Publish research data
Considerations before sharing data
You gain some advantages by sharing your research data. There are some legal and ethical aspects to consider before making your data publicly available.
“…science moves faster in an open world” / Steven Salzberg, Director of the center for Computational Biology, Johns Hopkins University
Sharing makes it possible to reuse research data in other research projects, and it enables others to confirm findings and makes the research process more transparent.
It can create further opportunities for recognition and acknowledgements, e.g. citations and registered downloads.
It can lead to new possibilities for cooperation between research groups, nationally and internationally.
Openly accessible data is saved on secure servers and therefore functions as a backup in case your own storage becomes inaccessible.
Good metadata makes it possible to find and reuse the data. The FAIR principles says that data should be FAIR (Findable, Accessible, Interoperable and Reusable).
If you add persistent identifier to datasets, such as DOI, URI and ORCID, then you increase the chance for acknowledgements and citations to your dataset. If you set appropriate license restrictions such as Creative Commons, MIT etc. then you allow for re-use of your data.
There are a large number of data repositories and platforms for sharing data. Here we list some of them. You find other repositories via Re3data.org , where you can browse via country, subject field, etc.
SND :The Swedish National Data Service is a Swedish initiative to research infrastructure by a consortium of Swedish higher educational institutions. SND aims to support the accessibility, preservation, and re-use of data and related materials.
Zenodo : Zenodo is a repository created by CERN and OpenAIRE. In Zenodo you can store up to 50 GB and the repository is integrated with Github. Connecting a repository in Github with Zenodo links the code repository to a DOI, making it easier to cite the code.