Transparency of CHI Research Artifacts: Results of a Self-Reported Survey

要旨

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.<br>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.<br>This paper and all data and materials are freely available at https://osf.io/3bu6t.

受賞
Best Paper
キーワード
Open Science
public data sharing
open data
data availability
著者
Chat Wacharamanotham
University of Zürich, Zürich, Switzerland
Lukas Eisenring
University of Zürich, Zürich, Switzerland
Steve Haroz
Université Paris-Saclay, Inria, Saclay, France
Florian Echtler
Bauhaus-Universität Weimar, Weimar, Germany
DOI

10.1145/3313831.3376448

論文URL

https://doi.org/10.1145/3313831.3376448

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Research practices & methods

Paper session
316A MAUI
5 件の発表
2020-04-28 01:00:00
2020-04-28 02:15:00
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