• Introduction to data management
• File organisation best-practices
  • Hands-on session
• Version control — introduction to git and GitHub
  • Hands-on session

• Notebooks - R notebook
  • Hands-on session
• Data publishing
• Collaborative environments
  • Hands-on session

• The practice of providing on-line access to scientific information that is free of charge to the end-user and that is re-usable.
  • Does not necessarily mean unrestricted access, e.g. for sensitive personal data
• Strong international movement towards Open Access (OA)
• European Commission recommended the member states to establish national guidelines for OA
  • Swedish Research Council (VR) submitted proposal to the government last year

    

    

    

• Democracy and transparency
  • Publicly funded research data should be accessible to all
  • Published results and conclusions should be possible to check by others
• Research
  • Enables others to combine data, address new questions, and develop new analytical methods
  • Reduce duplication and waste
• Innovation and utilization outside research
  • Public authorities, companies, and private persons outside research can make use of the data
• Citation
  • Citation of data will be a merit for the researcher that produced it

    

Slide stolen from Barend Mons

• Data Management planning
  • Data types
    • Sizes, were to store, etc
  • Metadata
    • Use standards!
      • But not always straight-forward…
      • (http://www.dcc.ac.uk/resources/metadata-standards/disciplinary/ecology)
• Data Management Plans
  • Will become a standard part of the research funding application process
  • What will be collected?, Organized?, Documented?, Stored and preserved?, Disseminated?, Policies?, Budget?