed to support researchers in data management and sharing, and to ensure the long-term preservation and curation of data, are often lacking (both at an institutional and a community level)”. Data sharing continues to be a major subject of debate and through such debate and investigation the need for to improve the infrastructure of data sharing, to widen and better the data sharing that exists, is continually emphasised. The results of this report show that need for clear and updated policy is real. Data sharing in research is not something that can be ignored. It has already taken a hold in genomics and through collaboration we can really […]

Write for Data Sharing Essay Competition: Winning Entry by Eilish Wells

The following is the winning essay from the DNAdigest write for data sharing essay competition. The essay is written by Eilish Wells. What is the current state of data sharing in 2014 and how can we encourage best practices for ethical and efficient data sharing? by Eilish Wells Data sharing has become the topic of heavy debate, around ethical, legal and funding issues; particularly concerning the sharing of patient records from the National Health Service (NHS). Data Sharing is a concept that has received noticeable support from many sources and it is often considered a crucial tool to further scientific understanding in every field. It has even been described as the ‘fourth paradigm: data intensive scientific discovery’ (1) and, if correctly used, has the potential to unlock many questions that have so far eluded researchers. January 2013 saw the collaboration of seventy organisations to form the Global Alliance for Genetics and Health (GAGH). The alliance now has 148 members and is an international non-profit organisation with an aim to ‘tackle the challenges of genomic and clinical data sharing’ and ‘to make it possible to share and interpret this wealth of information’. (2) GAGH was initially driven by the fall in […]

Honourable Mention: Clara Podmore Data Sharing Essay

How do you imagine the future of data sharing in healthcare or research? This post was written by Clara Podmore as one of the honorable mentions for our data sharing essay competitions. Since the discovery of the structure of DNA in 1953 by Watson and Crick, research in the field of human genetics has progressed at an incredible pace and is now clearly impacting the way medicine is being practiced and taught. The vision is that better understanding of genetics will not only allow identification of individuals at risk of developing a given disease and hence enable prevention, but that it will also allow personalisation of medical care to patients. For example, treatments will be prescribed more appropriately to patients based on their genetic information, hence improving drug response while decreasing the number or risk of side effects of medication, such as potentially fatal drug reactions. In addition, the identification of mutations, which are faults in DNA which may lead to disease, will provide a better understanding of the disease process and hence provide new targets for drug development. In this present time, when obtaining a DNA sample is a fairly non-invasive procedure and can be done simply by taking […]

Andrew Magee

Honourable Mention: Andrew Magee

The Makings of a Meta-Analysis or: How I Wasted Dozens of Hours Obtaining Publicly Available Data This post was written by Andrew Magee as one of the honorable mentions for our data sharing essay competitions. Phylogenies are estimates of the genealogical relationships among species, and are increasingly critical to research in a vast and rapidly expanding number of scientific disciplines, including evolutionary and conservation biology, comparative genomics, medicine and epidemiology. The process of estimating phylogenies from genetic sequence data is technically demanding and computationally intensive: many modern estimation techniques rely on Bayesian Markov chain Monte Carlo (MCMC) methods, which can require a great deal of expertise to apply and hundreds or thousands of CPU hours to perform. Given their incredible utility and the effort required to estimate them, it is crucial that phylogenetic data are readily available to the scientific community. There have been numerous initiatives to promote the permanence of and increase access to phylogenetic data, among these are strict journal and publisher policies and even a government mandate for publicly funded projects. Stated reasons for such policies are variable, but reproducibility and accountability, foundational ideas of science, are common. Still, despite policies mandating data sharing, and a clear […]

health data sharing model

Paper: Big Desire to Share Big Health Data

The recent paper, Big Desire to Share Big Health Data: A Shift in Consumer Attitudes toward Personal Health Information, exploring the desire (or lack of desire) to share big health data provides a lot of encouragement for the future of health data sharing. The paper, co-authored by K. Thomas Pickard and Melanie Swan, summarises consumer attitudes towards the sharing of personal data, taken from a survey. The online survey is ongoing and takes only 5 minutes to fill out. The findings suggest that attitudes towards data sharing are changing for the positive with more people willing to share a variety of data relating to health. Even more importantly the paper indicates that the way to increase this positive attitude towards data sharing is through education. It appears that it is those with higher levels of education who are more open to data sharing possibilities. This further highlights the already prevalent need to increase science literacy within the wider public. Another key theme, drawn out by K. Thomas Pickard in his blog, is the need to develop models to encourage data sharing and which connect consumers to their data. We have seen in the Genetics Clinic of the Future that patients represent a key aspect of the […]

graphic exploring the genetics clinic of the future and data sharing

GCOF: The Server Room and Data Sharing

The graphic below, ‘The Server Room’ visualises the processes and challenges associated with sharing our data. It’s been a bit of a wait for the final instalment of output from the Genetics Clinic of the Future – the interdisciplinary conference run by UMC Utrecht and The Responsible Innovation Collective which took place this January. The fifth and final poster specifically explores data sharing and how we can promote an open data sharing environment. Professor Anthony Brookes led the session, suggesting that the first step toward open ethical data sharing is to share the ‘existence’ of the data to promote the sharing of the ‘substance’. We will be exploring this concept of Data Discovery further at our hack day event Saturday April 5th. Take a look at the full poster to explore the theme in more detail. A higher resolution image can be found here. All the graphics from the Genetics Clinic of the Future were produced by ©Ruben Maalman Illustrations.  

The DNA Digest Write for Data Sharing competition.

The DNAdigest Write For Data Sharing Essay Competition

We are pleased to launch our first essay competition, we are looking for entries of 800 words in answer to one of our questions in the theme of data sharing in research. The winner will receive a £200 cash prize and finalists will have their work published on the DNA digest website, as well as honourable mentions. Please choose from one of these questions more information and helpful tips for the questions are on the essay competition page. 1) What is the current state of data sharing in 2014 and how can we encourage best practices for ethical and efficient data sharing? 2) Describe a time in your research when data sharing had a positive impact or when lack of data sharing had a negative impact on your research. 3) Describe a time when data sharing has had a negative impact on your research? 4) How do you imagine the future of data sharing in healthcare or research? The judging panel includes Dr Adam Harman-Clarke from Geneix, Dauda Bappa Project Manager from StoreGene and Amy Marquis curator at the Fitzwilliam Who will be looking for articles with the best written style, insight of content and the societal relevance of the writing. Prize: £200 Entries […]

Tweet for data sharing

DNA Digest Tweet for Data Sharing Competitions

As part of sharing best practices and encouraging world wide discussion DNA Digest is launching it’s first Data Sharing competition please see below for more details: DNA Digest Tweet for Data Sharing – Open for entries 10th – 23rd of February 2014 140 characters for the chance to win £50 of Amazon vouchers, the competition is open internationally from the 10th to the 23rd of February 2014. To enter tweet @DNADigest your #tools, #database or #challenges for sharing genetic data! You can tweet as many times as you like however we will only consider your latest tweet as your entry. We will announce the winner through twitter so please remember to follow us @DNADigest For more details and terms and conditions please head to our competitions page.

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