Documenting Data Production Processes: A Participatory Approach for Data Work

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dc.contributor.authorMiceli, Milagros
dc.contributor.authorYang, Tianling
dc.contributor.authorAlvarado Garcia, Adriana
dc.contributor.authorPosada, Julian
dc.contributor.authorWang, Sonja Mei
dc.contributor.authorPohl,Marc
dc.contributor.authorHanna, Alex
dc.date.accessioned2023-09-19T15:38:48Z
dc.date.available2023-09-19T15:38:48Z
dc.date.issued2022
dc.description.abstractThe opacity of machine learning data is a significant threat to ethical data work and intelligible systems. Previous research has addressed this issue by proposing standardized checklists to document datasets. This paper expands that field of inquiry by proposing a shift of perspective: from documenting datasets towards documenting data production. We draw on participatory design and collaborate with data workers at two companies located in Bulgaria and Argentina, where the collection and annotation of data for machine learning are outsourced. Our investigation comprises 2.5 years of research, including 33 semi-structured interviews, five co-design workshops, the development of prototypes, and several feedback instances with participants. We identify key challenges and requirements related to the integration of documentation practices in real-world data production scenarios. Our findings comprise important design considerations and highlight the value of designing data documentation based on the needs of data workers. We argue that a view of documentation as a boundary object, i.e., an object that can be used differently across organizations and teams but holds enough immutable content to maintain integrity, can be useful when designing documentation to retrieve heterogeneous, often distributed, contexts of data production.
dc.identifier.citationMiceli, M., Yang, T., Alvarado Garcia, A., Posada, J., Wang, S. M., Pohl, M., & Hanna, A. (2022). Documenting Data Production Processes: A Participatory Approach for Data Work. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1–34. https://doi.org/10.1145/3555623
dc.identifier.doihttps://doi.org/10.1145/3555623
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/347
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectdataset documentation
dc.subjectdata production
dc.subjectdata work
dc.subjectdata labeling
dc.subjectdata annotation
dc.subjectmachine learning
dc.subjecttransparency
dc.titleDocumenting Data Production Processes: A Participatory Approach for Data Work
dc.typeConferencePaper
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.booktitleProceedings of the ACM on Human-Computer Interaction
local.researchgroupDaten, algorithmische Systeme und Ethik
local.researchtopicDigitale Technologien in der Gesellschaft
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