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RDMkit

Structured guidance for research data management across the entire lifecycle, with domain-specific advice for life sciences.

Solution by ELIXIR Norway
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Overview

RDMkit is a community-driven resource for research data management (RDM), initiated by ELIXIR Converge with involvement from ELIXIR Norway. It provides practical, structured guidance covering the entire research data lifecycle — from planning and collecting data through to sharing and preservation.

The resource is designed for researchers, data stewards, principal investigators, and support staff who need actionable, concrete advice on managing research data rather than abstract policy documentation.

Key Features

  • Lifecycle guidance — step-by-step recommendations for each stage of the research data lifecycle
  • Domain-specific pages — tailored advice for life sciences sub-domains including genomics, proteomics, and structural biology
  • Role-based navigation — content organised by user role, covering researchers, data stewards, and principal investigators
  • Tool assemblies — practical examples showing how to combine tools and services to address common data management challenges
  • FAIR principles — guidance aligned with making data Findable, Accessible, Interoperable, and Reusable
  • National resources — country-specific pages covering local regulations, infrastructure, and support contacts

Getting Started

  1. Visit RDMkit to browse the resource
  2. Navigate by lifecycle stage, user role, or research domain to find relevant guidance
  3. Use the tool assembly pages for practical workflows that combine multiple services
  4. Contribute improvements or domain-specific content via the GitHub repository

RDMkit is linked to ELIXIR Converge and reflects input from the broader ELIXIR community. Its open, contributory model allows researchers and data professionals to submit additions or corrections through GitHub, supporting ongoing development of the resource.

Meta

Domain
Genomics & Omics Analysis
Subdomain
Genomics Data Infrastructure & Collaboration
Software type(s)
Database / Knowledge Base
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechAcademic / Research
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Lab Manager / Core Facility ManagerResearch ScientistBioinformatician / Computational ScientistIT / Systems Admin / Data Engineer
Tag(s)
Open source