As a public authority and university, SLU is responsible according to law to archive its research data. There are also needs and requirements to make research data available as open data. In order for SLU employees to be able to archive and publish data, SLU is developing a system support called Tilda which will help establish procedures both for electronic archiving and publication of research and EMA data.
Tilda is currently being developed and is not yet available. Contact DCU for information on project status.
What will Tilda include?
- A SLU-wide system support for electronic archiving and publication of research and EMA data.
- Uniform and clear data curation/data management.
- Manual metadata (data about data) registration in a web interface.
- Connection between metadata, publications and datasets.
- Web interface for searching and downloading data.
- Interface for communication between external systems and Tilda.
Tilda will include manual and, in the long-term, automatic metadata input and the possibility to connect metadata, the electronic archive’s published data sets and scientific publications from SLU’s publication database, SLUpub.
Why is SLU investing in this?
For the following reasons:
- To meet our responsibility as a public authority concerning the preservation of public documents.
- To meet funding body requirements for publishing data generated in a research project.
- To re-use publically funded data.
- To make both SLU’s research and EMA operations visible.
- To be useful to the researcher/data producer by offering:
- a complete infrastructure which can be referenced in applications;
- the possibility to register metadata as well as research and EMA data in the same place;
- data management support based on archiving and publication requirements at the beginning of a project;
- citable datasets that provide added value for the data producer;
- dissemination and exposure of SLU research findings;
- enablement and facilitation of the re-use of data.
Data management plans and DOI
When funding bodies require that generated project data be published, for example in a data management plan which may be included in a research application, the researcher will be able to state that project-generated data and metadata will be published in Tilda.
Data in Tilda can be cited directly because all published datasets are assigned a DOI (Digital Object Identifier). This means that researchers can use Tilda to publish supporting data for articles when the journal in question requests it (e.g. PLoSONE).