Setting up a data management infrastructure for bioimaging

Autor(en): Kunis, Susanne 
Bernhardt, Karen 
Hensel, Michael 
Stichwörter: Biochemistry & Molecular Biology; FAIR; metadata; microscopy; OMERO; research data management
Erscheinungsdatum: 2023
Volumen: 404
Ausgabe: 5
Startseite: 433
Seitenende: 439
While the FAIR (Findable, Accessible, Interoperable, and Re-usable) principles are well accepted in the scientific community, there are still many challenges in implementing them in the day-to-day scientific process. Data management of microscopy images poses special challenges due to the volume, variety, and many proprietary formats. In particular, appropriate metadata collection, a basic requirement for FAIR data, is a real challenge for scientists due to the technical and content-related aspects. Researchers benefit here from interdisciplinary research network with centralized data management. The typically multimodal structure requires generalized data management and the corresponding acquisition of metadata. Here we report on the establishment of an appropriate infrastructure for the research network by a Core Facility and the development and integration of a software tool MDEmic that allows easy and convenient processing of metadata of microscopy images while providing high flexibility in terms of customization of metadata sets. Since it is also in the interest of the core facility to apply standards regarding the scope and serialization formats to realize successful and sustainable data management for bioimaging, we report on our efforts within the community to define standards in metadata, interfaces, and to reduce the barriers of daily data management.
ISSN: 1431-6730
DOI: 10.1515/hsz-2022-0304

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