Refine
Document Type
- Article (1)
- Part of a Book (1)
- Other (1)
Language
- English (3)
Has Fulltext
- yes (3)
Keywords
- research data (3) (remove)
Publicationstate
- Veröffentlichungsversion (3) (remove)
Reviewstate
- Peer-Review (3)
Publisher
- MDPI (1)
- Suomen soveltavan kielitieteen yhdistys AFinLA (1)
- Zenodo (1)
The theme of the AFinLA 2020 Yearbook Methodological turns in applied language studies is discussed in this introductory article from three interrelated perspectives, variously addressed in the three plenary presentations at the AFinLA Autumn Symposium 2019 as well as in the thirteen contributions to the yearbook. In the first set of articles presented, the authors examine the role and impact of technological development on the study of multimodal digital and non-digital contexts and discourses and ensuing new methods. The second set of studies in the yearbook revisits issues of language proficiency, critically discussing relevant concepts and approaches. The third set of articles explores participation and participatory research approaches, reflecting on the roles of the researcher and the researched community.
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.
"Reproducibility crisis" and "empirical turn" are only two keywords when it comes to providing reasons for research data management. Research data is omnipresent and with the more and more automatic data processing procedures, they become even more important. However, just because new methods require data and produce data, this does not mean that data are easily accessible, reusable or even make a difference in the CV of a researcher, even if a large portion of research goes into data creation, acquisition, preparation, and analysis. In this talk I will present where we find data in the research process, where we may find appropriate support for data management and advocate for a procedure for including it in research publications and resumes.
This presentation relies on work within the BMBF-funded project CLARIN-D. It also builds on work within the German National Research Data Infrastructure (NFDI) consortium Text+, DFG project number 460033370.