Data policy

    Main points

Data policy is understood to mean the whole of procedures and guidelines within an institute or collaboration that was developed for data management, archiving and sharing research data. The goal of such policy is to guarantee the advantages of sharing data, while simultaneously guarding against the (possible) risks.

 

 

   Cases

Several stakeholders draw up their own policy regarding sharing research data. See the accordion for examples. Data archives also have their own policy in the shape of licensing agreements. This will be discussed in the following section. 

Journals

Examples of the data availability policies of a number of journals/publisher. 

Institutes

Examples of institutional policy:

Research funders

For examples of data policies of research funders, see the sections Data management planning en Scientific integrity.

   Sources

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  1. Nature. Availabity of data and materials. Retrieved from http://www.nature.com/authors/policies/availability.html
  2. AEA. The American Economic Review: Data Availability Policy. Retrieved from http://www.aeaweb.org/aer/data.php
  3. Open Economics. (2013). Research data management in economic journals. Retrieved from openeconomics.net/resources/data-policies-of-economic-journals/
  4. PLOS ONE Editorial Policies. Retrieved from http://www.plosone.org/static/editorial;jsessionid=31A08312122661A777AE236C92E5CC7E#sharing
  5. Melbourne University. (2013). Management of Research Data and Records Policy (MPF1242). Retrieved from http://policy.unimelb.edu.au/MPF1242
  6. KNMI. Data Policy for ECA&D and E-OBS. Retrieved from eca.knmi.nl/documents/ECAD_datapolicy_v5.pdf
  7. DCC, UK Institutional data policies. Retrieved from http://www.dcc.ac.uk/drupal/resources/policy-and-legal/institutional-data-policies

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