FAIR for Beginners

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Myth 4 | Answer | Print version

Myth 5 | Answer | Print version

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Myth 9 | Answer | Print version

• Create: Collect or generate new data from scratch, e.g. through measurements or surveys.
• Process/Analyze: Prepare, process and analyze research data, including activities like digitization, conversion and interpretation of data.
• Document: Add context to the data, including provenance and metadata.
• Recycle: Use previous output as input for new analysis or interpretation, also in collaborations.
• Publish/Disseminate: Make selected datasets available for other researchers or the general public.
• Archive: Deposit selected datasets in systems suitable for long-term preservation.
• Exploit: Perform research directly on previously published data.
• Discover & Re-use: Use previously published data for new research, e.g. from public databases and repositories.
• Release: Provide access to raw data for others to use.
• Preserve: Retain raw data on long-term storage.
• Discard: Destroy or delete any data – due to legal or contractual obligations, for example. This is not a FAIR process and is therefore not considered further.

Process/Analyze

Zenodo is a general-purpose open access research data repository, hosted by CERN (Switzerland) that provides a place for researchers to deposit datasets. Researchers in any subject area to are able to upload files up to 50 GB. It has an integration with GitHub to make code hosted in GitHub citable.

Support: zenodo.org/support

DataCite is a global non-profit organisation that provides persistent identifiers (DOIs) for research data. It is possible to assign DOIs to datasets and other research objects. This way DataCite supports researchers in their efforts to find, identify, and cite research data and other research objects.

Support: datacite@deic.dk 

Data repository for making language data shareable. Each data set gets a PID, and the metadata are searchable. CLARIN.dk is part of the European CLARIN ERIC community (see clarin.eu), which offers a number of services. Metadata information from the data sets will be harvested by the European service Virtual Language Observatory vlo.clarin.eu, and will be made availabe for researchers outside Denmark.

Support: info@clarin.dk

Statistics Denmark's open data are official statistics data, which are electronically available in a way that users can apply them directly in various applications. They can be accessed either via a user interface or via an API against the StatBank. Data can be freely used in the development of various services, including development of apps for smartphones. All statistics on Statistikbanken.dk and the website dst.dk can be used free of charge. Data are licensed under Creative Commons, CC-BY 4.0.

Support: dst@dst.dk

Rigsarkivet/The National Archives offer archival services for research data.  Data will be preserved according to appraisal standards. All research data disseminated by Rigsarkivet will have a persistent identifyer - DOI.

Support: mailbox@sa.dk

Search engine containing all research data handed in to Danish Data Archive and Rigsarkivet since 1973. Covers both surveydata, cohortes, registries etc. All data and metadata are processed and enriched with metadata according to domain-specific and international standards and contain controlled vocabularies, classifications and keywords. Data are available in several formats. Codebook information is open and available online.

Support: mailbox@sa.dk

Online tool with surveydata from Rigsarkivet, where it's possible to make online statistical analysis and download results.

Support: mailbox@sa.dk

LOAR is a general-purpose open access research data repository for Danish researchers. The service creates a DataCite DOI for each dataset and stores it for at least five years. All data in LOAR is considered Open Access and will either be placed under a basic distribution license or under a Creative Commons licence. LOAR also hosts open access data from the Danish Royal Library collections.

Support: datarepo@kb.dk

"VBN allow for registration (and possible upload) of datasets, including harvesting to the national and international portals, like forskningsdatabasen.dk and openaire.eu A dataset can utilize the binding features of VBN, to make a connection between a dataset and a publication, a project or the like. This is not mandatory, and a dataset can exist in VBN on its own."

Support: vbn@aub.aau.dk

DTU Data is the instituional data repository of DTU hosted by Figshare. DTU Data allows DTU’s researchers to publish datasets, with almost no restrictions on formats and file sizes. All published datasets are provided with metadata, a DOI and a usage licenses. Data/metadata published in DTU Data will by default be openly accessible. However, creators can restrict the access to their data, e.g. for peer-reviewers or collaborators. It has an integration with GitHub to make code hosted in GitHub citable.

Support: datamanagement@dtu.dk

GitLab is a tool for versioning, documenting and publishing code. It is available as a Hub for all students and researchers at DTU. It does not provide DOIs automatically. DTU deparments can deploy GitLab on their own servers contacting DTU's Research-IT (ait-fit-server-net-support@dtu.dk).

Support: gbar.dtu.dk/faq/94-gitlab

Data DOI is a service using KU's internally developed storage system (ERDA) and web-interface with metadata form. The service creates a DataCite DOI for the dataset and enables medium long term archiving of research data for reserachers at KU. The service is only accessible and described via KU's internal network. It is not suitable for Personal Data.

Support: support@erda.dk