A plethora of data about cultural and/or natural heritage is nowadays available to both public and private institutions (e.g., universities, libraries, archives, museums, etc.). These data are highly heterogeneous in terms of both formats and contents. In addition, the way in which they are organized and characterized depends on the socio-cultural contexts of different working communities, their research methodologies, languages, and ways of thinking. As a consequence of this heterogeneity, it is hard to find connections across multiple datasets or to agree on data publishing policies and shared vocabularies to describe data in a common manner.

Researchers and stakeholders challenge this situation by relying on theories, methodologies, and technologies developed in areas such as Linguistics, Conceptual modeling, Data Science, Artificial Intelligence, Knowledge representation and reasoning. These research efforts are characterized by a strong interdisciplinary nature and their methods are nowadays largely exploited in Social Sciences and Humanities (including Digital Humanities).

The purpose of the conference is to bring together multiple research communities and stakeholders working with Open Science and FAIR principles in the context of heritage studies. As advocated by the European Commission, FAIR principles play a decisive role to define guidelines and valuable tools for managing data in robust ways. We are particularly interested in research questions addressing both methodological and application challenges emerging from data management practices (e.g., data modeling, sharing, integration, analysis, etc.). The conference will provide guidance and ensure the sustainability and implementation of the FAIR model in the context of the European Open Science Cloud. For this purpose to be achieved, the conference will host practical sessions where participants can familiarize with existing methods and tools, and can present their own applications.

This international conference is organised in the framework of the INTELLIGENCE DES PATRIMOINES ARD 2020 Programme and the MASA Consortium.