BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course

BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations. These are the materials of the introductory module covering the basic concepts of Data Stewardship followed by two assignments and end with a hands-on course for knowledge consolidation.

After this program, trainees will be able to make significant contribution in:

  • Writing data management plans in support to grant applications

  • Ensuring continuity and sharing of data over projects

  • Ensuring data quality

  • Supporting the elaboration of institutional data management guidelines

  • Supporting compliance with institution data management policy

  • Contributing to knowledge exchange with regard to data management

Scientific topics: Data management, Open science, FAIR data

Keywords: Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle

Resource type: Training materials

Target audience: Researchers

Difficulty level: Beginner

Licence: Creative Commons Attribution Share-Alike 4.0

Authors: Ana M. P. Melo, Filipa Pereira, Pedro Príncipe, Celia W.G. van Gelder, Mijke Jetten, Daniel Faria

Doi: 10.5281/zenodo.6599750

BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course https://tess.elixir-europe.org/materials/biodata-pt-elixir-pt-training-data-stewards-for-life-sciences-intro-course BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations. Data management Open science FAIR data Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle Researchers