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DFG Practical Guidelines on Digitisation. Updated version 2022.
DFG Practical Guidelines on Digitisation. Updated version 2022.
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Description

The DFG Practical Guidelines on Digitisation provide a fundamental basis for DFG-funded digitisation projects in its “Digitisation and Indexing” programme: They formulate standards and contain information on organisational, methodological and technical issues in the context of digitising and indexing objects relevant for research. They thus make an important contribution towards the sustainability, accessibility and compatibility of funded projects and to the resulting infrastructure. This document is an updated version of the Practical Guidelines last published in 2016 by the DFG. It was developed in consultation with the DFG Head Office by a group of authors initiated by the NFDI consortium NFDI4Culture, the majority of whose members have long played a part in shaping the Practical Guidelines and are actively involved in the NFDI consortia NFDI4Culture, NFDI4Memory, NFDI4Objects and Text+. The now revised Practical Guidelines on Digitisation serve as starting point for a material- and community-related differentiation of the Practical Guidelines by the communities. All communities and institutions concerned with the digitisation of research-relevant objects are encouraged to contribute their expertise to the further process.
Details

URL: https://doi.org/10.5281/zenodo.7561148Communities:
    No communities
Disciplines:Target Groups:
  • Content Provider
  • Data Steward
  • Researcher
Proficiency Levels:
  • Novice
  • Advanced Beginner

DFG-Praxisregeln "Digitalisierung". Aktualisierte Fassung 2022.
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DFG-Praxisregeln "Digitalisierung". Aktualisierte Fassung 2022.Die DFG-Praxisregeln „Digitalisierung“ stellen eine zentrale Grundlage für DFG-geförderte Projekte im Programm „Digitalisierung und Erschließung“ dar: Sie formulieren Standards und enthalten Informationen zu organisatorischen, methodischen und technischen Fragen im Kontext der Digitalisierung und Erschließung forschungsrelevanter Objekte. Sie leisten damit einen wichtigen Beitrag zur Nachhaltigkeit, Zugänglichkeit und Anschlussfähigkeit geförderter Projekte und der in diesem Zusammenhang entstehenden Infrastruktur. Das vorliegende Dokument stellt eine aktualisierte Fassung der zuletzt 2016 durch die DFG publizierten Praxisregeln dar. Es wurde in Absprache mit der DFG-Geschäftsstelle durch eine vom NFDI-Konsortium NFDI4Culture initiierte Autor*innengruppe erarbeitet, deren Mitglieder mehrheitlich seit langem an der Ausgestaltung der Praxisregeln beteiligt waren sowie aktiv in die NFDI-Konsortien NFDI4Culture, NFDI4Memory, NFDI4Objects und Text+ eingebunden sind. Die jetzt überarbeitet vorliegenden Praxisregeln „Digitalisierung“ dienen als Ausgangspunkt für eine material- und communitybezogene Ausdifferenzierung der Praxisregeln durch die Communitys. Alle mit der Digitalisierung forschungsrelevanter Objekte befassten Communitys und Einrichtungen sind dazu aufgerufen, mit ihrer Expertise am weiteren Prozess mitzuwirken.
Learning Resource Type
Report
File Format
PDF
Languages
German
Media Type
Text
Publication Date
2023
License
CCBY
Size
820 KB
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Disciplinary Metadata | DCC
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Disciplinary Metadata | DCCWhile data curators, and increasingly researchers, know that good metadata is key for research data access and re-use, figuring out precisely what metadata to capture and how to capture it is a complex task. Fortunately, many academic disciplines have supported initiatives to formalise the metadata specifications the community deems to be required for data re-use. This page provides links to information about these disciplinary metadata standards, including profiles, tools to implement the standards, and use cases of data repositories currently implementing them.
Learning Resource Type
Web page
File Format
HTML
Languages
English
Media Type
Text
License
Proprietary
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RDA Metadata Standards Directory
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RDA Metadata Standards DirectoryThe RDA Metadata Standards Catalog is a collaborative, open directory of metadata standards applicable to research data. It is offered to the international academic community to help address infrastructure challenges.
Learning Resource Type
Reference Work
File Format
HTML
Languages
English
Media Type
Text
License
CC0
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Keywords
Wer nutzt die GND?  – Portraits der Nutzenden
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Wer nutzt die GND? – Portraits der NutzendenWer nutzt eigentlich die GND? Wie wird sie konkret eingesetzt? Welchen Mehrwert sehen Bibliotheken, Museen, Archive und Forschungsprojekte in der Verknüpfung ihrer Sammlungs- und Forschungsdaten mit der GND?
Learning Resource Type
Web page
File Format
HTML
Languages
German
Media Type
Text
Publication Date
2023
License
CCBY
Authors
DAPHNE4NFDI. DAta from PHoton and Neutron Experiments
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DAPHNE4NFDI. DAta from PHoton and Neutron ExperimentsDAPHNE4NFDI 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.
DataCite Best Practice Guide
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DataCite Best Practice GuideThis document is a guideline for the use of the official DataCite Metadata Schema documentation (https://schema.datacite.org/), version 4.4 (https://doi.org/10.14454/3w3z-sa82). A support documentation for more convenience and better navigation can be found here as a HTML version DataCite Metadata Schema Documentation (https://datacite-metadata-schema.readthedocs.io/, different versions available). It is meant for researchers, IT and library support staff. Further information on the schema can be found on the DataCite support site (https://support.datacite.org/docs/datacite-metadata-schema-44). The document was created with participation from the following institutions/projects: *IT-Gruppe Geisteswissenschaften (LMU), *Leibniz Supercomputing Centre, *Max Weber Stiftung - Deutsche Geisteswissenschaftliche Institute im Ausland, *Universitätsbibliothek der FAU, *Universitätsbibliothek der LMU München, *VerbaAlpina. This guide is designed to be reused by other institutions as well. To create a DataCite XML file for the project you want to describe, we recommend to you to use the DataCite Metadata Generator [external link]. This tool is kept in sync with this guideline, safe for transmission times inbetween versions. If you want to create metadata for research data on a scale that is too large for manual procedures, please contact one of the institutions named above.
Learning Resource Type
Best Practices
File Format
PDF
Languages
English
Media Type
Image, Text
Publication Date
2022-09-20
License
CCBYSA
Size
4.4 MB
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