Daniella Lowenberg, Rachael Lammey, Matthew B. Jones, John Chodacki, Martin Fenner DOI: 10.5281/zenodo.4701079

By: John Chodacki, Martin Fenner, Daniella Lowenberg https://doi.org/10.60804/NQ0Y-8T21 Today, Zenodo announced their intentions to remove the altmetrics.com badges from their landing pages–and we couldn’t be more energized by their commitment to open infrastructure, supporting their mission to make scientific information open and free. “We strongly believe that metadata about records including citation data &

https://doi.org/10.60804/R47Y-WQ12 Since 2014, the Make Data Count (MDC) initiative has focused on building the social and technical infrastructure for the development of research data metrics.

https://doi.org/10.60804/694N-YD75 The Make Data Count team has been working on various infrastructure and outreach projects focused on how to measure the reach and impact of research data.

https://doi.org/10.60804/CQWN-8V24 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.

https://doi.org/10.60804/YC0V-QF31 *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.

https://doi.org/10.60804/TPAK-S352 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.

https://doi.org/10.60804/3HWB-S535 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.

https://doi.org/10.60804/X35C-CS33 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.

https://doi.org/10.60804/FH8J-T722 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.

https://doi.org/10.60804/N5R2-P643 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.