Following advice from our workshop attendees at RDA13, we invite you to join us for our spring webinar. Join us on May 8th at 8am PST/3pm GMT as we demo our new aggregation services at DataCite and DataONE. This webinar is intended to spotlight the features and services we can build off of our central infrastructure such as aggregated usage and citations. This webinar will be recorded and posted on our website.
Join us on March 26th at 8:00am PST/4:00pm GMT for a webinar on repository implementation of our COUNTER Code of Practice for Research Data and Make Data Count recommendations. This webinar will feature a panel of developers from repositories that have implemented or about to release standardized data metrics: Dataverse, Dryad, and Zenodo. We will interview each repository on their implementation process.
When: April 1st, 10:00am-12:00pm Where: Loews Hotel, Philadelphia.
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.
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.
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.
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 attendees that joined us for asking such thoughtful questions.
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 in a variety of initiatives around data citation infrastructure and best practices; including Scholix, Crossref and DataCite Event Data.
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.
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 for data usage metrics may look like. By September we were able to release an initial draft outline for community feedback.
