Are published datasets actually being cited? It’s a question that must cross the mind of any avid reader of this blog at least once. We have talked about data citation plenty on this blog. Often, though, we talk about the links between academic resources and datasets — the kind of links collected by our Event […]
Data-level metrics
Make Data Count and Scholix join FORCE(2018)s
This blog post was cross-posted from the Make Data Count blog. With Make Data Count now in its second year, the focus is shifting from building infrastructure to driving adoption of our open data-level metrics infrastructure. As described in previous blog posts, we built and released infrastructure for data level metrics (views, downloads, citations). While […]
COUNTER Code of Practice for Research Data Usage Metrics release 1
Crossposted from the COUNTER announcement from September 13, 2018. There is a need for the consistent and credible reporting of research data usage. Such usage metrics are required as an important component in understanding how publicly available research data are being reused. To address this need, COUNTER and members of the Make Data Count team […]
It’s Time to Make Your Data Count!
One year into our Sloan funded Make Data Count project, we are proud to release Version 1 of standardized data usage and citation metrics! As a community that values research data it is important for us to have a standard and fair way to compare metrics for data sharing. We know of and are involved […]
Make Data Count Update: November, 2017
This blog post by Daniella Lowenberg was cross-posted from the Make Data Count blog. The Make Data Count (MDC) project is moving ahead with full force and the team wanted to take a moment to update the research stakeholder community on our project resources and roadmap. In September, the MDC team sat down and mapped […]
It’s all about Relations
In a guest post two weeks ago Elizabeth Hull explained that only 6% of Dryad datasets associated with a journal article are found in the reference list of that article, data she also presented at the IDCC conference in February [@https://doi.org/10.5281/zenodo.32412]. This number has increased from 4% to 8% between 2011-2014, but is still low. […]
The Location of the Citation: are Data Citation Recommendations Having an Effect?
I was pleased to present at IDCC16 on a research paper called The location of the citation: Changing practices in how publications cite original data in the Dryad Digital Repository (see preprint: Mayo et al, [-@https://doi.org/10.5281/zenodo.32412]). Recently, organizations including CrossRef and the Digital Curation Center (DCC) have recommended as a best practice that original data […]
Announcing Data-Level Metrics in DataCite Labs
Last week Jennifer Lin shared information on the Making Data Count (MDC) project on this blog. MDC is a project funded by the U.S. National Science Foundation (NSF) to design and develop metrics that track and measure data use – data-level metrics (DLM). Funding for the 12 month project ends October 1st, with a no-cost […]
When Counting is Hard
This is a guest post by Jennifer Lin, project manager for the Making Data Count project, and since last week CrossRef Director of Product Management. 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 […]