25/04/2020

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

Chat Wacharamanotham, Lukas Eisenring, Steve Haroz, Florian Echtler

Keywords: open science, public data sharing, open data, data availability

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

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