Daniella Lowenberg, Rachael Lammey, Matthew B. Jones, John Chodacki, Martin Fenner DOI: 10.5281/zenodo.4701079 In the last decade, attitudes towards open data publishing have continued to shift, including a rising interest in data citation as well as incorporating open data in research assessment (see Parsons et al. for an overview). This growing emphasis on data citation … Continue reading Data Citation: Let’s Choose Adoption Over Perfection
Igniting Change: Our Next Steps Towards Open Data Metrics
Since 2014, the Make Data Count (MDC) initiative has focused on building the social and technical infrastructure for the development of research data metrics. With funding from the National Science Foundation, Gordon and Betty Moore Foundation, and Alfred P. Sloan Foundation, the initiative has transformed from a research project with an aim to understand what … Continue reading Igniting Change: Our Next Steps Towards Open Data Metrics
Open Data Metrics: Lighting the Fire
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. While busy driving adoption of these frameworks and services, we have yet to discuss where we’re at in terms of high-level challenges and where we believe we need to … Continue reading Open Data Metrics: Lighting the Fire
Save The Date: MDC Spring Webinar
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 … Continue reading Save The Date: MDC Spring Webinar
Repository Implementation Webinar: March 26, 2019
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. … Continue reading Repository Implementation Webinar: March 26, 2019
Save the Date: Make Data Count Pre-RDA13 Workshop
When: April 1st, 10:00am-12:00pm Where: Loews Hotel, Philadelphia. Room: Congress C Why: As we begin to wrap up our two-year grant, it is essential that we bring in the community to learn about our data metrics infrastructure and understand community feedback on adoption. In this workshop, we’ll be demonstrating how repositories and publishers can contribute data … Continue reading Save the Date: Make Data Count Pre-RDA13 Workshop
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
Make Data Count Summer 2018 Update
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
