OBI-PIA data set - Ontology-Based method for Interdisciplinary Data Protection Impact Assessment

IntroductionThis dataset comprises of different materials of the OBI-PIA project. Materials includes: semi-structure interviews material, user stories, the ontology artifacts, data analysis results and others. Each material has an explanation below.Semi-structured interviewsPart of the data set includes the semi-structured interviews conducted with domain experts in data protection and privacy regulations from various jurisdictions. All interviewees have formal legal education or are recognized as experts in the domain (ex: data protection authority, known authors/speakers). The purpose of the interviews is to identify common and divergent data protection regulatory requirements that impact transborder personal data flows and compliance in multiple systems, alongside other issues in the SDLC (such as communication, collaboration). The interviewees tangintly research about international aspects such as the Brussels Effect and the conceptualization of data minimization. The database includes transcripts of expert interviews that have been made publicly available, upon informed and explicit consent from the participants. By default, all interviews are anonymized to protect the identity of the participants and to reduce potential bias during analysis. Other interviews may be available upon request, and other are kept confidential depending on the participants consent. The (public) files have been named in the following manner: [COUNTRY OF EXPERTISE]-[Random letters]. This way, when referring to the specific participants, we can identify them this way within the project files. All other interviews and the results reported in papers does not use this identification rule to avoid re-identification of participants who did not want to be identified. Transcripts were done with AI models upon the consent of the subject. The section in bold represent the interviewer, and normal font is the interviewee. For more details on the transcription purpose, you can check here [unavailable for reviewing reasons] In addition we have included a detailed codebook used to support qualitative analysis. The codebook provides definitions for each code used. When new codes emerged, these were added to the codebook with appropriate annotation (ex: labelled as new), including a definition and possibly verbatims. The guiding semi-structured interview and blinded consent form are included. The privacy policy and information notice sheet is not included for reviewing reason, until the data set is made public. Interview anlaysis The interview analysis was done in MaxQDA. These results can be found in directory 03-Data-Analysis, including the codebook. For the (accepted) paper at ESEM 2026, the analysis is in 03-Data-Analysis > 01-ESEM2026-Paper For notation purposes, we use the following acronyms: EU : Europe/ European Union NA: North America SA: South America AF: Africa AS-OC: Asia and Oceania Regulation analysis and codebook The regulation codebook and notation under the SCA research method are found in directory 03-Data-Analysis > 03-Journal-Paper-Conceptualization > Regulation-notation. There are two Excel files, one for the whole regulation and another one for coding the type of information the privacy notice should contain. Each has the corresponding codebook attached. The file 'Regulation-analysis-codebook-notation' contains a README that provides more information. Given the number of sources used to analyze the regulation, a dedicated PDF was created ('sources-regulation-notation'), which contains all sources used for this section.DPO Stories All the DPO stories, including their recommended label in the Enterprise Architecture framework and Software Development Lifecycle, are included here. The AQUSA scores are also included. The ontology documents The ontology documents supporting the publication 'A Jurisdiction-Agnostic Ontology for Regulatory Data Protection Requirements' can be found in the directory 04-Ontology-Documents. We provide a full view of the ontology, then partioned views and supporting documents of the ontology. Further development is expected. Contact information and other This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions grant agreement 101081455. For more information, please contact Dr.Claudia NEGRI-RIBALTA at claudia[.]negriribalta[at]uni[.]lu. More contact information https://www.uni.lu/fhse-en/people/claudia-negri-ribalta/Update to V.5 Updated documents Added the qualitatives codes frequency Change of style: files are now presented in a .zip rather than on their own Ontology documents and supporting material added DPO stories added Regulation notation - including the notebook - added