Conference Paper/Proceeding/Abstract 252 views
Transparency of CHI Research Artifacts: Results of a Self-Reported Survey
,
Lukas Eisenring,
Steve Haroz,
Florian Echtler
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Pages: 1 - 14
Swansea University Author:
Chat Wacharamanotham
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1145/3313831.3376448
Abstract
Several fields of science are experiencing a “replication crisis” that has negatively impacted their credibility. Assessing the validity of a contribution via replicability of its experimental evidence and reproducibility of its analyses requires access to relevant study materials, data, and code. Fa...
| Published in: | Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
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| ISBN: | 978-1-4503-6708-0 |
| Published: |
New York, NY, USA
ACM
2020
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa60607 |
| Tags: |
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| Abstract: |
Several fields of science are experiencing a “replication crisis” that has negatively impacted their credibility. Assessing the validity of a contribution via replicability of its experimental evidence and reproducibility of its analyses requires access to relevant study materials, data, and code. Failing to share them limits the ability to scrutinize or build-upon the research, ultimately hindering scientific progress.Understanding how the diverse research artifacts in HCI impact sharing can help produce informed recommendations for individual researchers and policy-makers in HCI. Therefore, we surveyed authors of CHI 2018–2019 papers, asking if they share their papers’ research materials and data, how they share them, and why they do not. The results (34% response rate) show that sharing is uncommon, partly due to misunderstandings about the purpose of sharing and reliable hosting. We conclude with recommendations for fostering open research practices.This paper and all data and materials are freely available at https://osf.io/3bu6t. |
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| Keywords: |
Open Science, public data sharing, open data, data availability |
| College: |
Faculty of Science and Engineering |
| Start Page: |
1 |
| End Page: |
14 |