Schedule

Lecture 1

Time: 12:00 - 12:30

Speaker: Maarten Coonen

Title: "Linked data applied to digital heritage collections"

Abstract: 
The University Library Maastricht holds various special collections (books, prints, maps, letters, etc.) that are used for education and research. Some of these collections are directly related to Limburg and its history, making them part of regional and/or national heritage. In order to make these collections Findable and Accessible to the public whilst keeping the physical copies preserved for the future, there is an ongoing process to digitize these materials and put them in collection management systems and repositories.
One of these special collections is the personal collection of the Maastricht poet Pierre Kemp (1886-1967). It consists of various object types, such as books, handwritten letters, graphic work and physical objects (a record cabinet, a desk, etc.) and many more. We are currently setting up a new system (Omeka S) to make the Kemp collection digitally accessible. As part of the national initiative to make heritage collections Interoperable and Reusable (NDE programme “Verbonden Digitaal Erfgoed”) we are taking steps to annotate the collection items with linked open (meta)data in order to connect our collection with resources online and opening up opportunities for data science research.

Lecture 2

Time: 12:30 - 13:00

Speaker: Pedro Hernández Serrano

Title: "The FAIR extension: A web browser extension to evaluate Digital Object FAIRness".

Abstract: 
The scientific community's efforts have increased regarding applying and assessing the FAIR principles on Digital Objects (DO) such as publications, datasets, or research software. Consequently, openly available automated FAIR assessment services have been advanced. University Libraries have been working on facilitating these processes by using technology and applications to engage the research community.
We will introduce The FAIR extension. An open-source web browser extension that evaluates FAIR metrics of Digital Objects directly from any website. It is a result of a collaboration between the Netherlands eScience Center, the Maastricht University Library and the Institute of Data Science.
The FAIR extension is not yet another FAIR assessment tool. Instead, it connects to an existing FAIR evaluator API (i.e. FAIR-enough). Therefore, it promotes the reuse of current standards and community-accepted metrics.
The FAIR extension is an example of Research Software. Thus we will elaborate on how the FAIR principles for Research Software are also applied in web applications.