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Sitzungsübersicht
Sitzung
Workshop 133: Brick by brick - Building rich metadata for data publications using LEGO®
Zeit:
Mittwoch, 12.03.2025:
16:00 - 17:30

Ort: Untergeschoss, Raum UGX61

Sitzungsthemen:
Institutionelle Einrichtung, FDM-Initiative, Datenformate und -standards

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Präsentationen

Brick by brick - Building rich metadata for data publications using LEGO®

Kristin Meier, Nikolai Svoboda

Leibniz Zentrum für Agrarlandschaftsforschung (ZALF) e.V., Deutschland

Imagine a world without metadata: Your IKEA® wardrobe comes without the manual or the LEGO® set you buy on Ebay® comes without instruction. Interesting to see what would be the result of totally free constructions. Creativity on one side, confusion on the other. To avoid this confusion when it comes to publishing or reusing research data, we invite you to join this workshop. We will take you on a tour around creating and publishing FAIR data with a focus on metadata.

Not all metadata is the same. When it comes to different research communities, different standards apply. At our workshop, there will be an insight into the BonaRes repository for publishing agricultural research data and its advantages. Finally we will apply the knowledge about metadata during a game session with LEGO® for Reproducibility (DOI: 10.36399/gla.pubs.196477). Afterwards we will discuss the findings and conclusions: From a game of LEGO® to metadata for FAIR research data.

• What are sufficient metadata for publication?

• Can everyone apply rich metadata to his/her data?

After completion of the workshop, participants will be well-prepared to publish their own datasets, for example with our BonaRes Repository for agricultural and soil data.

The session format will be very interactive and partly in groups. Participants should have a general interest in publishing data and it is helpful but not necessary to have heard of metadata & FAIR data. Some interest in learning things by playing games is crucial. To prepare your participation, these links provide a useful start:

• BonaRes Repository (https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en)

• FAIR criteria (https://www.go-fair.org/fair-principles/)

• Metadata (https://schema.datacite.org/)



 
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