DOI: 10.60804/9qxx-bh58 Didier Torny is a Senior Researcher at CNRS, and the project lead for Matilda, a bibliographic platform built specifically for open science. We spoke with Didier about the project, and their plans to incorporate links to datasets for the articles they index in Matilda. The motivation for Matilda...

DOI: 10.60804/8v2k-cm37   The Open Science Monitoring Initiative promotes the open science monitoring principles and adoption of practices to understand the progress of open science. Make Data Count is an active participant in OSMI, through its Working Group focused on open science monitoring with scholarly content providers. We had a...

DOI 10.60804/80tg-6d89 With Elisabeth Shook  The Data Citation Corpus aggregates data citations from multiple sources, and one of our areas of interest is to expand its disciplinary coverage. Through a collaboration between Make Data Count and ICPSR (the Inter-university Consortium for Political and Social Research), citations for social science datasets...

DOI: 10.60804/hcfm-jx07 The majority of research activities involve creating, collecting, or using data. While datasets constitute the backbone of research activities, they are currently sidelined as part of research evaluation frameworks which predominantly focus on article publications.

DOI: 10.60804/drrx-4m69 The fourth release of the Data Citation Corpus incorporates data citations from Europe PMC and additions to affiliation metadata. Our latest release for the Data Citation Corpus is just out, including 5.2 million new data citations from Europe PMC, and additions to the affiliation metadata for some of the citation records.

Post by Make Data Count advisors Daniella Lowenberg and Jennifer Lin DOI: 10.60804/asfb-f691 We are thrilled to announce the launch of our Kaggle competition “Make Data Count – Finding Data References”. Make Data Count (MDC) maintains an open corpus of data citations and this competition seeks state of the art AI advancements (including large language models (LLMs)) to identify mentions of data in papers AND contextualize the

DOI: 10.60804/KKE3-6Q77 Marta Teperek is the Programme Leader for FAIR Data at Open Science NL. She is a researcher by training and obtained her PhD in epigenetics and developmental biology from the University of Cambridge.   Hans de Jonge is the Director of Open Science NL. He has worked at NWO since 2018. As a programme leader, he was responsible for various aspects of NWO’s open science policy.

Reese Richardson (Engineering Sciences and Applied Mathematics, Northwestern University), Iratxe Puebla (Make Data Count), Jason Portenoy (DataCite), Karen Gutzman (Galter Health Sciences Library, Northwestern University Feinberg School of Medicine) and Kristi Holmes (Galter Health Sciences Library and Northwestern University Clinical and Translational Sciences Institute, Northwestern University Feinberg School of Medicine) DOI:

DOI: 10.60804/yxna-f837 Libraries play an important role in driving adoption of open data, and they have an increasing focus on understanding dataset usage and impact. This information is key in order for institutions to gain information about the diverse research outputs contributed by their researchers, and to inform institutional strategy around research data management.

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.