Kate Hodesdon

Highlights of 2015: Blog Posts & Publications

2015 was a great year for DNAdigest! We organised more events, welcomed more volunteers to the team and increased our output of online communications and blog generation! It has been a joy to watch our followers and online community grow with us and as we approach the end of the year, we want to dedicate this blog post to looking back over 2015 and celebrate the achievements we made together!   Blog Posts: April 8th – ‘Genomic Data Sharing – Ethical and Scientific Imperative’ We chose this guest post by Mahsa Shabani because it was one of the most popular blog posts from 2015. Here Mahsa discusses how sharing data via controlled-access databases has been seen as an answer to the identified privacy and legal complications of sharing data. While the structure, membership and procedure of access review varies across DAC’s, Mahsa warns that such access review mechanisms have rarely received attention. By establishing adequate oversight mechanisms on data sharing, progressive and reposonsible data use will be on the horizon. Read more . . . July 8th – ‘The Sharers’ Leaderboard: an h-index of data sharing’ We chose this guest post by Kate Hodesdon from Seven Bridges Genomics because it discusses the possibly of codifying best practices of […]

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 […]

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