Digging deeper into data citations: recognizing and rewarding data work
#AntonNinkov #ChantalRipp #ConstancePoitras #DataCitation #DataSharing #EmmaRoblin #IsabellaPeters #KathleenGregory #ScientificCommunication #ScientificPractices #StefanieHaustein
We evaluate science mostly through papers. But researchers report that up to 75% of project effort is data work — collecting, cleaning, documenting, and preparing datasets. A reminder that research outputs ≠ research work.
New paper in Research Evaluation: https://doi.org/10.1093/reseval/rvag008
#ResponsibleMetrics #OpenScience #DataCitation #ResearchEvaluation
Most research evaluation still rewards papers, not the work that makes them possible. Yet researchers say up to 75% of a project can be data work: collecting, cleaning, curating, documenting.
https://doi.org/10.1093/reseval/rvag008
Maybe it's time to stop pretending that publications alone represent research.
#OpenScience #ResearchEvaluation #DataCitation #ResponsibleMetrics #Scientometrics
New paper in Research Evaluation explores how researchers actually cite data. Key insight: data citations are far more complex than simple indicators of data reuse.
https://doi.org/10.1093/reseval/rvag008
They reflect scientific practice, community norms, attribution, and even reputation-building. A timely reminder: metrics alone cannot capture the real value of data work.
#OpenScience #DataCitation #ResearchEvaluation #ResponsibleMetrics #Scientometrics
New research highlights barriers to proper dataset citation.
A study in the Data Science Journal finds that many commonly used reference managers do not adequately support data citation workflows, slowing recognition and reuse.
🔗 https://datascience.codata.org/articles/10.5334/dsj-2026-005
#OpenScience #DataCitation #FAIRdata #ResearchData #OpenResearch #Metadata
CESSDA's Monitoring Report 2024–2025 on Data Citation Practices highlights an increasing trend among its Service Providers to promote dataset citation. Repositories like DANS are now providing recommended citations on dataset pages, simplifying user referencing and boosting data visibility in scholarly work. As a CESSDA partner, DANS supports clear citation practices and shared its policy for the study. Read more: https://edu.nl/xyyee
Only 1 week to go!
Learn how the MONITOR service is expanding dataset indicators to track:
- Direct & indirect citations
- Dataset-publication links
- Enhanced FAIRness checks
Be part of the conversation on improving data visibility across the research landscape!
20 May 2025 @ 12:00 pm - 01:00 pm
Register: https://www.openaire.eu/eventdetail/1385/monitor-community-call
#ResearchData #OpenScience #FAIRdata #OpenAIREMonitor #DataCitation
Last talk is from Chris Mentzel
giving some insight and examples from what came out of the #MDCsummit #datacitation corpus hackathon earlier this week. Went well and there were 5 projects that came out of it.
It’s not production level code but the outputs of the MDC DCC hackathon are on GitHub here https://github.com/Make-Data-Count-Community/mdc-hackathon
Infodoc MicroVeille
Serhii Nazarovets
OpenAIRE
DANS
GigaScience Journal
GESIS
Make Data Count