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Scientific topics: Data submission, annotation, and curation
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Workshops and courses
Implementation of Data Management Plans & Data Stewardship in practice
11 September 2018 @ 17:30 - 19:00
Athens, Greece
Face-to-face
Data curation and archival Data management data management data stewardship eLearning EeLP -
Workshops and courses
Workshop on Research Objects (RO2018)
29 October 2018 @ 09:00 - 17:00
Amsterdam, Netherlands
Face-to-face
Computer science Data management Data architecture, analysis and design Data integration and warehousing Data identity and mapping Data curation and archival Informatics Ontology and terminology Software engineering Workflows digital archives data repository linked data -
Workshops and courses
The PRIDE database: storing, disseminating and integrating proteomics data in the public domain
28 October 2020
Online
Proteomics experiment Data curation and archival Proteins -
Workshops and courses
Data Management Planning workshop for Life Science Projects - Trondheim
30 November - 1 December 2020
Online
Data curation and archival Data security Data management Data handling Data deposition DMP Data management plan data management -
Workshops and courses
Data Management Planning workshop for Life Science Projects - Oslo
10 - 11 December 2020
Online
Data curation and archival Data security Data management Data deposition Data handling DMP Data management plan -
Workshops and courses
"Ready for BioData Management?" Data Stewardship program for the life sciences
21 February - 31 October 2022
Oeiras, Portugal
Face-to-face
Data management Bioinformatics Data curation and archival FAIR data data management Data management plan data stewardship data annotation life sciences training -
Workshops and courses
Data Management Planning workshop for Life Science Projects (4-5 April 2022)
4 - 5 April 2022
Online
Data management Data curation and archival Data handling Data deposition DMP Data managment plan RDM NeLS TSD sensitive data data protection Compliance Identifiers dat alife cycle - reuse data life cycle - collect data life cycle - process data life cycle - analyse data life cycle - share data life cycle - preserve storage data life cycle - plan data publication metadata Data storage
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