3 materials found
Contributors: Pinar Alper
Data publishing and archival
Slides for the "Data publishing and archival" session of the "Research Data Management and Stewardship Training" held on 14 June 2021 by ELIXIR-Luxembourg.
Keywords: Data publishing, data archiving, Data preserving
Resource type: Presentation
Data publishing and archival
https://doi.org/10.5281/zenodo.5524793
http://tess.elixir-uk.org/materials/data-publishing-and-archival
Slides for the "Data publishing and archival" session of the "Research Data Management and Stewardship Training" held on 14 June 2021 by ELIXIR-Luxembourg.
Olga Krebs
Alexey Kolodkin
Pinar Alper
Roland Krause
Nene Barry
Vilem Ded
Data publishing, data archiving, Data preserving
Master students
data stewards
Researchers
PhD candidates
Practicalities of data handling
Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg.
Practicalities of data handling
https://doi.org/10.5281/zenodo.4068227
http://tess.elixir-uk.org/materials/practicalities-of-data-handling
Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg.
Vilem Ded
Pinar Alper
Roland Krause
Nene Barry
Data management
Data acquisition
Data security
data encryption, data protection, setup, checksums, Data transfer, Data storage, data organisation
Researchers
PhD
Master students
Reproducible analysis
Slides for the "Reproducible analysis" session of the "Best practices in research data management and stewardship" held regularly by ELIXIR-Luxembourg.
Reproducible analysis
https://doi.org/10.5281/zenodo.4071505
http://tess.elixir-uk.org/materials/reproducible-analysis
Slides for the "Reproducible analysis" session of the "Best practices in research data management and stewardship" held regularly by ELIXIR-Luxembourg.
Roland Krause
Pinar Alper
Vilem Ded
Data architecture, analysis and design
Workflows, Literate programming, Reproducible Science, Data analysis
PhD candidates
Researchers