Many publishers have implemented open data policies and have publicly declared their support of data as a valuable component of the research process. But to give credit to researchers and incentivize behavior for data publishing, the community needs to promote proper citation of data. Many publishers have also endorsed the FORCE Data Citation Principles, Scholix, … Continue reading Publishers: Make Your Data Citations Count!
The Make Data Count team is rapidly approaching the first release of standardized and comparable data level metrics (DLMs) on California Digital Library’s Dash and DataONE repositories. Resources on this release will be available shortly, but in the meantime the team would like to share updates on work completed in winter and our spring roadmap. … Continue reading Make Data Count Update: Spring, 2018
Kicking off Love Data Week 2018, the Make Data Count (MDC) team is pleased to announce that the first iteration of our Code of Practice for Research Data Usage Metrics Release 1 has now been posted as a preprint. Beginning in June, members from the MDC team and COUNTER began conversations around what a standard … Continue reading Code of practice for research data usage metrics release 1
For the past few months, we have worked to garner interest and facilitate discussion about data usage metrics within the community. Internally, we are working to drive development toward comparable, standardized data usage metrics and data citations on repository interfaces. We are excited to share our progress and we want to thank those who have … Continue reading Make Data Count Winter 2018 Update
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 out the project plan for our two-year grant. Working in an agile method, we … Continue reading Make Data Count Update: November, 2017
Following our draft update and executive summary, Make Data Count and COUNTER are proud to release our first draft of a Code of Practice for Research Data. This first iteration is meant to be a draft, and our goal is to receive input and feedback from the community. We ask that you please comment on … Continue reading COUNTER Code of Practice for Research Data Draft 1
As a research and scholarly communications community, we value methods to gauge the impact of research outputs, and we do this in the forms of citations and downloads. But, until now this has been limited to traditional journal publications, and scholarly research is much more than an article. Foremost, data play a major role in … Continue reading COUNTER Code of Practice for Research Data Draft Update