End-to-End Data Management Toolkit for Norwegian Life Scientists
- 1. ELIXIR Norway, Centre for Digital Life Norway, Computational Biology Unit, University of Bergen
- 2. Centre for Digital Life Norway, Computational Biology Unit, University of Bergen
- 3. ELIXIR Norway, Computational Biology Unit, University of Bergen
- 4. ELIXIR Norway, University of Tromsø
- 5. ELIXIR Norway, Norwegian University of Science and Technology
- 6. ELIXIR Norway, University of Oslo, Oslo Universitetssykehus
- 7. ELIXIR Norway, Norwegian University of Life Sciences
- 8. ELIXIR Norway, Centre for Digital Life Norway, Computational Biology Unit, University of Bergen
Description
Major funding agencies require the successful planning and implementation of Data Management. In addition to obtaining funding, good Data Management also makes research more efficient, facilitates collaboration and saves time and resources.
ELIXIR Norway and the Centre for Digital Life Norway have established an End-to-End toolkit, covering the whole data life cycle from proposal to publication, providing practical, existing solutions, available to Norwegian Life Scientists to make their research FAIR (Findable, Accessible, Interoperable and Reusable).
We provide access to the Data Steward Wizard tool as one solution to identify data management needs, plan Data Management budgets and to produce a Data Management Plans (DMPs) according to the specifications by filling an interactive, well-documented questionnaire.
NeLS - the Norwegian e-Infrastructure for Life Sciences is a versatile and backuped storage solution for Life Science data. NeLS is directly integrated with Galaxy, an open, web-based platform for accessible, reproducible, and transparent computational biological research, without the need of programming skills. We have further developed a integration of NeLS with FAIRDOMHub/SEEK, a resource platform for managing data-sets and models in projects and sharing at publication.
ELIXIR maintains as variety of data deposition databases that are suited to host sensitive and non-sensitive data. Usage of this deposition repositories also maximises the visibility of published research.
Notes
Files
2020_01_23_NBS_DM_toolkit_poster.pdf
Files
(2.7 MB)
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