Library starts implementation of central system for research data management
As of late 2016, the Library will provide a central RDM service for UvA/HvA researchers to store, share and publish data securely. This summer sees the start of the implementation of the RDM system according to the wishes and demands of UvA/HvA.
Choice for Figshare
After a tender, the English supplier Figshare was chosen. This firm already works for various universities worldwide. In order to agree closely with research practice, UvA/HvA researchers were involved in the selection via a sounding board group and user-friendliness testing.
This summer we begin implementing Figshare for Institutions for the use of UvA and HvA researchers, according to the requirements and preferences as formulated by the RDM project team. The Library does so in cooperation with ICT Services and in close consultation with representatives of UvA and HvA faculties.
Meeting increasingly strict RDM demands
With this service the Library will provide a user-friendly basic facility which makes it easy for researchers to follow the UvA/HvA guidelines for research data management. The service will also make it easier to satisfy the increasingly strict demands of publishers and funders, such as the EU and NWO.
Researchers can store their data securely in the system and control sharing. It is, moreover, possible to publish data, both during and after the research, with a persistent identifier (unique code), as well as archive them.
Maria Heijne, director UvA/HvA Library:
“As a Library, together with ICT Services and Academic Affairs, we support our researchers in managing, sharing and (re)using their research data. We give advice and training on handling data management, but also provide practical support in the actual work. By choosing Figshare, the Library offers researchers an environment in which they can manage and share their data in a way which agrees optimally with their way of working.”
System connections for efficiency
In 2017 the system will also be connected to PURE – the successor of Metis -, so that besides books and articles, datasets can also be registered as research output. And we are working on connections with much used software for research environments, so that data will have to be entered only once.