Publication of research data
There are a variety of ways to publish research data for reuse, whether in a data repository, a data journal, your own website, or appended to a journal article. There is a growing expectation among research funding bodies and journals that data should be openly available in a data repository.
Shortcuts to the content
There are several repositories where you can deposit and share your research data. Which repository is most suitable will depend on what research funding bodies, publishers, or journals require and the type of research data you have to deposit. There are both general and discipline-specific repositories. If there is a recognised service specific to your field it is usually the best option.
Finding a repository
Re3data, the Registry of Research Data Repositories, lists online services for a range of disciplines. Science Europe’s criteria for choosing a repository are useful if there is no generally recognised discipline-specific repository for your field.
Persistent identifiers, documentation, and metadata
Any credible repository will assign your research data a persistent identifier such as a DOI (digital object identifier) and will require you to deposit data with documentation and metadata. Repositories have different metadata requirements – for example, different metadata standards – which should be kept in mind when starting a research project.
Examples of general or interdisciplinary repositories
The links below lead to the repositories own websites.
Lund University has its own service, DataGURU, for sharing environmental and climate data.
Contact the Library of Science for help
If you are unsure about which repository to choose, the Library of Science offers research support.
Email: fredrik [dot] larsson [at] science [dot] lu [dot] se
Phone: +46 73 86 73 981
Thomas Tengelin Nyström
Email: thomas [dot] tengelin_nystrom [at] science [dot] lu [dot] se
Phone: +46 72 08 49 804
Not all research data should be freely available. Sharing of data may be limited because it contains personal data, sensitive or classified information, or copyrighted material. Where research data is generated by participants from two or more higher education institutions, an agreement should be drawn up concerning limitations on sharing data.