Webinar: Data Curation: Bring your own data

• Are you finishing your research project and need to archive your data?
• Would you like to publish or share your data?
• Do you need a data availability statement with your publication?
  

If your answer is Yes, or if you are just curious, you are very welcome to visit our workshop.

Programme

Introduction to Data Curation: and Archiving data for the long term

• What to archive: selection, cleaning, data, software, scripts
• How to prepare: preferred file formats, codebook, metadata, pseudonymisation
• Where to archive: network storage, rdms, external archives
• Who is responsible: for archiving, access after the project, access after you left the UG

Publishing data as Open as possible, as Closed as necessary

• How to choose a suitable repository
• Selections to publish, demands from publishers and funders, demands by the GDPR to protect sensitive data
• Open, restricted, closed
• How to make your data FAIR: file formats, codebook, metadata, persistent identifier
• Demonstration of the workflow in DataverseNL
• Licenses for re-use, restrictions on access