Breaking Barriers: Workshop on Open Data Practices in AutoUI Research Article Swipe
Patrick Ebel
,
Pavlo Bazilinskyy
,
Angel Hsing‐Chi Hwang
,
Wendy Ju
,
Hauke Sandhaus
,
Aravinda Ramakrishnan Srinivasan
,
Qian Yang
,
Philipp Wintersberger
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3581961.3609835
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3581961.3609835
While the benefits of open science and open data practices are well understood, experimental data sharing is still uncommon in the AutoUI community. The goal of this workshop is to address the current lack of data sharing practices and to promote a culture of openness. By discussing barriers to data sharing, defining best practices, and exploring open data formats, we aim to foster collaboration, improve data quality, and promote transparency. Special interest groups will be formed to identify parameter sets for recurring research topics, so that data collected in different individual studies can be used to generate insights beyond the results of the individual studies. Join us at this workshop to help democratize knowledge and advance research in the AutoUI community.
Related Topics
Concepts
Openness to experience
Transparency (behavior)
Open data
Open science
Data sharing
Computer science
Open research
Best practice
Data science
Data quality
Knowledge management
Research data
Knowledge sharing
World Wide Web
Data curation
Political science
Psychology
Engineering
Computer security
Medicine
Pathology
Social psychology
Operations management
Alternative medicine
Astronomy
Physics
Law
Metric (unit)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3581961.3609835
- OA Status
- gold
- Cited By
- 5
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386691549
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386691549Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3581961.3609835Digital Object Identifier
- Title
-
Breaking Barriers: Workshop on Open Data Practices in AutoUI ResearchWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-12Full publication date if available
- Authors
-
Patrick Ebel, Pavlo Bazilinskyy, Angel Hsing‐Chi Hwang, Wendy Ju, Hauke Sandhaus, Aravinda Ramakrishnan Srinivasan, Qian Yang, Philipp WintersbergerList of authors in order
- Landing page
-
https://doi.org/10.1145/3581961.3609835Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://research.tue.nl/en/publications/278cc3ad-82ca-4599-b1df-cc90e415128aDirect OA link when available
- Concepts
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Openness to experience, Transparency (behavior), Open data, Open science, Data sharing, Computer science, Open research, Best practice, Data science, Data quality, Knowledge management, Research data, Knowledge sharing, World Wide Web, Data curation, Political science, Psychology, Engineering, Computer security, Medicine, Pathology, Social psychology, Operations management, Alternative medicine, Astronomy, Physics, Law, Metric (unit)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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