There are needs and requirements for preserving and publishing research and environmental data as open data for increased reuse and transparency. A pre-study is being conducted to look into needs, requirements and solutions for the coordinated archiving and publishing of research and environmental monitoring and assessment (EMA) data at SLU.
As a university SLU is responsible for keeping research data available for the research community and the public, today as well as in the future, as part of the SLU archive of public records. In addition, SLU is commissioned by the Swedish government to continuously provide authorities, industries and international organisations with information about the condition of our environment.
A pre-study, “Nystart Tilda”, has been initiated as a result of the review of the Tilda project. It is led by Knowit consultancy and planned to be concluded this autumn (2019). The project team consists of representatives for the SLU University Library, the Unit for Data Management Guidance and Development, Documentation and Legal Affairs (all members of the Data Curation Unit) and IT. The steering group includes the Heads of the Vice-Chancellor’s Office, the University Library and the IT Department as well as the Pro Vice-Chancellor for Environmental Monitoring and Assessment. The Head of the University Administration is the project owner.
Why is SLU doing this?
Implementing coordinated solutions for archiving and publishing research and EMA data will facilitate:
- the increased reuse of research and EMA data from SLU
- fulfilling our responsibility as a government authority regarding management of public records and making sure data are available today and in the future
- meeting needs and requirements regarding open access to research data and supporting the transition to open science
- making SLU’s research and environmental monitoring and assessment more visible
- assisting researchers and data producers with
- infrastructure for data management from the start of the project, meeting archiving and publishing requirements
- support for managing data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable)
- registering metadata and data from research and environmental monitoring and assessment in one place
- spreading and exposing research results through e.g. citable datasets for crediting the researcher, connection between published articles and supporting datasets
Data management support