DOI 10.60804/ZGJX-0K93 Over the last couple of months we have talked with meta-researchers about their work on data, and their perspectives on steps needed to better understand how datasets are used and inform responsible metrics for data.

DOI 10.60804/82EM-7E16 Views from Kai Li, Assistant Professor, School of Information Sciences, University of Tennessee Please describe your previous research project(s) that related to data use, and the main findings from that research. I was trained as a scientometrics researcher.

DOI 10.60804/GAPH-5F57 Views from Mike Thelwall, Professor of Data Science Mike Thelwall, Professor of Data Science at the University of Sheffield, UK, has developed free software and methods for social media sentiment analysis and for systematically gathering and analyzing web and social web data.

DOI 10.60804/ZFGH-FP13 Perspectives from Nicolas Robinson Garcia Nicolas Robinson Garcia works in bibliometrics and research evaluation. His current research focuses on research contributions and how those are distributed across teams and in different research fields – see this preprint for his latest research on contributions based on the CRediT taxonomy.

The third release of the Data Citation Corpus incorporates data citations from the Aligning Science Across Parkinson’s (ASAP) initiative and enhancements to organization information. DOI: 10.60804/ykf9-z968 We are pleased to share a new release for the Data Citation Corpus.

DOI: 10.60804/6msz-1759 Views from Peter Cerda, Data Curation Specialist Peter Cerda is a Data Curation Specialist for Workflows and Big Data with the library at the University of Michigan, Ann Arbor. He helps students and faculty deposit large, complex datasets into Deep Blue Data Repository;

DOI 10.60804/1nhk-qd72 We have many great activities planned for the coming year, collaborating with individuals and organizations that share our drive to advance responsible data metrics and data evaluation. Here is a preview of what we’ll be doing in 2025: 1. Work even more closely with institutions Universities play a key role in advancing open research practices, and many institutions

DOI: 10.60804/0sak-7g76 We are pleased to announce the launch of the ‘Implementing data evaluation in academia’ Working Group, a partnership between Make Data Count and HELIOS Open.

Blog post by Iratxe Puebla and Maria Alejandra Tejada Gómez. DOI: 10.60804/zb5q-qy55 The Make Data Count Summit last September brought together researchers, infrastructure providers and representatives across institutions, funding and policy areas to discuss data metrics and the responsible evaluation of data usage.

DOI:10.60804/AGQD-PF50 We are thrilled to share that Make Data Count has been selected by SCOSS as essential open infrastructure for participation in its next funding cycle.

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.