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Towards Sustainable Research Data Management in Human-Computer Interaction

David Goedicke, Mark Colley, Sebastian S. Feger, Michael Goedicke, Bastian Pfleging, Wendy Ju

TL;DR

The paper addresses the challenges of Research Data Management in Human-Computer Interaction, emphasizing privacy, heterogeneity, and long-term preservation that enable reuse. It surveys existing initiatives (US NSF, German NFDI) and emerging incentives such as Open Science Badges and automated FAIR scoring, then analyzes how widely FAIR practices are adopted in HCI literature. A roadmap is proposed to move the field forward, combining bottom-up education and stewardship with top-down mandates and funding requirements, supported by standardized metadata, RDMC containers, and governance. The work highlights the potential for improved reproducibility, visibility, and sustainability of HCI research through community-defined standards and interoperable infrastructures.

Abstract

We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various context elements of RDM for HCI are discussed, including examples of existing and emerging infrastructures for RDM. We briefly discuss existing approaches and come up with additional aspects which need to be addressed. This is to apply the so-called FAIR principle fully, which -- besides being findable and accessible -- also includes interoperability and reusability. We also discuss briefly the kind of research data types that play a role here and propose to build on existing work and involve the HCI scientific community to improve current practices.

Towards Sustainable Research Data Management in Human-Computer Interaction

TL;DR

The paper addresses the challenges of Research Data Management in Human-Computer Interaction, emphasizing privacy, heterogeneity, and long-term preservation that enable reuse. It surveys existing initiatives (US NSF, German NFDI) and emerging incentives such as Open Science Badges and automated FAIR scoring, then analyzes how widely FAIR practices are adopted in HCI literature. A roadmap is proposed to move the field forward, combining bottom-up education and stewardship with top-down mandates and funding requirements, supported by standardized metadata, RDMC containers, and governance. The work highlights the potential for improved reproducibility, visibility, and sustainability of HCI research through community-defined standards and interoperable infrastructures.

Abstract

We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various context elements of RDM for HCI are discussed, including examples of existing and emerging infrastructures for RDM. We briefly discuss existing approaches and come up with additional aspects which need to be addressed. This is to apply the so-called FAIR principle fully, which -- besides being findable and accessible -- also includes interoperability and reusability. We also discuss briefly the kind of research data types that play a role here and propose to build on existing work and involve the HCI scientific community to improve current practices.
Paper Structure (17 sections, 3 figures, 1 table)

This paper contains 17 sections, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. Research Data in HCI
  3. Human Participant Data
  4. Artifacts
  5. Contextual information
  6. Research Data Management in HCI
  7. Existing Methods and Opportunities for RDM
  8. National Science Foundation and US Efforts
  9. Nationale Forschungsdateninfrastruktur
  10. Adoption of Science Badges
  11. Analysis of Availability in HCI
  12. Use of Automated FAIR scoring
  13. Ways to Move Forward
  14. Incentives
  15. Mandates
  16. ...and 2 more sections

Figures (3)

  • Figure 1: Badges used to incentivize and reward comprehensive RDM and openness. (a) Generic Open Science badges; (b) ACM badges.
  • Figure 2: (a) Tailored Science Badges proposed to match reproducible research requirements in particle physics; (b) Overview of the ACM badges on the ACM Digital Library for the search query "Open Science HCI".
  • Figure 3: An example of automated FAIR scoring and display in agricultural science at CGIAR.