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 we developed a new COUNTER endorsed Code of Practice for Research Data … Continue reading Make Data Count & Scholix Join FORCE(2018)s
Crossposted from COUNTER on 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 (California Digital Library, DataCite, and DataONE) collaborated in … Continue reading COUNTER Code of Practice for Research Data Usage Metrics Release 1
It’s been two exciting months since we released the first iteration of our data-level-metrics infrastructure. We are energized by the interest garnered and questions we’ve received and we wanted to share a couple of highlights! July Webinar Soon after launch we hosted a webinar on “How-To” make your data count. Thank you to the 100 … Continue reading Make Data Count Summer 2018 Update
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 … Continue reading It’s Time to Make Your Data Count!
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