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  4. PID Network Germany – community building and national roadmap development across ten PID use cases

PID Network Germany – community building and national roadmap development across ten PID use cases

Author(s)
Keywords

research information ...

persistent identifier...

community management

Deutsche Forschungsge...

Germany

Issue Date
May 31, 2023
Publisher
euroCRIS
Type
Presentation
Abstract
PID Network Germany is a three-year project funded by the German Research Foundation (DFG) with the participation of DataCite, the German National Library (DNB), the Helmholtz Open Science Office, the German National Library of Science and Technology (TIB) and the Bielefeld University Library, i.e. infrastructure institutions that register and manage PIDs, provide advice, and reuse PIDs in reference and search environments. The project addresses ten different PID use cases: for research data, instruments, scholarly events, cultural objects and their context, organisations and research projects, persons, physical objects, publication infrastructures and research information services, research software, and textual publications.
The project aims to establish a network of stakeholder groups, to conduct thematically focused workshops and seminars, to identify and continuously monitor the status quo and challenges and needs around PIDs in science and culture. This will be the base for developing guidelines for data providers that will be tested prototypically and finally result in the development of a national PID roadmap in a participatory process.
Description
11 slides.-- Presentation delivered by Andreas Czerniak within the session "Contributions from euroCRIS members (I)".-- Includes extended abstract submitted to the event
URI
https://dspacecris.eurocris.org/handle/11366/2451
File(s)
Thumbnail Image
Name

euroCRIS_MM2023Brussels_PID-Network-Germany_ACzerniak_20230531.pdf

Description
PDF presentation
Size

664.5 KB

Format

Adobe PDF

Checksum (MD5)

4471370c2f924518e9a98b69443c1caa

Thumbnail Image
Name

euroCRIS_MM2023Brussels_PID-Network-Germany_abstract.pdf

Description
Extended abstract
Size

37.86 KB

Format

Adobe PDF

Checksum (MD5)

a5cbf2bd83dedb4cd1420ee5d212273c

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