When sharing your data you need to decide where to share it. The two most important public multidisciplinary data repositories (Zenodo and Figshare) are listed on the right. Both are free to use. Also listed (on the left) is a catalogue, re3data, with almost 3000 different data repositories. Researchers at RUC will be able to use RUC Dataverse in 2023 (see box to the right).
You also need to consider licensing your data. In many repositories you will have the option to choose from several license types. If you want to share your work and give more rights to your data than the traditional copyrights, you may consider Creative Commons licenses. Creative Commons licenses provide a simple, standardized way to give permission to others to share and use your research data on your conditions. Read more here.
A Digital Object Identifier (DOI) is used to uniquely identify academic, professional, and government information, such as journal articles, research reports and data sets. DOI's are widely used, resolvable, and remain fixed as opposed to URL's.
DOI's are based on a ISO standard and are backed by the International DOI foundation (IDF). Only members of the federation of registration agencies coordinated by IDF can issue DOI's.
Zenodo and Figshare as well as other repositories issue DOI's to research data sets.
DOI example: 10.5281/zenodo.820919
"Metadata is data that provides information about other data" (1).
Metadata is a common term for many different types of structured information used to describe, manage and retrieve for example research data. There are three types of metadata: Descriptive (bibliographic), administrative, including technical, as well as structural. Descriptive metadata is used for retrieval and identification of research data and describes the intellectual content, the intellectual origin and details regarding the data. Administrative metadata represent management information, date of change of research data, technical metadata and rights and license information. Structural metadata is used to indicate the internal structure of a dataset.
It is recommended to use a recognized standard for metadata, both in terms of content (content format) and structure (data format). It makes it easier to exchange data with other users and systems. The DataCite metadata schema is such a standard, and used by many research data repositories such as the two mentioned to the right (Zenodo and Figshare). Read more about this schema at datacite.org.
(1) "Metadata." Merriam-Webster.com. Merriam-Webster, n.d. Web. 2 Nov. 2018.
The Danish e-Infrastructure Consortium (DeiC) will offer all researchers at the Danish Universities the possibility to publish and archive their research data in 2023 in DeiC Dataverse. Each university will have a designated collection within the platform, in which they administer their own users and contents, e.g. RUC Dataverse. More info will follow soon.