Mitglied im Netzwerk von Contact: CFCI / Müller-Reichert Lab Silke Tulok / Dr. Gunar Fabig Silke Tulok¹, Gunar Fabig¹, Andy Vogelsang¹, Thomas Kugel², Thomas Müller-Reichert¹ ¹TU Dresden, Faculty of Medicine Carl Gustav Carus, Core Facility Cellular Imaging, ²TU Dresden, Faculty of Medicine Carl Gustav Carus, Divisional Management, IT Department ¹TU Dresden, Faculty of Medicine Carl Gustav Carus, Core Facility Cellular Imaging Abstract The FAIR concept (Findability, Accessibility, Interoperability, Reproducibility) of data management is of relevance for all current areas of research. For imaging data obtained from both light and electron microscopy, data management is associated with a number of challenges related to the size, complexity, dimensionality, visualization and quantitative analysis of the acquired data. We have started to use the Python-based and open-source image data management software OMERO. This software package has been introduced by the Open Microscopy Environment developers of the University of Dundee. OMERO is an encouraging option to manage microscopy data. It is installed on a virtual machine and connected to a central data server to manage the storage of images in a multi-user environment. In addition to long-term data storage, it provides possibilities for saving important metadata in an efficient manner, thus avoiding multiple copies of data. It can also handle open source-based processing tools for image analysis, thereby allowing effective image analysis workflows. The Core Facility Cellular Imaging (CFCI) at the Faculty of Medicine Carl Gustav Carus (TU Dresden) is currently running a pilot project for testing the use and handling of the OMERO software. This is done together with interested users of the imaging facility and a research group. Currently, we are pushing forward this pilot study on a small scale without any data steward. Our experiences argue so far for giving data management issues into the hands of dedicated personnel not fully involved in research projects. As funding agencies will ask for higher and higher standards for implementing FAIR- data principles in the future, this will be a relevant topic for the whole research community. We want to introduce a convenient solution, which could be applicable for many users within the DRESDEN-concept research alliance and demonstrate how to establish and manage OMERO in a facility context. 2020 March TiM conference: first introduction to OMERO 2020 October Letter of support for the I3D:bio grant application 2022 February First local meeting with IT to start a pilot project (10 TB server space) 2022 March Support by RDM4mic for setting up the OMERO server 2022 May Cooperation agreement with I3D:bio for support during pilot project 2022 May IT infrastructure (storage & virtual machine & staff) ready to start 2022 July OMERO setup finished, test environment at IT department 2022 September OMERO login (only for members of the Faculty of Medicine) 2022 October Preliminary teaching materials provided by I3D:bio team 2022 November Start uploading of data (light-sheet microscopy, live-cell imaging, slide scanner) 2023 March TiM conference - First hands-on training with I3D:bio team (tagging, data structure) 2023 April OMERO open for all TU members, web access from all over the world 2023 April Start to implement analysis workflow in OMERO environment 2023 August Second hands-on meeting with I3D:bio team (scripting, key value templates) 2023 August Meeting with local IT for future expansion (IT resources, personnel resources) 2023 September Pilot implementation for medical education (parallel data access for >300 students) RDM4mic OMERO Research Data Management for Microscopy Swedlow et al. developed OME-TIFF DFG funds German BioImaging Network Funding for NFDI4BIOIMAGE by DFG Funding for I3D:bio by DFG 2000 2012 2019 2023 2022 - 2024 2023 - 2028 Information Infrastructure for BioImage Data https://www.i3dbio.de TiM Conference First hand-on meeting