FAIR Tools for Open Science: Sharing Experiences with DSpace-CRIS/GLAM and Dataverse/CKAN

Susanna Mornati - 4Science

Abstract:
Nowadays, in all disciplines, awareness is acquired that the data produced by the research activities must be FAIR (Findable, Accessible, Interoperable, Reusable). The Research Data Management solutions that come onto the market do not always comply with these requirements. Several open source platforms, adopted and maintained by large and active communities, have emerged to provide sustainable and durable infrastructures for Open Science. Different data types, formats, workflows, qualitative and quantitative aspects of data, require extensibility of the data model and availability of tools for analysis and interpretation. Depending on the characteristics of the data to be managed, on the type of institution, or on the needs of a research group, each platform can satisfy a different approach. Some are built exclusively for data management and analysis, such as Dataverse and CKAN, others, such as DSpace-CRIS and DSpace-GLAM, are focused on the contextualization of datasets, through links with other entities such as published results, project, authors. These tools are constantly evolving to follow the new needs that emerge from the research groups. In particular, these technologies are compatible with the behaviours recommended by the COAR WG on Next Generation Repositories, such as the adoption of persistent identifiers, the implementation of discovery functions, transfer of resources, identification, preservation, etc. Through these technologies it is also possible to adhere to the OpenAIRE Guidelines for Literature Repositories, for Data Archives, for CRIS Managers. The workshop aims to present the different contexts and concrete use cases through the experiences of universities in different countries, showing how the use of different tools is suitable for the situations, and how it is possible to integrate different solutions to achieve interoperable ecosystems for a FAIR science. Workshop participants will be invited to interact with speakers to explore new use cases together and share experiences.

This email address is being protected from spambots. You need JavaScript enabled to view it.