User Support for the Digital Humanities

Sambale, Heidemarie; Hedeland, Hanna; Pirinen, Tommi A.

doi:10.3384/ecp2020172014

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“…The HZSK provided first line support and administration of incoming inquiries among the other eight CLARIN-D centres. Supporting researchers with advice and training in all questions related to data management across the research data lifecycle has proven to be a crucial complement to providing the necessary technical infrastructure, and over the years an increasing number of support areas were integrated into the help desk at the HZSK [9]. Since 2018, the HZSK also provides its expertise internationally in cooperation with several well-known partners via the CLARIN Knowledge Centre on Linguistic Diversity and Language Documentation (CKLD) [10].…”

Section: Background and Basic Conceptsmentioning

confidence: 99%

Providing Digital Infrastructure for Audio-Visual Linguistic Research Data with Diverse Usage Scenarios: Lessons Learnt

Hedeland

2020

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This article describes the development of the digital infrastructure at a research data centre for audio-visual linguistic research data, the Hamburg Centre for Language Corpora (HZSK) at the University of Hamburg in Germany, over the past ten years. The typical resource hosted in the HZSK Repository, the core component of the infrastructure, is a collection of recordings with time-aligned transcripts and additional contextual data, a spoken language corpus. Since the centre has a thematic focus on multilingualism and linguistic diversity and provides its service to researchers within linguistics and other disciplines, the development of the infrastructure was driven by diverse usage scenarios and user needs on the one hand, and by the common technical requirements for certified service centres of the CLARIN infrastructure on the other. Beyond the technical details, the article also aims to be a contribution to the discussion on responsibilities and services within emerging digital research data infrastructures and the fundamental issues in sustainability of research software engineering, concluding that in order to truly cater to user needs across the research data lifecycle, we still need to bridge the gap between discipline-specific research methods in the process of digitalisation and generic digital research data management approaches.

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Section: Background and Basic Conceptsmentioning

confidence: 99%