Status: Recognised & Endorsed The Metadata IG will concern itself with all aspects of metadata for research data. In particular it will attempt to coordinate the efforts of the WGs concerned with metadata to produce a coherent approach to metadata covering metadata modalities of description, restriction, navigation, provenance, preservation and the use of metadata for the purposes discovery, contextualisation, validation, analytical processing, simulation, visualisation and interoperation. It will also liaise with the other WGs especially Data Foundation and Terminology, PIDs, Standardisation of data categories and codes and Data Citation. This IG activity relates to data management policies and plans of research organisations and researchers, and to policies and standards of research funders and of research communities which may or may not be official standards.
VIMMP provides an easily accessible, user-friendly hub to access all tangible and intangible components, such as information, knowledge, services and tools to support the efficient decision making, uptake and effective use of materials. At the core of VIMMP will be a metadata enriched data environment that eases the tasks of all actors. In particular it will facilitate the translation of a scientific problem into modelling workflows, ready for simulation using a range of software tools integrated into an open simulation platform and deployed on cloud services. The VIMMP platform is open, so that any provider can easily integrate and deploy their software codes as well as services.
The 'German Network for Bioinformatics Infrastructure – de.NBI' is a national, academic and non-profit infrastructure supported by the Federal Ministry of Education and Research providing bioinformatics services to users in life sciences research and biomedicine in Germany and Europe. The partners organize training events, courses and summer schools on tools, standards and compute services provided by de.NBI to assist researchers to more effectively exploit their data.
Ansatz, um die Abhängigkeiten von Jupyter-Notebooks definieren und (temporär) auflösen zu können, ohne etwas an der lokalen Installation ändern zu müssen
BioSchemas relies and extends from schema.org and aims to reuse existing standards and reach consensus among a wide number of life sciences organizations and communities.
In Rechenzentren, Bibliotheken und Einrichtungen für Forschungsförderung ist man sich der Bedeutung von FDM längst bewusst. Doch auch wenn Daten als Grundlage zukunftsfähiger Forschung gelten und Basis von Wissensgenerierung sind, bedarf es in der Breite der Forschenden noch viel Sensibilisierung und Aufklärung. Zur Unterstützung der Mitarbeiterinnen und Mitarbeiter der Infrastruktureinrichtungen bei dieser Aufgabe, hat die Landesinitiative NFDI der Digitalen Hochschule NRW gemeinsam mit einer hochschulübergreifenden Arbeitsgruppe Awarenessmaterialien für FDM entwickelt, die zur freien Nachnutzung und Anpassung unter der Lizenz CC0 (Ausnahmen wurden gekennzeichnet) zur Verfügung stehen. Kontakt: fdm@dh-nrw.de