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Considerations for FAIR data catalogs from DAPHNE4NFDI
Bishoy Hakim1, Fabio Dall'Antonia2, Johannes Dallmann1
1Institute for Crystallography and Structural Physics (ICSP), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany.
Metadata catalogs are crucial for making photon and neutron (PaN) science data findable, accessible, interoperable, and reusable (FAIR). This work examines current catalog implementations and offers recommendations for a federated, FAIR-compliant infrastructure.
Area of Science:
- Photon and neutron (PaN) science research.
- Data management and scientific infrastructure.
Background:
- Large-scale PaN experiments generate significant data, but FAIR principles implementation is incomplete.
- Metadata catalogs are essential for discoverability and reusability of scientific datasets.
- The DAPHNE4NFDI consortium addresses data infrastructure challenges in Germany.
Purpose of the Study:
- To discuss the role of metadata catalogs in PaN science from a scientific perspective.
- To present the current status of metadata catalog implementations.
- To provide recommendations for a federated, FAIR-compliant catalog infrastructure.
Main Methods:
- Review of existing metadata catalogs (e.g., SciCat, ICAT, SampleDB).
- Analysis of integration with standards like NeXus, sample databases, and electronic lab notebooks.
- Categorization of catalogs by purpose (raw, institutional, public data) and examination of practical aspects (authentication, PIDs, enrichment).
Main Results:
- Current catalog implementations vary in purpose and functionality.
- Integration of standards and practical aspects like PIDs and authentication are key challenges.
- Case studies highlight lessons learned for minimizing fragmentation and enabling interoperability.
Conclusions:
- Metadata catalogs are vital for FAIR data in PaN science.
- Harmonizing policies for identity and persistent identifiers is recommended.
- Semantic technologies and knowledge graphs will be central to future federated catalog infrastructures.
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