Repositories and Data Journals

Repositories

Repositories are platforms for depositing and sharing data, and thereby obviously also a source to find data for potential re-use. They ensure long-term availability of data and generally provide persistent identifiers (mainly DOI) for data citation.

Repositories can be distinguished in general (accepting a wide range of data from any scientist), institutional (also often content covering a wide range of scientific fields but data upload limited to a certain institution) or discipline-specific.

Screenshot of the Starting Page of the Open Research Data Repository Edmond

Discipline-specific repositories are recommended, as they provide more opportunities (but also obligations) to document data according to the needs and standards of a scientific field. Data are also more likely to be discovered by other scientists working in the same or closely related fields. re3data.org is particularly recommended for the search. Of course, there are other overview sites that are also suitable for finding a suitable repository.

As an institutional repository for the Max Planck Society, for example, the service Edmond service can be used by als Max Planck researcher.

Two general repositories, which have a wide distribution, are Zenodo and Dryad.

Collections of Repositories

The number of data repositories keeps increasing. re3data.org currently lists more than 2000 repositories. This compilation can be browsed by subject, content type, or country, and further searched by e.g. type of data access (open, restricted, embargoed, closed) or metadata standards (generic e.g. Dublin Core and/or discipline-specific).

Examples of Repository Collections

Collection InstitutionLink
re3datahttps://www.re3data.org/
Deutsche Forschungsgemeinschafthttps://www.dfg.de/en/research_funding/proposal_review_decision/applicants/research_data/index.html
OpenDOARhttps://v2.sherpa.ac.uk/opendoar/
PeerJhttps://peerj.com/about/policies-and-procedures/#data-materials-sharing
PLoS ONEhttps://journals.plos.org/plosone/s/recommended-repositories
Scientific Data by Springer Naturehttps://www.nature.com/sdata/policies/repositories
If you know other overviews of data repositories and would like to see them entered here, please do not hesitate to contact us.

Data Journal

Data Journals are a relatively recent option for describing and documenting data, with such outputs being peer-reviewed and receiving a status comparable to conventional scientific manuscripts. The research context will be provided without a detailed interpretation of the underlying data. The data themselves are generally deposited in a repository and linked from the data paper. Some data journals also accept articles describing data services or best practices in data sharing.

A collection of Journal Data Policies is keeped updated by the Harvard University.

Collections of Data Journals

Collection InstitutionLink
Australian National Data Servicehttps://www.ands.org.au/working-with-data/publishing-and-reusing-data/data-journals
Directory of Open Access Journalshttps://doaj.org
Forschungsdaten.orghttps://www.forschungsdaten.org/index.php/Data_Journals
FOSTER Consortiumhttps://www.fosteropenscience.eu/taxonomy/term/114
Humboldt-University Berlinhttps://www.cms.hu-berlin.de/de/dl/dataman/teilen/dokumentation/datajournal/datajournal
MIT Libraryhttps://libraries.mit.edu/data-management/share/journal-requirements/
University of Edinburghhttps://www.wiki.ed.ac.uk/display/datashare/Sources+of+dataset+peer+review
University of Pittsburghhttps://pitt.libguides.com/findingdata/datajournals
If you know of other overviews of data journals and would like to see them entered here, please do not hesitate to contact us.

Further Readings

Buddenbohm S., de Jong M., Minel J.-L., Moranville Y. (2020): Find Research Data Repositories for the Humanities – The Data Deposit Recommendation Service, hal-03020703v2.

Candela, L., Castelli, D., Manghi, P., & Tani, A. (2015): Data journals – A survey: Data Journals: A Survey. Journal of the Association for Information Science and Technology, 66(9), 1747–1762. doi:10.1002/asi.23358.

Milzow, K., von Arx, M., Sommer, C., Cahenzli, J., & Perini, L. (2020). Open Research Data: SNSF monitoring report 2017-2018, doi:10.5281/zenodo.3618123.

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