Presentation

Create and Handle a Data Management Plan

This is the training material used for a workshop at the 2023 edition of the Oslo Bioinformatics Workshop week

This workshop aims to provide a hands-on session on creating a data management plan (DMP) using the Data Stewardship Wizard (DSW), a dynamic web forms system provided by ELIXIR Europe. The Norwegian node of ELIXIR is curating a national instance of DSW (https://elixir-no.ds-wizard.org) and provides a DMP form customised for life scientists in Norway. The audience will learn about the information that needs to be captured into a DMP and how to use DSW for this purpose. We will demonstrate how to create a DMP, starting either from scratch or from a set of recommendations based on specific scientific domains including, among others, sequencing, light microscopy and high-throughput screening. A demonstration of how to work collaboratively on DMPs and how to export them to a document compliant with national and international funding bodies' requirements will also be given. In the second part of the workshop, the participants will work, individually or as groups, on a DMP for projects they are involved in or for projects of interest.

DOI: 10.5281/zenodo.10619103

Licence: Creative Commons Attribution 4.0 International

Contact: [email protected]

Target audience: Life Scientists

Resource type: Presentation

Version: v1

Status: Active

Prerequisites:

None

Learning objectives:

After this workshop, learners will:

  • Understand the relevant information to be captured in a DMP Start a new DMP on DSW, from scratch or from a set of pre-filled recommendations
  • Share a DMP and work collaboratively on it Assess good practices in research data management and FAIRness
  • Export a DMP according to formal requirements from funding bodies such as the Research Council of Norway, Science Europe, and Horizon Europe

Date created: 2023-12-13

Date published: 2023-12-13

Authors: Federico Bianchini, Nazeefa Fatima

Scientific topics: Data management, Data governance

Operations: Data handling, Data deposition


Activity log