Data discovery & Data reuse

Training materials for the event: "Training of “EUDAT Tools” (Part of “Train-the-Trainer: Exploring tools for FAIR data”)"

Taining material about the event: "How to make training FAIR"

The main objective of this session is to show how EOSC services can be used for managing active research data (i.e. data transfer, storage, and sharing) and for preserving final research data (i.e. data archiving and publishing). During this training, we will give a brief overview of the EUDAT Services in the data life cycle and demonstrate how these services operate and integrate with each other to meet the data management requirements of research communities and comply with the FAIR principles - which require the data to be properly documented, annotated, archived, published and accessible to the wider community.

This training track is relevant for researchers, IT support people, and service providers who operate services for Open Science.

In the series of workshops on FAIR services for research data that OpenAIRE is jointly organizing with FAIRsFAIR, EOSC hub and RDA-Europe, the second workshop took place as a part of the larger event ‘Linking Open Science in Austria’. The series of workshops explores: how data infrastructures can work together to meet the challenges of creating, managing, opening and archiving FAIR data.

The aim of the workshops is to:

• Look at the landscape of data infrastructures looking to integrate FAIR into their services
• Set initial recommendations and to find out what the challenges and priorities are

The interactive workshop "Services to Support FAIR Data" had a similar structure as the first workshop in the series of three but was aimed at researchers and research support.

Full programme is here: https://linkingopenscience.univie.ac.at/agenda/

The webpage provides the basic overview of the Component MetaData Infrastructure (CMDI) service provided by CLARIN. The service provides a framework to describe and reuse metadata blueprints.
Most of the more detailed material available is geared towards end-user of the Virtual Language Observatory  (VLO):

•  Introductory leaflet: https://www.clarin.eu/sites/default/files/VLO-CLARIN-ShortGuide.pdf
• Online VLO documentation: https://vlo.clarin.eu/help
• How to use the VLO for discovering resources in a research context (video with examples): https://www.youtube.com/watch?v=_FTzaOC7Ofg
• An interactive guided tour. It can be triggered manually in the application itself or via the link: https://vlo.clarin.eu/tour
• Additional resources: https://vlo.clarin.eu/about

For developers and administrators, following documentations are provided:

• Documentation on the VLO source code repository: https://github.com/clarin-eric/VLO#table-of-contents
• Documentation on the VLO docker image repository: https://gitlab.com/CLARIN-ERIC/docker-vlo-beta#readme
• Documentation on the VLO docker compose project repository: https://gitlab.com/CLARIN-ERIC/compose_vlo#readme

For technical users of the metadata infrastructure a useful resource, although work in progress, is the best practices guide
https://www.clarin.eu/content/cmdi-best-practices-guide and its related resources.

Training material used for the webinar:
https://www.eosc-hub.eu/webinar-how-manage-your-data-make-them-open-and-...

Part of the IEEE Workshop on Big Data Metadata and Management (BDGMM 2018) taking place in Berlin, Mar 19-20, 2018 in conjunction with RDA Plenary 11.