DataONE Implements New Usage and Citation Metrics to Make Your Data Count

Crossposted from DataONE blog: https://www.dataone.org/news/new-usage-metrics  Publications have long maintained a citation standard for research papers, ensuring credit for cited work and ideas. Tracking use of data collections, however, has remained a challenge. DataONE is pleased to share our latest effort in overcoming this barrier and in demonstrating data reuse with new data usage and citation metrics. … Continue reading DataONE Implements New Usage and Citation Metrics to Make Your Data Count

Make Data Count & Scholix Join FORCE(2018)s

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

COUNTER Code of Practice for Research Data Usage Metrics Release 1

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

Publishers: Make Your Data Citations 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!