DASH UK

Contributions

This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.

The following list includes only slides and tutorials where the individual has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.

Tutorials

• Imaging / FAIR Bioimage Metadata 💵
• Imaging / REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data 💵
• FAIR Data, Workflows, and Research / Persistent Identifiers 💵
• FAIR Data, Workflows, and Research / Making clinical datasets FAIR 💵
• FAIR Data, Workflows, and Research / FAIR Bioimage Metadata 💵
• FAIR Data, Workflows, and Research / Sequence data submission to ENA 💵
• FAIR Data, Workflows, and Research / FAIR and its Origins 💵
• FAIR Data, Workflows, and Research / REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data 💵
• FAIR Data, Workflows, and Research / Data Registration 💵
• FAIR Data, Workflows, and Research / Metadata 💵
• FAIR Data, Workflows, and Research / Data management in Medicinal Chemistry 💵
• FAIR Data, Workflows, and Research / FAIR in a nutshell 💵
• FAIR Data, Workflows, and Research / FAIR data management solutions 💵
• FAIR Data, Workflows, and Research / Access 💵
• FAIR Data, Workflows, and Research / FAIRification of an RNAseq dataset 💵
• FAIR Data, Workflows, and Research / FAIR Galaxy Training Material 💵
• Computational chemistry / Data management in Medicinal Chemistry 💵
• Contributing to the Galaxy Training Material / FAIR Galaxy Training Material 💵

Learning Pathways

• FAIR Data Management 💵

News

New Learning Pathway for FAIR Data Management developed by ELIXIR-UK Data Stewardship Fellows and Experts

26 March 2024

Author(s)

Katarzyna Kamieniecka Khaled Jum'ah Krzysztof Poterlowicz

fair dmp data stewardship data management new learning pathway

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ELIXIR-UK’s Data Stewardship Fellowship is excited to announce a new learning pathway focused on FAIR Data Management! This program equips researchers and research support staff with the skills to effectively manage their research data.

Full Story

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