HMC Trainingsmaterial

Unsere Lieblingsmaterialien zu Metadaten und FAIR

Wer sich gern in Eigenregie zu Metadaten, Forschungsdatenmanagement etc. informieren oder lernen möchte, dem seien unsere Lieblingsmaterialien zu Metadaten und FAIR empfohlen. Fehlen empfehlenswerte Webseites oder tolle Artikel, schreiben Sie uns gerne eine Nachricht.

Unsere Materialsammlung wird zukünftig auch Veranstaltungsmaterialien enthalten, die im Rahmen von HMC-Workshops, -Schulungen oder anderen Ereignissen entstanden sind. Außerdem wird auch eine Liste mit Empfehlungen für eLearning-Plattformen und andere Ressourcen, die FAIR-relevante Themen gut aufbereitet vermitteln, zu finden sein.


Overview of the FAIR principles and option to deepen the knowledge with "self-training modules"

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The FAIR Guiding Principles for scientific data management and stewardship

By: M.D. Wilkinson et al. 2016

THE article for FAIR principles

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The FOSTER e-learning platform offers open educational resources about Open Science strategies and skills; including a course module about FAIRness assessment of research data. Each course takes about 1-2 hours to work through. The FOSTER Plus project was an EU-funded project carried out by 11 partners across 6 countries.

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Based at the University of Oxford, FAIRsharing is a portal hosting knowledge material on 3 main topics: Metadata standards, databases and data policies. The material discovery can be guided by keywords search and is organized in 3 macro areas : Recommendations, collections and educational.

The registry button "Standard" links straight to a list of terminology artefacts, models/formats, reporting guidelines and identifier schemas that can make it easier to get started with metadata annotation.

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EU- FAIR practices

Report analyses the state of FAIR practices within diverse research communities and FAIR-related policies in different countries and offers six practical recommendations on how FAIR can be turned into practice.

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4TU. Research Data Games

Collection of minigames on data management from the 4TU.ResearchData (NL)

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A collection of relevant training material for data management, with a focus on life science. The RDMkit is a guide on all steps within the data life cycle and is part of the EU-project ELIXIR-CONVERGE.

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DMT-Clearinghouse provides further links to training and cookbooks for data handling for a diverse range of research fields. Originated from a collaboration in the field of earth sciences and DataONE, a data repository.

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Training platform developed in the framework of Elixir initiative, It hosts a rich material collection, training events and learning paths.

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Knowledge Clips-UGhent

Youtube channel curated by the Ghent Uni Library team. The team activity is dedicated to support data users and producers with information on RDM practices. Knowledge topics for this set of videos are Data Management Plan, FAIR data.

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General: On the English Pages they have assembled a wealth of information concerning research data management (RDM), focusing on German particularities such as legal issues, funding, guidelines and policies and more. They are not providing a complete translation of the German version of

FAIR: Description of how to get „FAIRe Daten“ with a good link collection round about the FAIR topic.

Keywords: FAIRe Daten | Veröffentlichen und Archivieren | Themen | Forschungsdaten und Forschungsdatenmanagement

Deutsch | English

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