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The role of Helmholtz Centers in NFDI4BIOIMAGE - A national consortium enhancing FAIR data management for microscopy and bioimage analysis

Massei, Riccardo; Schmidt, Christian; Bortolomeazzi, Michele; Thoennissen, Julia; Bumberger, Jan; Dickscheid, Timo; Mallm, Jan-Philipp; Ferrando-May, Elisa

Abstract

Germany’s National Research Data Infrastructure (NFDI) aims to establish a sustained, cross-disciplinary research data management (RDM) infrastructure that enables researchers to handle FAIR (findable, accessible, interoperable, reusable) data. While FAIR principles have been adopted by funders, policymakers, and publishers, their practical implementation remains an ongoing effort. In the field of bio-imaging, harmonization of data formats, metadata ontologies, and open data repositories is necessary to achieve FAIR data. The NFDI4BIOIMAGE was established to address these issues and develop tools and best practices to facilitate FAIR microscopy and image analysis data in alignment with international community activities. The consortium operates through its Data Stewards team to provide expertise and direct support to help overcome RDM challenges. The three Helmholtz Centers in NFDI4BIOIMAGE aim to collaborate closely with other centers and initiatives, such as HMC, Helmholtz AI, and HIP. Here we present NFDI4BIOIMAGE’s work and its significance for research in Helmholtz and beyond

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The role of Helmholtz Centers in NFDI4BIOIMAGE A national consortium enhancing FAIR data management for microscopy and bioimage analysis Riccardo Massei1, Christian Schmidt2, Michele Bortolomeazzi2, Julia Thönnißen3, Jan Bumberger1, Timo Dickscheid3, 4, Jan-Philipp Mallm2, Elisa Ferrando-May2,5 1Helmholtz Center for Environmental Research -UFZ, Leipzig, 2German Cancer Research Center (DKFZ), Heidelberg, 3Forschungszentrum Jülich (FZJ), Jülich ,4Heinrich Heine University (HHU), Düsseldorf, 5University of Konstanz, Konstanz The NFDI4BIOIMAGE Data Stewards Team can support you to manage your bioimaging data according to the FAIR principles. They help you navigate through the Bioimaging Data Life Cycle from image acquisition up to archiving and long-term storage. Consult our Help Desk! https://nfdi4bioimage.de/help-desk Receive direct support with your bioimaging data management challenges, e.g.: •How do I write a Data Management Plan for bioimaging research? •How do I handle microscopy data to comply with the FAIR principles? •With which metadata and how should I annotate my bioimage data? •How do Ipublish image data in trusted repositories? •How do I organize a workshop or course in my institution? Microscopy data is (often)… •high-dimensional (X, Y, Z, Channel, Time, …) •acquired in proprietary file formats defined by the vendors •of large file size (often in GB-, sometimes in TB-range) •produced with complex experimental set-ups •used for image analysis to derive quantitative results Detailed imaging of zebrafish embryo cardiovascular system using plane illumination microscopy (SPIM) Courtesy of: Jan Huisken, University of Göttingen The Microscopy Data Management Challenge NFDI4BIOIMAGE A consortium of the National Research Data Infrastructure (NFDI) Network of 26 collaborating Consortia and a cross-consortium project (BASE4NFDI) “The aim (…)is to systematically manage scientific and research data, provide long-term data storage, backup and accessibility, and network the data both nationally and internationally.” Adapted from: https://www.dfg.de/foerderung/programme/nfdi/informationsmaterialien/index.html, copyright: Deutsche Forschungsgemeinschaft Services by the NFDI4BIOIMAGE Help Desk What is the National Research Data Infrastructure (NFDI)? The NFDI4BIOIMAGE Consortium is a collaboration project comprising •23 members in Germany (lead: Heinrich Heine University Dusseldorf) •multiple supporters and partners •international partners like Euro-BioImaging ERIC, OME, Galaxy, etc. Roles of the Helmholtz Centers in NFDI4BIOIMAGE German Cancer Research Center (DKFZ) • Governance, Management, Organization (E. May, C. Schmidt) • Multimodal data integration & spatial omics (P. Mallm, M. Bortolomeazzi) Helmholtz Center for Environmental Research (UFZ) • Handling, management, and metadata of high-content screening data (J. Bumberger, R. Massei) Forschungszentrum Jülich (FZJ) • Brain Imaging Data, Large image data handling (T. Dickscheid, J. Thönnißen) References … i.e., cumbersome to handle, store, and share? NFDI4BIOIMAGE is funded by the Deutsche Forschungsgemeinsschaft (DFG, German Research Foundation) under the National Research Data Infrastructure, grant number NFDI 46/1, project number 501864659 [email protected] •Schmidt, C. and E. Ferrando-May, NFDI4BIOIMAGE - An Initiative for a National Research Data Infrastructure for Microscopy Data, in E-Science Tage - Share your Research Data. 2021: Heidelberg. DOI: 10.11588/heidok.00029489. •Massei, R., NFDI4BIOIMAGE - National Research Data Infrastructure for Microscopy and BioImage Analysis, The Pelagic Imaging Consortium meets Helmholtz Imaging, Hamburg, Germany. Zenodo. DOI: 10.5281/zenodo.8414319 •Schmidt, C., et al., Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey. F1000Research, 2022. 11: p. 638. DOI: 10.12688/f1000research.121714.2. https://nfdi4bioimage.de Main Goals and Objectives: Consortia Assembly NFDI Directorate Scientific Senate With the exception of logos and the layout, the content of this poster is shared under the terms of the Creative Commons Attribution License (CC-BY 4.0), unless marked otherwise