Data Stewardship Wizard (DSW)
Guided Data Management Plan creation aligned with FAIR principles for life science research.
Solution by ELIXIR Norway
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Overview
Data Stewardship Wizard (DSW) is an international project led by ELIXIR-CZ and ELIXIR-NL that helps researchers and data stewards create Data Management Plans (DMPs) aligned with FAIR principles (Findable, Accessible, Interoperable, Reusable). ELIXIR Norway operates a dedicated instance of DSW tailored for life scientists in Norway, providing localised guidance and knowledge models suited to Norwegian research contexts.
Key Features
- Guided DMP creation — step-by-step questionnaires that translate research context into complete data management plans
- FAIR by design — built around FAIR principles from the ground up, ensuring plans address findability, accessibility, interoperability, and reusability
- Norwegian instance — a dedicated deployment at norway.dsw.elixir-europe.org with tailored guidance for Norwegian life science researchers
- Collaborative editing — multiple team members can contribute to the same DMP simultaneously
- Export flexibility — DMPs can be generated in multiple formats to meet funder requirements and institutional policies
- Knowledge models — curated question sets covering domain-specific data management concerns, selectable based on research domain
Getting Started
- Access the Norwegian DSW instance at norway.dsw.elixir-europe.org
- Log in to the platform
- Select a knowledge model relevant to your research domain
- Follow the guided questionnaire to build your DMP
DSW is operated in Norway as part of the ELIXIR infrastructure, providing life scientists with a locally adapted tool for meeting data management and open science requirements.
Meta
Domain
Clinical & Health Data ManagementSubdomain
Health Data Harmonisation & GovernanceSoftware type(s)
Record-Keeping System
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
BiotechAcademic / Research
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Research ScientistBioinformatician / Computational ScientistIT / Systems Admin / Data Engineer
Tag(s)
Open source