Towards Sustainable Research Data Management in Human-Computer Interaction

TL;DR

This paper explores how to improve research data management in HCI by applying the FAIR principles, involving the community, and enhancing infrastructure for better data reuse and publication processes.

Contribution

It identifies key aspects and challenges of RDM in HCI, proposing to extend existing approaches to fully implement FAIR principles and promote community involvement.

Findings

Highlighting the importance of FAIR principles in HCI RDM

Identifying gaps in current RDM practices for HCI

Proposing community involvement to improve data reuse

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.