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Research Data Management

Research Data Management Illustration
Research Data Management: making it possible to retreive data from last year. The Turing Way project illustration by Scriberia. Reused under a CC-BY 4.0 license. Original version on Zenodo. http://doi.org/10.5281/zenodo.3695300.

In accordance with the TAM Policy, researchers are asked to follow certain Research Data Management (RDM) standards and practices. Briefly, the TAM Policy states that every researcher

  • should follow a common folder structure called TONIC
  • use the BIDS standard for their measurement data
  • use version control throughout the development of their project
  • store their data in and collaborate via the TAM GitLabTM,
  • and publish their project and data in the TAM DataHub Repository

The TAM Policy is made to support you and your research through its whole Research Data Lifecycle:

Research Data Lifecycle
Research Data Lifecycle. The Turing Way project illustration by Scriberia. Reused under a CC-BY 4.0 license. Original version on Zenodo. http://doi.org/10.5281/zenodo.3695300.

Behind every RDM technique stands the FAIR principles. FAIR means that research and data should be

  • Findable: Annotating your research and data with proper Metadata goes a long way. This enables to search for specific keywords and find the respective research items.
  • Accessible: Data users must know how to access the data. This starts with simple metadata about hard- and software requirements and involves information about potential authentication and authorisation procedures.
  • Interoperable: Reuse of data and collaboration can only work if the data is provided in a way that it can be easily integrated with other data or easily operated with other applications.
  • Reusable: Again, sufficient metadata and requirements for using your data in different settings have to be given to make your data reusable.