Data management terminologies: from challenges to community recommendations скачать в хорошем качестве

Data management terminologies: from challenges to community recommendations

Recorded: Thursday 16 October 2025 Title: Data management terminologies: from challenges to community recommendations Presenter: Sensitive Data Interest Group, Professionalising Data Stewardship IG (Romain David, Anne-Sophie Bage, Nektarios Liaskos, Paul Millar, Alison Specht, Pedro Correa) DESCRIPTION This session will present a collaborative paper in preparation, to be submitted as an RDA output at Plenary 25. The paper is based on the work initiated during Plenary 23, building on the challenges and insights shared by the community during that session. All interested participants were and are invited to contribute as co-authors. The session focuses on the standardisation of data management terminologies, with an emphasis on FAIR principles and the enhancement of data management quality. Ambiguous or overlapping terms—such as Data Steward vs. Data Custodian, Dissemination vs. Archiving, or Repository vs. Data Lake—often lead to confusion, inconsistent practices, and reduced interoperability. By aligning and clarifying terminology, we aim to improve the reliability, reproducibility, and usability of research data. The session will also address terminology governance and identify gaps in existing glossaries to support high-quality, sustainable data management across disciplines. AGENDA Chair: Romain David (facilitated via Radical Collaboration method) Opening & Context Content of the paper and objectives of the session — 15 min (Romain David) Round Table: Statements, Challenges & Solutions — 30 min (Each speaker presents briefly on their thematic area – approx. 5 min each) Anne-Sophie Bage: Terminologies for Data Management Plans Romain David: Terminologies for Competence Centres Paul Millar: Terminologies for Data Services Nektarios Liaskos: Terminologies for Virtual Research Environments (VREs) Alison Specht: Terminologies for Data and Multilingual Challenges Pedro Correa: Terminologies for Data in Machine Learning Open Discussion — 30 min Strategies for harmonised terminology across data management tools supporting FAIR principles Governance models for maintaining consistency and usability The role of standardised terminologies in enhancing data quality, cataloguing services, and skills development Prioritisation of Recommendations (Interactive via Slido) — 10 min Wrap-Up & Next Steps for the paper https://www.rd-alliance.org/groups/se... This is a recording from IDW 2025: https://internationaldataweek.org/idw... Keep up-to-date with the latest digital research news, events, resources, career opportunities and more - subscribe to the ARDC Connect newsletter - https://ardc.edu.au/news-and-events/s....