Context
Research data management (RDM) guidance forms the backbone of responsible data practice. When such guidance is clear, accessible, and well-maintained, it enables researchers to act autonomously, comply with funder and institutional requirements, and engage with FAIR and open science in a meaningful way. However, in many institutions, RDM information remains fragmented, hard to find, or inconsistently maintained, making even the most motivated researchers dependent on personal contacts or ad hoc support.
The availability and visibility of guidance materials, such as data policies, DMP templates, file naming conventions, or metadata standards, serve as a key signal of institutional maturity. Good guidance is not just published; it is proactively communicated, clearly structured, and kept up to date. Without deliberate maintenance and promotion, outdated documents and buried intranet pages undermine trust and make it harder for staff to deliver consistent support.
This challenge is especially pronounced in federated or decentralised environments, such as ELIXIR Nodes or research institutions with distributed support teams. In these settings, alignment across levels is essential. National tools like RDMkit and FAIRsharing can provide a foundation, but local contextualisation and visibility remain critical. A template or checklist is only useful if researchers can find it, understand it, and trust that it is current.
Data stewards play a key role in ensuring that guidance is not just written, but usable. They help select appropriate communication channels, embed resources in onboarding or training materials, and keep track of evolving standards and requirements. Institutions that assign clear responsibilities for guidance maintenance, promote content through multiple entry points, and review materials regularly are more likely to build trust, reduce redundant support requests, and foster sustainable RDM practice.
Guidelines
The following tips support data stewards and their institutions in progressing along the maturity indicator for RDM information and guidelines. They are organised around four core areas: centralisation, visibility, maintenance, and communication, aligned with Node experiences and established support models.
Centralise RDM guidance
- Create a single access point Host all RDM guidance in one clearly structured platform (internal or public) covering the full research lifecycle, including policies, DMPs, metadata, consent, sharing, and storage.
- Structure by researcher workflow Organise content around research phases and user needs, not institutional structures.
- Integrate external resources Link to trusted materials (e.g. RDMkit, FAIRsharing, DSW) with local context for applicability.
- Offer reusable formats, for example:
- Downloadable and printable templates
- Standardised DMP and consent form examples
- Checklists and quick‑reference guides
Make RDM guidance visible and findable
- Link from strategic locations
Ensure guidance is accessible from:
- Library, ethics, IT, and research office portals
- Onboarding and training platforms
- Design for quick uptake Use plain language, short paragraphs, headings, bullet points, and visuals. Avoid institutional or policy jargon.
- Optimise for search Tag pages with relevant keywords (e.g. FAIR, consent, metadata, DMP) to improve both internal and external discoverability.
- Use physical-to-digital connections
Add QR codes to:
- Posters in research spaces
- Flyers and slide decks for events and training
Maintain content quality and currency
- Assign ownership Appoint at least two named maintainers for each section to ensure continuity and shared accountability.
- Show update history Timestamp pages and use version control to build trust in currency.
- Review regularly
Establish fixed review cycles (e.g. every 6–12 months) to:
- Check accuracy and coverage
- Update links and resources
- Align with policy changes
Update content in response to:
- New funder requirements
- Legal or institutional changes
Communicate and embed guidance
- Promote updates proactively
- Announce new or revised content via:
- Newsletters, mailing lists, and Slack
- Intranet news items or targeted emails
- Integrate into onboarding and training
Include references in:
- Welcome packs and orientation sessions
- PhD programmes and lab induction processes
- Encourage bookmarking and subscriptions Invite researchers to save the RDM page or subscribe to alerts during onboarding or training.
- Gather and act on feedback Collect input through forms, surveys, or training follow‑ups, and use it to refine guidance and fill content gaps.