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Tabea Bacher (Max Planck Institute for Mathematics in the Sciences), Jens Saak (Max Planck Institute for Dynamics of Complex Technical Systems)4/20/23, 9:00 AM
Mathematical research data is vast, complex, and multifaceted. It emerges within mathematical sciences but also in other scientific areas such as physics, chemistry, life sciences and the Arts. Standardised formats, data interoperability and application programming interfaces need to be developed to ease the use of data across disciplines. With this in mind, the Mathematical Research Data...
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Fabian Gans4/20/23, 9:30 AM
NFDI4Earth is trying to bring together a Earth System Sciences through a diverse and large consortium of more than 60 institutions. The project is setting up a OneStop4All as a first contact point to find solutions for Earth System Science related data management tasks, connecting to important data portals, infrastructure providers and a User support network. The consortium has opened calls...
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Alessandro Adamou (Bibliotheca Hertziana - Max Planck Institute for Art History)4/20/23, 10:00 AM
The Bibliotheca Hertziana (BHMPI) has been involved with the process of conceiving a Consortium for the cultural-historic sciences in the Humanities, which led to the foundation of NFDI4Culture in June 2020. The NFDI4Culture mission is to systematically develop, make accessible, and sustainably secure research data from art, music, architecture, theatre, dance, film, and media studies into a...
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Annette Trunschke4/20/23, 11:00 AM
A great potential in catalysis research is seen in an increasing integration of theory and experiment and the broader application of data science methods to experimental and calculated data.1 The data exchange necessary for this requires progressive digitalization. Experimental data must be generated reproducibly and with sufficient diversity, and must be available in machine-readable form. At...
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Michael Kramer (Max-Planck-Institut für Radioastronomie, Bonn, Germany)4/20/23, 11:30 AM
PUNCH4NFDI is the NFDI consortium of particle, astro-, astroparticle, hadron and nuclear physics, representing about 9.000 scientists with a Ph.D. in Germany, from universities, the Max Planck Society, the Leibniz Association, and the Helmholtz Association. PUNCH physics addresses the fundamental constituents of matter and their interactions, as well as their role for the development of the...
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Philipp Wieder (GWDG)4/20/23, 12:00 PM
Language and text-based research data are of great importance in many disciplines in the humanities. Initially with the data domains Collections, Lexical Resources and Editions, Text+ addresses the requirements of a wide range of research fields. Therefore, it will systematically expand its data portfolio. This also includes tools to support researchers in the FAIR creation, use and provision...
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Walid Hetaba (MPI für Chemische Energiekonversion)4/20/23, 2:00 PM
To exploit data generated in the fields of condensed-matter physics and chemical physics of solids as well as catalysis research, a FAIR data infrastructure is necessary. FAIRmat’s goal is to provide this infrastructure. FAIRmat integrates synthesis, experiment, theory, digital infrastructure and applications to pursue this goal.
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From an experimental point of view, the tasks include the... -
Carsten Fortmann-Grote (MPI for Evolutionary Biology)4/20/23, 2:30 PM
The NFDI4BIOIMAGE consortium was approved for funding in November 2022 and starts in March 2023. Led by Heinrich-Heine University Düsseldorf it brings together researchers, data stewards, and research software engineers from various German Universities and Research Institutes. The Max Planck Institute for Evolutionary Biology has Participant status. NFDI4BIOIMAGE is focused on the development,...
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Steffen Hennicke (MPI for the History of Science)4/20/23, 3:00 PM
The 4Memory consortium [1] focuses on the field of history and those disciplines that make use of historical data as part of their methodology.
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Historical data includes “texts ranging from antiquity to the modern era, images, photos, audio and video recordings, statistics, structured data, metadata, ontologies, and hypertexts” as well as “personal data, spatial structures, and changes in... -
Raphael Ritz (MPCDF)4/21/23, 9:00 AM
Creating NFDI-wide basic services in a world of specific domains
NFDI is a German initiative to set up research data infrastructures within all disciplines, covering Humanities and Social Sciences, Life Sciences, Natural Sciences and Engineering Sciences. To ensure sustainability, it will integrate national with international activities.
In addition to domain-specific NFDI consortia,...
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Ramin Yahyapour4/21/23, 9:30 AM
NFDIxCS is a new consortium starting in 2023 which focuses on the needs of the Computer Science (CS) community. It aims to provide services and workflow to support the FAIR principles for the complex domain-specific data objects from the vast field of Computer Science. This includes producing reusable data objects which contain not only various types of CS data including the associated...
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Walter Leitner (Max Planck Institute for Chemical Energy Conversion), Philipp Adamitzki (Max Planck Institute for Chemical Energy Conversion)4/21/23, 10:00 AM
Data management in catalysis is currently organised mainly at institutional or working group level and based on local conventions. However, catalysis is complex and interdisciplinary research, so it would be important to create an overarching interface in the area of data management so that FAIR data can be easily exchanged between disciplines. Through this interface and the integration of...
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Ramin Yahyapour (GWDG)4/21/23, 11:00 AM
NFDI4Biodiversity is one of the consortia under the umbrella of the National Research Data Infrastructure (NFDI) and dedicated to mobilize biodiversity and environmental data for collective use.
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The consortium includes close to 50 scientific institutions, museums, natural history societies, state offices, and other institutes and expert groups. They pool their scientific and technical... -
Tilmann Hickel (Max-Planck-Institut für Eisenforschung)4/21/23, 4:00 PM
The performance of any engineering material depends critically on its strongly heterogeneous and process-dependent microstructure, ranging from crystal defects at the atomic level, through microscale secondary phases up to macroscale pores. Furthermore, processes on timescales ranging from picoseconds up to centuries need to be addressed. This inherent multiscale character of materials needs...
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Micha Wijesingha Ahchige (Max Planck Institute of Molecular Plant Physiology)4/21/23, 4:30 PM
DataPLANT's main goal is to provide its community with the tools and infrastructure to store, process, and share data in a FAIR (Findable, Accessible, Interoperable, Reusable) manner. The core element of DataPLANT's Research Data Management (RDM) system is the Annotated Research Context (ARC), which has a single-entry point logic starting with the input of data and metadata, allowing the...
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Lucia Melloni (MPI for Empirical Aesthetics)
In the past decade, much of the progress in human neuroscience has come under scrutiny due to issues related to reproducibly of findings, low powered studies and also the large degree of flexibility in the analysis pipelines. Several mechanisms have been put in place to address those challenges, e.g., preregistrations and registered reports. We have focused on another neglected aspect, the...
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