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Research data in mathematics come in many different forms. The Mathematical Research Data Initiative MaRDI, the consortium for mathematics in the National Research Data Infrastructure (NFDI), is working with the scientific community to develop an infrastructure for the FAIR handling of these diverse mathematical research data. This presentation describes the structure of the consortium, services under construction and current developments., The HeFDI Data Talks are a bi-weekly open information and discussion event focused on data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and presents numerous – including local and regional – tools and services. The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).

DAPHNE4NFDI is the first (inter-)national attempt to bring together users and large-scale research facilities to create a comprehensive infrastructure to process research DAta from PHoton and Neutron Experiments (DAPHNE) according to the FAIR principles. Our community faces a common need for high-level, rapid data analysis and the challenge of implementing research data management for increasingly large and complex datasets. All this involves not only a broad range of scientific disciplines and stakeholders, but also the connection to complex instrumentation and IT. Within the talk, Lisa Amelung would like to inform about the DAPHNE4NFDI consortium and discuss (current) challenges and future tasks., The HeFDI Data Talks are a bi-weekly open information and discussion event focused on data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and presents numerous – including local and regional – tools and services. The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).

Together with other disciplines, plant research increasingly relies on effective research data management services and infrastructures that facilitate the acquisition, archival, exchange, and processing of research data sets to enable the exchange of interdisciplinary expertise. While various suggestions on best practices for FAIR data have been made, it is nevertheless always up to individual researchers' initiative and additional effort to adhere to them. Focused on its core mission to minimize the additional work of research data management, DataPLANT wants to support plant researchers in practice, providing technical services and infrastructure and personal support. Therefore DataPLANT, one consortium of the NFDI (Nationale Forschungsdateninfrastruktur) focusing on plant research project, works in a data-centric way and builds on existing structures. A central element for achieving the goal is the Annotated Research Context (ARC), which acts as single entry point and will define the structure of a future data publication. ARCs are FAIR Digital Objects covering the entire research cycle, from the experiment to the computational aspects to the actual data and metadata, as well as the resulting data publications using existing repositories. Several tools and services are already available to ensure working with ARCs is done without friction in a collaborative research environment. Accordingly, DataPLANT represents the central point of contact for plant researchers to set up appropriate research data management., The HeFDI Data Talks are a bi-weekly open information and discussion event focused on data management in the context of science, in which relevant NFDI consortia as well as research data management services present themselves. The series discusses current topics and presents numerous – including local and regional – tools and services. The HeFDI Data Talks are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).

Elektronische Laborjournale (ELNs) sind eines der wichtigsten Werkzeuge der Forschenden, die es ermöglichen, Ihre Forschungsdaten nach den FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) zu veröffentlichen. Das Open-Source ELN Chemotion sowie das angebundene Chemotion Repositorium, welche kontinuierlich durch das Konsortium NFDI4Chem im Rahmen der NFDI (Nationalen Forschungsdateninfrastruktur) weiterentwickelt werden, sind besonders auf die Umsetzung der FAIR-Prinzipien ausgelegt., Die HeFDI-Forschungsdatentage ermöglichen es Forschenden, Lehrenden und allen weiteren Interessierten, Themen und Angebote des Forschungsdatenmanagements (FDM) kennenzulernen und zu erproben. Zudem stellen verschiedene hessische Infrastruktur-Einrichtungen und Zentren ihre Dienste und Angebote vor. Die Forschungsdatentage sind ein Angebot der Landesinitiative HeFDI - Hessische Forschungsdateninfrastrukturen, welche vom Hessischen Ministerium für Wissenschaft und Kunst (HMWK) finanziert wird.

Data documentation via metadata plays a major role in any research project and metadata is the key to finding and understanding even your own data. In addition, it provides a reliable record for future references and enables reuse and reproduction of results. In order to enable FAIR (findable, accessible, interoperable, reusable) use of research data, the documentation needs to follow standardized norms and be machine-actionable. For this, semantic models offer a wide range of benefits. Different metamodel schemas exist today, designed and developed for different purposes and disciplines. However, in many cases the vocabularies and their semantic definitions and formalizations do not fit actual engineering applications. Metadata4Ing (m4i) is an ontology based metamodel schema for process-based description of research, focusing on the provenance of both data and material objects. Metadata4Ing is intended as a general process model applicable to engineering and many other disciplines and focuses on general concepts like in- and output, employed methods and tools as well as the investigated entity, reusing terms of existing ontologies where possible., The HeFDI Research Data Days (HeFDI-Forschungsdatentage) allow researchers, lecturers and all other interested parties to get to know and try out different topics and offers in the field of research data management (RDM). In addition, various Hessian infrastructure facilities and centres present their offers and services. The Research Data Days are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).

In the talk "Research Data Management for Biodiversity Data", Juliane Röder and Marlen Fischer present the NFDI4Biodiversity consortium and the basic principles of research data management. These include, i.e., repositories, metadata (standards) and persistent identifiers in biodiversity research., The HeFDI Research Data Days (HeFDI-Forschungsdatentage) allow researchers, lecturers and all other interested parties to get to know and try out different topics and offers in the field of research data management (RDM). In addition, various Hessian infrastructure facilities and centres present their offers and services. The Research Data Days are an offer of the HeFDI Initiative (Landesinitiative HeFDI), which is funded by Hesse's Ministry for Science and Arts (HMWK).