Day: 29 September 2015

When Counting is Hard: the Making Data Count project

This is a guest post by Jennifer Lin, project manager for the Making Data Count project. Originally published here. Counting is hard. But when it comes to research data, not in the way we thought it was (example 1, example 2, example 3. The Making Data Count (MDC) project aims to go further – measurement. But to do so, we must start with basic counting: 1, 2, 3… uno, dos, tres… MDC is an NSF-funded project to design and develop metrics that track and measure data use, “data-level metrics” (DLM). DLM are a multi-dimensional suite of indicators, measuring the broad range of activities surrounding the reach and use of data as a research output. Our team, made up of staff from the University of California Curation Center at California Digital Library, PLOS, and DataONE, investigated the validity and feasibility of using metrics by collecting and investigating the use of harvested data to power discovery and reporting of datasets that are part of scholarly outputs. To do this, we extended Lagotto, an open source application, to track datasets and collect a host of online activity surrounding datasets from usage to references, social shares, discussions, and citations. During this pilot phase we […]

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