I (Don't) Know What You Did Last Summer: A Framework for Ubiquitous Research Preservation
Paper in proceeding, 2023

Research preservation is a pillar for knowledge transfer, science reproducibility and saving time by reusing existing resources. However, human compliance with efficient capturing strategies is a key barrier to creating complete scientific repositories. To circumvent this issue, we introduce the term: Ubiquitous Research Preservation (URP), describing automated knowledge capturing and retrieval in computational science. We also propose a framework composed of three models for designing URP systems (URPS) to 1) understand users' interaction and data governance, 2) propose technical pipelines for data management, and 3) understand users' sharing practices. Our work is a theoretical reflection on our past experiences in designing URPS. We plan future evaluation by using the framework to analyze existing URPS. We expect a positive impact from using URPS on researchers' sense-making and ability to share findings and resources. Our framework is a checklist for design decisions needed to build successful URPS.

Training

Ubiquitous Research Preservation

Sensemaking

Reproducibility

Computational Science

Author

Passant Elagroudy

Ludwig Maximilian University of Munich (LMU)

Deutsches Forschungszentrum fur Kunstliche Intelligenz

Pascal Knierim

Bundeswehr University Munich

Albrecht Schmidt

Ludwig Maximilian University of Munich (LMU)

Paweł W. Woźniak

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Sebastian Stefan Feger

Ludwig Maximilian University of Munich (LMU)

Conference on Human Factors in Computing Systems - Proceedings

164
9781450394222 (ISBN)

2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Hamburg, Germany,

Subject Categories

Computer and Information Science

DOI

10.1145/3544549.3585754

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