Enhancing Research Quality and Transparency through Data Management Plans
Discover insights on the importance of exposing Data Management Plans from a publisher's perspective. Explore the impact of retractions on research credibility and the need for reproducibility in the scientific community. Learn about strategies to improve research quality, transparency, and reproducibility through Data Management Plan exposure.
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Exposing Data Management Plans Publisher s perspective Elena Zudilova-Seinstra, Elsevier RDM Solutions Email: e.zudilova-seinstra@elsevier.com 11thRDA Plenary Meeting Berlin, 22 March 2018
According to Retraction Watch, more than 1,000 articles retracted in 2017 alone. This is a 50% increase in retractions compared to 2016. https://retractionwatch.com
The research community and the public need to trust published results Opportunities to improve reproducibility: the life sciences example Freedman LP, Venugopalan G and Wisman R. Reproducibility2020: Progress and priorities [version 1]. F1000Research 2017, 6:604 (doi: 10.12688/f1000research.11334.1)
Increased research quality, transparency & reducibility through the DMP Exposure PI review RDM/domain expert review DMP Exposure Freedman LP, Venugopalan G and Wisman R. Reproducibility2020: Progress and priorities [version 1]. F1000Research 2017, 6:604 (doi: 10.12688/f1000research.11334.1)
Examples https://riojournal.com/ 14 published DMPs (last accessed on 15 March 2018) https://dmptool.org/public_plans 177 shared DMPs (last accessed on 20 March 2018)
Some initial thoughts Co-authored by all research team members and preferably also by a data librarian and/or a data repository representative Easy to prepare and submit, e.g.: interactive standardized (!) templates, recommendation engine, etc. Reviewed/checked by RDM and/or domain experts to ensure compliance with the state of the art data sharing practices Accessible - published in a OA journal, open repository or funder catalogue Citable (assigned a DOI) and regularly updated (versioning) May be under embargo until the official start of the project Linked with research literature (e.g.: links can be deposited to Scholix) Machine-readable to allow search and automatic data tracking
