2026-10-14T07:54:49Zhttps://www.radar-service.eu/oai/OAIHandler10.48606/b4sasjrr5y2u8xsf2026-08-27T03:00:12Z
https://dx.doi.org/10.48606/b4sasjrr5y2u8xsf
Müller, Maximilian
PRISMA 2020 checklist and flow diagram for the systematic review "Curriculum for Bioimaging Data Stewardship A Systematic Review of Existing Training Resources"
University of Konstanz
2026
Biology
dataset
Text
info:eu-repo/semantics/openAccess
https://creativecommons.org/publicdomain/zero/1.0/legalcode
- This data package contains the completed PRISMA 2020 Checklist and the PRISMA 2020 flow diagram for new systematic reviews which included searches of databases, registers and other sources [https://doi.org/10.1136/bmj.n71] for a systematic review for training materials in the field of data stewardship in bioimaging
- This data package is supplementing the data package "Evaluation Matrix for and Collection of Training Materials for becoming a Data Steward in Bioimaging (https://doi.org/10.48606/vz85ja0708pa37ef)" and the academic publication "Müller et. al. 2026, Curriculum for Bioimaging Data Stewardship: A Systematic Review of Existing Training Resources", which is linked in the metadata field "Related Identifier" of this data package. This README file cite sections of this ressource.
- This systematic review was conducted in accordance with the Prisma 2020 statement [https://doi.org/10.1136/bmj.n71] where applicable, was preregistered [https://doi.org/10.17605/OSF.IO/XEJNC] and financially supported by the German Research Foundation and the University of Konstanz.
- This systematic review was performed in the course of creating a curriculum for becoming a data steward in bioimaging. This work outlines the knowledge and tools DaSts need to support researchers throughout the bioimaging data lifecycle toward FAIR data. It serves as a guide to becoming a DaSt in the bioimaging domain, linking to detailed training material on core competencies, essential tools and infrastructures in this field.
- For more information see the attached README.txt
Systematic Review
Research data management
Bioimaging
Microscopy
Training
Teaching
Curriculum
Data Stewardship
eng
https://doi.org/10.13039/501100001659
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