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Research Data Management

Reusing and citing data

Reusing and benefiting from existing datasets is a fundamental motive of data opening and sharing. Research data are valuable resources that often require a lot of time and money to create. It is thence worthwhile to consider reusing existing datasets that previous studies have generated and publicly archived. Yet reusing data is not only about saving time and resources. It also improves data repeatability and verifiability, and thus the reliability of scientific outputs.

At the same time, optimal use and reuse of archived data become possible only when the accessibility and reusability of research data have been ensured. Properly managed and openly published research data with appropriate licenses enable and facilitate shared use. FAIR data principles give guidance on how to make your data truly open and reusable. See also Data sharing and preservation about how to open and publish your data.

Services for searching datasets include:

Some new initiatives that aim to collect and mediate open data include:

  • Mendeley Data portal from Elsevier, announced in late 2018, imports data from different data depositories, journals and archives, and also allows registered users to archive their own data. 
  • Google Dataset Search (beta) utilises the Google search engine to identify datasets across the web and different existing data depositories. 

When reusing data, good practices for the attribution of authorship and data citation must be followed. See the citing instructions Citing archival data by the Finnish Social Science Data Archive.

More information, see How to reuse research data by OpenAIRE.