Open Data
Maximizing the value of research

Open data means sharing data and is made more meaningful by the term “FAIR” i.e. data that is findable, accessible, interoperable and reusable). Being more open with data means you can analyze other researcher’s findings and reuse it to inform new findings, and the research landscape becomes more efficient and accountable.

You will benefit from making your research data openly available too. More transparent data helps reviewers see how researchers went from data to analysis and provide nuanced feedback based on their own understanding of the data. When researchers make their data open, they are showing the world they are working transparently and reproducibly, building a strong reputation that will help them throughout their professional life, encouraging reuse and citation.

  • Protect the long-term integrity of your research by making your data, methodologies and reporting standards openly available
  • Comply with funder requests to share data
  • Authors of articles published in Wiley journals are encouraged to share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials. Visit our Author Compliance Tool for the policy of your chosen journal
  • Visit or to help identify registered and certified data repositories relevant to your subject area
  • Help to ensure compliance with your funder and/or institution requirements with the Author Compliance Tool and Wiley's Funder Agreements
  • Our Data Sharing Service is available for select journals to automatically archive your data in a public repository