Workshop FAIR & Data stewardship for the 2020 ITN COSMIC

This material is part of an introductory data stewardship workshop for the Marie Curie ITN COSMIC project (Combatting Disorders of Adaptive Immunity with Systems MedICine)

FAIR and data stewardship - September 18th, 2020
Organiser: PO5 (Dutch Techcentre For Life Sciences, DTL)
Setup: Virtual meeting (corona-pandemic)
Duration: 1 day

Topics:

  • Introduction (the relevance of research data management, research data management and the data life cycle, open science, open access and open data, FAIR guiding principles, data stewardship)
  • Planning data (data management plans, informed consent procedures, funder and journal requirements, costing data management)
  • Collecting data (finding data (and the importance of FAIR data), capture data (importance of metadata, pre-registration), data security and privacy)
  • Processing and analysing data (tools for processing and analysing data, Infrastructure for storing and sharing data, organising data, versioning and documenting data, anonymisation, pseudonymisation and personal data)
  • Publishing, preserving data & reusing data (what data should be archived, archiving for scientific integrity, archiving for reuse, archiving non-digital data, FAIR data, data rights)

Scientific topics: Data management, FAIR data

Operations: Data handling, Analysis

Keywords: Data analysis, Data collection, Data management planning, Data preserving, Data processing, Data reuse, Data sharing

Resource type: Slidedeck

Target audience: PhD candidate

Difficulty level: Beginner

Licence: Creative Commons Attribution 4.0

Authors: Mijke Jetten, Celia van Gelder

DOI: https://doi.org/10.5281/zenodo.4686992

Workshop FAIR & Data stewardship for the 2020 ITN COSMIC https://tess.elixir-europe.org/materials/workshop-fair-data-stewardship-for-the-2020-itn-cosmic This material is part of an introductory data stewardship workshop for the Marie Curie ITN COSMIC project (Combatting Disorders of Adaptive Immunity with Systems MedICine). Data management FAIR data Data analysis, Data collection, Data management planning, Data preserving, Data processing, Data reuse, Data sharing PhD candidate