@inproceedings{strathmann-etal-2026-modelling,
title = "Modelling Legal Compliance in a Consent Wizard Application as Part of a Research-Centered and User-Oriented Data Infrastructure",
author = "Strathmann, Aliena and
Joppek, Marc-Levin and
Mohammadi, Maryam and
Politt, Katja and
Schrader, Paul T. and
Jorschick, Annett B. and
Buschmeier, Hendrik",
editor = {Siegert, Ingo and
Szawerna, Maria Irena and
Choukri, Khalid and
Dobnik, Simon and
Kamocki, Pawe{\l} and
Lindstr{\"o}m Tiedemann, Therese and
Lison, Pierre and
Mu{\~n}oz S{\'a}nchez, Ricardo and
Pil{\'a}n, Ildik{\'o} and
S{\"o}derg{\r{a}}rd, Lisa and
Talmoudi, Kossay and
Volodina, Elena and
Vu, Xuan-Son},
booktitle = "Proceedings of the Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy ({LEGAL}2026 and {CALD}-pseudo 2026) @ {LREC} 2026",
month = may,
year = "2026",
address = "Palma, Mallorca (Spain)",
publisher = "ELRA",
url = "https://aclanthology.org/2026.legal-1.8/",
doi = "10.63317/337ethwah6dq",
pages = "73--80",
abstract = "Recent research calls for data management infrastructures that explicitly operate within the bounds of ethical and legal constraints, and facilitate adherence to Open Science principles by integrating automated support for planning, collection, storage, use, reuse, and sharing of data within. Legal and ethical requirements of data processing have become increasingly complex, introducing administrative barriers to scientific research investigating data generated by human participants, which encompasses a vast majority of humanities research. In response to this, we present RUDI ({``}Research-centered User-oriented Data Infrastructure''), a modular framework grounded in an interdisciplinary approach informed by legal, computational and linguistic expertise. This paper introduces its first component; a configurable and dynamically adaptive consent form generator in the form of a ``wizard'' web application. We outline how legal aspects are modeled within, and highlight its concrete benefits for administrative aspects of research. Further, we discuss the contextualization of data within the research domain by leveraging the use of standardized ontology within the framework."
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<abstract>Recent research calls for data management infrastructures that explicitly operate within the bounds of ethical and legal constraints, and facilitate adherence to Open Science principles by integrating automated support for planning, collection, storage, use, reuse, and sharing of data within. Legal and ethical requirements of data processing have become increasingly complex, introducing administrative barriers to scientific research investigating data generated by human participants, which encompasses a vast majority of humanities research. In response to this, we present RUDI (“Research-centered User-oriented Data Infrastructure”), a modular framework grounded in an interdisciplinary approach informed by legal, computational and linguistic expertise. This paper introduces its first component; a configurable and dynamically adaptive consent form generator in the form of a “wizard” web application. We outline how legal aspects are modeled within, and highlight its concrete benefits for administrative aspects of research. Further, we discuss the contextualization of data within the research domain by leveraging the use of standardized ontology within the framework.</abstract>
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%0 Conference Proceedings
%T Modelling Legal Compliance in a Consent Wizard Application as Part of a Research-Centered and User-Oriented Data Infrastructure
%A Strathmann, Aliena
%A Joppek, Marc-Levin
%A Mohammadi, Maryam
%A Politt, Katja
%A Schrader, Paul T.
%A Jorschick, Annett B.
%A Buschmeier, Hendrik
%Y Siegert, Ingo
%Y Szawerna, Maria Irena
%Y Choukri, Khalid
%Y Dobnik, Simon
%Y Kamocki, Paweł
%Y Lindström Tiedemann, Therese
%Y Lison, Pierre
%Y Muñoz Sánchez, Ricardo
%Y Pilán, Ildikó
%Y Södergård, Lisa
%Y Talmoudi, Kossay
%Y Volodina, Elena
%Y Vu, Xuan-Son
%S Proceedings of the Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy (LEGAL2026 and CALD-pseudo 2026) @ LREC 2026
%D 2026
%8 May
%I ELRA
%C Palma, Mallorca (Spain)
%F strathmann-etal-2026-modelling
%X Recent research calls for data management infrastructures that explicitly operate within the bounds of ethical and legal constraints, and facilitate adherence to Open Science principles by integrating automated support for planning, collection, storage, use, reuse, and sharing of data within. Legal and ethical requirements of data processing have become increasingly complex, introducing administrative barriers to scientific research investigating data generated by human participants, which encompasses a vast majority of humanities research. In response to this, we present RUDI (“Research-centered User-oriented Data Infrastructure”), a modular framework grounded in an interdisciplinary approach informed by legal, computational and linguistic expertise. This paper introduces its first component; a configurable and dynamically adaptive consent form generator in the form of a “wizard” web application. We outline how legal aspects are modeled within, and highlight its concrete benefits for administrative aspects of research. Further, we discuss the contextualization of data within the research domain by leveraging the use of standardized ontology within the framework.
%R 10.63317/337ethwah6dq
%U https://aclanthology.org/2026.legal-1.8/
%U https://doi.org/10.63317/337ethwah6dq
%P 73-80
Markdown (Informal)
[Modelling Legal Compliance in a Consent Wizard Application as Part of a Research-Centered and User-Oriented Data Infrastructure](https://aclanthology.org/2026.legal-1.8/) (Strathmann et al., LEGAL-CALD-pseudo 2026)
ACL
- Aliena Strathmann, Marc-Levin Joppek, Maryam Mohammadi, Katja Politt, Paul T. Schrader, Annett B. Jorschick, and Hendrik Buschmeier. 2026. Modelling Legal Compliance in a Consent Wizard Application as Part of a Research-Centered and User-Oriented Data Infrastructure. In Proceedings of the Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy (LEGAL2026 and CALD-pseudo 2026) @ LREC 2026, pages 73–80, Palma, Mallorca (Spain). ELRA.