Learning from our users: reminding us of the value of keeping humans-in-the-loop

The value of engagement was reiterated emphatically in recent rounds of researcher consultation around research data management and data storage support. These consultations demonstrated researcher recognition of good engagement, and examples of seeking and finding the support they need informally in its absence. This evidence will inform service models and tools that are user-centred, while we face the challenge of balancing easy access and quality support. The University Library committed to achieving our 2023 to 2025 priorities in a ways that are user centred and evidence based . To this end, we conducted focus group and individual consultations as part of preparation of our re-designed Research Data Management Support Model. In 2024 ITDS and Library personnel collaborated on a human-centred problem solving method to inform improvements to user-facing communications and data storage request processes. Qualitative data collected through both projects demonstrated the value of user engagement in effective delivery of digital services, and unexpectedly delivered multiple examples of users establishing their own informal engagement-style relationships. This short talk will share brief examples, and indicate how user consultation is informing updates to service models.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.15293619
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Learning from our users: reminding us of the value of keeping humans-in-the-loop

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Learning from our users: reminding us of the value of keeping humans-in-the-loop

article en

Abstract

The value of engagement was reiterated emphatically in recent rounds of researcher consultation around research data management and data storage support. These consultations demonstrated researcher recognition of good engagement, and examples of seeking and finding the support they need informally in its absence. This evidence will inform service models and tools that are user-centred, while we face the challenge of balancing easy access and quality support. The University Library committed to achieving our 2023 to 2025 priorities in a ways that are user centred and evidence based . To this end, we conducted focus group and individual consultations as part of preparation of our re-designed Research Data Management Support Model. In 2024 ITDS and Library personnel collaborated on a human-centred problem solving method to inform improvements to user-facing communications and data storage request processes. Qualitative data collected through both projects demonstrated the value of user engagement in effective delivery of digital services, and unexpectedly delivered multiple examples of users establishing their own informal engagement-style relationships. This short talk will share brief examples, and indicate how user consultation is informing updates to service models.

Zenodo (CERN European Organization for Nuclear Research)
The University of Adelaide (AU)
Openalex Percentile: Top 35%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Learning from our users: reminding us of the value of keeping humans-in-the-loop · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS