FAIR Research Data Management - A deeper dive into putting FAIR RDM into practice.

Beschrijving

These training materials are part of a five-part course aimed at early career researchers on FAIR Research Data Management (RDM). We share these materials so that research data professionals can reuse them in their instructions or training sessions.
The main theme of this course are the FAIR principles: sharing research data that are Findable, Accessible, Interoperable and Reusable.
The FAIR RDM course is intended to be flexible and modular: we invite users to (re)use and adapt those parts that are suitable for their audience.
Sessions 1-3 of this course are aimed at absolute beginners: that is, those who likely have knowledge of research processes in general but are new to research data management and the FAIR principles. Sessions 4-5 are aimed at an intermediate level: those who have completed the first three modules and/or already have some existing knowledge of FAIR RDM.

The training session ‘A deeper dive into putting FAIR RDM into practice. Part 1’ was piloted in September 2024 as the fourth session of the 'FAIR Research Data Management' 5-session course (beginner and intermediate level). The course was developed and piloted as part of the PATTERN project (https://www.pattern-openresearch.eu/).

Topic 1 - Metadata
Libraries, archives, museums have a long history of creating and sharing robust, structured metadata. Card catalogs were the first metadata management systems based on the MARC metadata standard. Online bibliographic information systems are based on the card catalogs. Another prominent metadata standard, Dublin Core, aimed at “resource discovery on the web” is introduced and its relevance is explained.

As an exercise the learners are asked to share examples of metadata standards that are used in their community. For these they can use online metadata catalogs as information sources.

Three types of metadata are introduced: administrative md, descriptive md and structural md. Then an overview of how metadata is generated is covered (from handmade until AI generated metadata).

Topic 2 Persistent identifiers
What is the relevance of PIDs: to mitigate “link rot” and “content drift” and to enable the creation of a “PID graph”. The PID graph links research entities such as databases, publications, projects, etc based on the PIDs of the objects.

PIDs are not persistent by magic. The “PID ecosystem” is presented. Actors such as “PID services” and “PID managers” are introduced and discussed.

The last topic of the session concerns the ways PIDs for research entities can be realized.

A short evaluation and wrap-up of the session finalizes the session.

Periode	24 sep. 2024
Evenementstype	Workshop
Locatie	Den Haag, NederlandToon op kaart
Mate van erkenning	Internationaal