https://doi.org/10.60804/fkfy-1162 Make Data Count is a community hub for the development of metrics that can help us understand how data is used in research and policy activities. Several Make Data Count community members have given us their insights on the Data Citation Corpus, our project to build a central open aggregate of data citations.
DOI 10.60804/1516-e177 Blog post by Ian Mathews, CEO at Redivis, Zach Chandler, Director of Open Scholarship Strategy at Stanford University, Erin DeLaney, Head of Design at Redivis Analyze data citations for any repository by forking this analytical workflow on Redivis! At Redivis, we believe that data-driven research should be accessible, reproducible, and as open as
https://doi.org/10.60804/DBT4-CZ71 Make Data Count is a community hub for the development of metrics that can help us understand how data is used in research and policy activities. We reached out to Make Data Count community members for their views on data metrics and data evaluation. In this post, we share their perspectives on why understanding the use and reach of open data is important, and on their interest in Make Data Count.
The COUNTER Code of Practice for Research Data provided a key milestone in data evaluation practices by making it possible to report comparable usage counts across platforms. Over the last months, Make Data Count and COUNTER have collaborated to explore what a suitable direction would be for an update to the Code of Practice for Research Data, and we are now sharing our proposal to merge the Code of Practice for Research Data with COUNTER R5.1 for public consultation.
Kicking off the year, we had the pleasure of announcing the first release of the Data Citation Corpus. In response to the multiple expressions of interest in learning more about the project and in using the data file for the corpus, we held a webinar dedicated to the Data Citation Corpus.
By: John Chodacki, Martin Fenner, Daniella Lowenberg 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 &
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.
Journal articles are the currency of scholarly research. As a result, we as a community, use sophisticated methods to gauge the impact of research and measure the attention it receives by analyzing article citations, article page views and downloads, and social media metrics. While imprecise, these metrics offer us a way to identify relationships and better understand relative impact.
Making Data Count (MDC) team members are at the center of many initiatives that focus on aspects of metrics, including DLM. We leverage existing channels to build a new data usage standard and to promote integration and adoption amongst data centers and data consumers. If you want to get in contact and start collaborating with us, please: Join our mailing list Follow us on Twitter Contact us directly!
