Europeana and the FAIR principles for research data | Europeana Pro
Introduction by OpenMethods editor (Gimena del Rio Riande): The FAIR Data Principles (Findable, Accesible, Interoperable, Reusable) aim to make clear the need to improve the infrastructure for reuse of scholarly data. The FAIR Data Principles emphasize the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals, key activities for Digital Humanities research. The post below summarizes how Europeana’s principles (Usable, Mutual, Reliable) align with the FAIR Data ones, enhancing the findability, accessibility, interoperability, and reuse of digitised cultural heritage.
Europeana Collections and its APIs make digitised cultural heritage from over 3,700 providers (galleries, libraries, museums and archives) available in all European languages. Europeana Research wants more people to make use of this material in academic research, especially in the humanities.
We are exploring possibilities to liaise with the EOSC, which also caters to research needs in the social sciences and humanities. In this context, how do Europeana services comply with the FAIR principles and how can we play a role in the wider adoption of these principles in the cultural heritage sector?
Source: Europeana and the FAIR principles for research data | Europeana Pro