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
Code of practice for research data usage metrics release 1
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
Make Data Count Winter 2018 Update
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
Make Data Count Update: November, 2017
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
COUNTER Code of Practice for Research Data Draft 1
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
COUNTER Code of Practice for Research Data Draft Update
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
COUNTER Code of Practice for Research Data
COUNTER is a non-profit organization supported by a global community of library, publisher and vendor members, who contribute to the development of the Code of Practice through working groups and outreach. COUNTER and MDC are collaborating to develop and publish a Code of Practice for Research Data. This set of recommendations will focus on how … Continue reading COUNTER Code of Practice for Research Data
Make Data Count: Building a System to Support Recognition of Data as a First Class Research Output
The Alfred P. Sloan Foundation has made a 2-year, $747K award to the California Digital Library, DataCite and DataONE to support collection of usage and citation metrics for data objects. Building on pilot work, this award will result in the launch of a new service that will collate and expose data level metrics. The impact … Continue reading Make Data Count: Building a System to Support Recognition of Data as a First Class Research Output
New MDC Website!
This is the excerpt for your very first post.
