The Open Data Handbook 's definition describes the open data in the following statement:

"Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike."

Data Types & File Formats:

  • PDF
  • HTML
  • Plain text
  • ZIP
  • MS Powerpoint
  • MS Word 
  • Moving images: MPEG, AVI, Quicktime 
  • Still images: TIFF, JPEG, PNG, GIF, BMP

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To add your research data, you can use this link and you can access your open data here Manage Deposits .

 

Please see SU Open Science Policy .

The OpenAIRE 's describes the FAIR Principles below:

The FAIR principles describe how research outputs should be organised so they can be more easily accessed, understood, exchanged and reused. Major funding bodies, including the European Commission, promote FAIR data to maximise the integrity and impact of their research investment.

The Four Basics of FAIR:
  • 'Findable' i.e. discoverable with metadata, identifiable and locatable by means of a standard identification mechanism
  • 'Accessible' i.e. always available and obtainable; even if the data is restricted, the metadata is open
  • 'Interoperable' i.e. both syntactically parseable and semantically understandable, allowing data exchange and reuse between researchers, institutions, organisations or countries; and
  • 'Reusable' i.e. sufficiently described and shared with the least restrictive licences, allowing the widest reuse possible and the least cumbersome integration with other data sources.

Please see " FAIR Data Managementin in Horizon 2020 "

"DMPonline" helps you to create, review, and share data management plans that meet institutional and funder requirements.

Please see " Checklist for a Data Management Plan "

Why develop a data plan? 

  • There are many benefits to managing and sharing your data:
  • You can find and understand your data when you need to use it
  • There is continuity if project staff leave or new researchers join
  • You can avoid unnecessary duplication e.g. re-collecting or re-working data
  • The data underlying publications are maintained, allowing for validation of results
  • Data sharing leads to more collaboration and advances research
  • Your research is more visible and has greater impact
  • Other researchers can cite your data so you gain credit

All above information is provided by the Digital Curation Centre (DCC) .