Visibility of data shared through DORIS

When a dataset is described and shared using SND’s tool DORIS, it is assigned a persistent identifier in the form of a DOI (provided through DataCite). This makes it easier to cite and reference the dataset. It also means that the dataset’s metadata are automatically indexed, and therefore searchable and findable through various search services for research data.

Datasets described and shared via DORIS are published on Researchdata.se, where they are either available by direct download or shared with what is known as restricted access, depending on what choice was made when metadata were entered in DORIS.

Metadata from Researchdata.se are forwarded to Sweden’s national data portal, Sveriges dataportal. By publishing research data through DORIS, researchers help fulfil the legal obligation for information provision as defined in Chapter 2, Section 6 of the Swedish Open Data Act (SFS 2022:818, Lag (2022:818) om den offentliga sektorns tillgängliggörande av data). In turn, this means that the metadata also become visible in the EU-level portal, the European Data Portal.

Metadata are continuously harvested from DataCite by numerous international systems that index research data: 

• Google, which indexes all data with a DOI issued by DataCite and makes the metadata searchable through Google Dataset Search.
• Data Citation Index, via a collaboration between DataCite and Clarivate.
• Dimensions, a database that indexes DataCite metadata.
• OpenAIRE, which aggregates information on European research, indexes DataCite metadata through its tools OpenAIRE Explore and OpenAIRE Graph.
• re3data.org, a registry of research data repositories and related organizations, is included in DataCite’s services. 

Metadata are also delivered to a number of subject-specific research data portals: 

• CESSDA Data Catalogue, which indexes data from social science studies in over 20 European countries.
• ARIADNE Portal an archaeological research portal operated by the ARIADNE research infrastructure.
• CLARIN Virtual Language Observatory, which indexes all language resources described in DORIS.

Publishing research data through DORIS therefore creates many ways of finding information about research data and related publications, for both humans and automated information services. It also enhances the ability to produce overviews of research output, such as summaries and overviews used for evaluating research groups or institutions. 

You can also describe datasets in DORIS even if the data have already been shared or published through another service, such as an external database or website. In such cases, the dataset must already have a persistent identifier that can be used to link to it from the data description in DORIS. Note that data already published externally will not be assigned a new DOI via DORIS and DataCite, and will subsequently not be findable with the organizations described above.