Course materials, Training materials
"Ready for BioData Management?" Training Data Stewards for Life Sciences
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. It will unfold from February to November 2022, allowing trainees to get some practice and consolidate the acquired knowledge. It will comprise an 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
Although this program was tailored to the needs of Portuguese R&I organizations, applications from other countries are very welcome.
Training materials can be consulted in this folder, videos of different modules are available @BioData.pt Youtube Channel
Training Materials in Zenodo:
Intro Course
DS Lab 1
DS Lab 2
Consolidation Course
DOI: 10.5281/zenodo.7492723
Contact: info@biodata.pt
Keywords: Data Steward, Data management, research data management, FAIR, FAIR Research, Training (Training), Open science, Open data, RDM
Target audience: Life Science Researchers, This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia., The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields.
Resource type: Course materials, Training materials
Version: 1
Status: Active
Learning objectives:
- 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
Date created: 2022-12-29
Date modified: 2022-12-29
Date published: 2022-12-29
Scientific topics: Data management
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