CLARIAH-DE Cross-Service Search : Prospects and Benefits of Merging Subject-specific Services



Faculty/Professorship: Media Informatics  
Author(s): Eckart, Thomas; Gradl, Tobias  ; Jegan, Robin  ; Margaretha, Eliza; Werthmann, Antonina; Helfer, Felix; Buddenbohm, Stefan
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2021
Pages: 29
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URL: https://fis.uni-bamberg.de/handle/uniba/51791
http://nbn-resolving.de/urn:nbn:de:gbv:7-dariah...
Abstract: 
CLARIAH-DE combines services and offerings of CLARIN-D and DARIAH-DE. This includes various search applications which are made directly available to researchers. These search applications are presented in this working paper based on their main characteristics and compared with a focus on possible harmonizations. Opportunities and risks of different forms of technical integration are highlighted. Identified challenges can be explained in particular considering the background of different organizational and technical frameworks as well as highly specific and discipline-dependent requirements. The integration work that has already been carried out and the experiences gained with regard to future work and possible integration of further applications are also discussed. The experiences made in CLARIAH-DE can especially be of interest for other projects in the field of digital research infrastructures
GND Keywords: Suchverfahren; Forschungsdaten
Keywords: Digital research infrastructure, search systems, service integration, metadata, CLARIAH-DE, CLARIN, DARIAH
DDC Classification: 004 Computer science  
RVK Classification: ST 302   
Type: Workingpaper
URI: https://fis.uni-bamberg.de/handle/uniba/51559
Release Date: 18. November 2021
Project: CLARIAH-DE - Zusammenführung der Forschungsinfrastrukturen CLARIN-D und DARIAH-DE
DARIAH-DE - Überführung der digitalen Forschungsinfrastrukturen für die e-Humanities in die Operational Phase (Betriebsphase). Teilprojekt: Forschungsorientierte Datenförderation

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