Tag: Data-level metrics

Datacite Citation Display: Unlocking Data Citations

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…

January 7th, 2020

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…

October 22nd, 2018

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…

September 18th, 2018

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…

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…

November 10th, 2017

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…

April 14th, 2016

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,…

March 28th, 2016

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…

September 9th, 2015

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…

August 31st, 2015

Archives