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One size does not fit all: New insights into qualitative data sharing

Bochynska, Agata

Abstract

Sharing qualitative data poses many ethical, legal and practical challenges. At the same time, many qualitative datasets, for example rich interview data or video recordings, have a high reuse value and could provide unique benefits for researchers and communities when shared. In this webinar we were joined by three special guests from different disciplines and different areas of qualitative inquiry to discuss the unique contexts in which qualitative data sharing should not only be considered but also encouraged and those where a push for openness can lead to many ethical dilemmas or even harm. Our answer is that one solution simply cannot fit all and qualitative data sharing should be assessed individually, taking into consideration contextual information on the background, method, research tradition and participating communities. At the same time, we also provided here some general suggestions, guidance and/or inspiration for students, researchers and research support staff working with qualitative approaches or data sharing more broadly. Attached are the presentations from the event and below is more detailed information about the speakers and the talks. Speakers Kristian Sandbekk Norsted: Qualitative Research, Data Sharing, and Ethical Engagement in the Age of Big Data This talk examines some of the unique ethical and practical challenges associated with qualitative research data. As demands for openness and data sharing increase across the research landscape, it considers how researchers can address these expectations without compromising ethical integrity. The discussion is framed by current political-economic conditions—drawing on concepts such as surveillance capitalism and technofeudalism—as well as a Humboldtian understanding of scholarship as a public good. Within this context, openness is presented not as a threat, but as an important way to uphold ethical standards in research. Kristian Sandbekk Norsted is a senior advisor at Østfold University College, where he leads the institution’s work on open science. He holds a PhD in cultural anthropology and works at the intersection of research policy, ethics, privacy, and open science. Lindsay Ferrara: Creating an open access, multimedia corpus for Norwegian Sign Language: A benefit to researchers and the deaf community. This talk will consider some of the issues and benefits of creating an open-access linguistic corpus of Norwegian Sign Language. Specifically, Prof. Ferrara will discuss how researchers can ethically collect and archive personal data, share it with academic and other stakeholders, while maintaining integrity and respect for language users. Lindsay Ferrara is a theoretical and applied linguist working at NTNU. She has recently collected and published the first Corpus of Norwegian Sign Language, the language of the Norwegian deaf community, as a way to promote this minority language through documentation and description. Åshild Lappegard Hauge and Sigrun Marie Moss: How regulatory norms meet epistemological and ethical challenges in sharing qualitative interview data In this presentation, we will explain how the epistemological basis for sharing interview data differs in most qualitative approaches from that in quantitative methods. We will discuss different levels of sharing and provide examples of when interview data is too sensitive and context-dependent to share, and when it is historically valuable and necessary to share. Åshild Lappegard Hauge is a professor at the Department of Psychology at the University of Oslo, where she teaches qualitative methods. She works mainly within the field of environmental psychology. She also conducts research on the unintended challenging consequences of Open Science on qualitative methods, in the research project ReDemOS. Sigrun Marie Moss is a professor at the Department of Psychology at the University of Oslo, where she teaches cultural psychology and qualitative methods. She works mainly within the field of cultural and political psychology. She also conducts research on the unintended challenging consequences of Open Science on qualitative methods, in the research project ReDemOS. Event organisers University of Oslo ReDemOS project, Norwegian University of Science and Technology, Østfold University College Host: Agata Bochynska Co-host: Dag-Even Martinsen Torsøe

Full text

Creating an open-access, multimedia corpus for Norwegian Sign Language: A benefit to researchers and the deaf community Prof. Lindsay Ferrara Norwegian University of Science and Technology 20 October 2025; Open Access Week Outline •Introduce the Norwegian Sign Language Corpus •Collecting non-anonymized data in the age of GDPR •Gaining consent and building trust with research participants/language users •Creating open access resources that benefit both the academic community and the Norwegian deaf community The Norwegian Sign Language Corpus (2019-2025) •The corpus is a group of four datasets: •2012: Ph.D. dissertation research (Halvorsen, 2012) •2015: Pilot corpus project (Ferrara & Bø, 2015) •2017-2018: Project investigating spatial language (Ferrara & Ringsø, 2017-2018) •2020-2025: Project to collect a more representative corpus (Ferrara 2024) •Current size of the corpus: •100+ signers •60+ hours of signing •650 video clips •410 associated ELAN files •Various additional file(types) Collecting non-anonymous + personal data Consent process •Consent is one important way that we can protect the interests of research participants/language users, in a respectful and ethical way. •Providing information in accessible language formats •Re-consent process for participants of earlier projects. Open data: benefitting research and language communities Language community •The data with a CC license can be used to create teaching materials for various deaf and hearing groups. •Support the development of other language resources, like a dictionary. •Documentation of one part of Norway’s rich linguistic heritage Research community •The time-consuming and resource intensive annotation of signed language data is mitigated and minimized •Language users avoid research fatigue •Provides a sound, empirical base to a body of research studies Thank you [email protected]