Abstract

The foundation of data oriented scientific collaboration is the ability for participants to find, access, and reuse data curated during the course of an investigation. Databases are well suited to representing scientific domain models and managing metadata. However, direct access to databases is impractical as scientists have little training in database languages. In addition, scientific investigations are highly diverse, varying in methodology, data type, and contextual detail, while the structure, type, and usage of data change over time as investigations unfold. Specialized, bespoke solutions are too costly for most projects. Instead, we propose an adaptive, model-driven graphical user interface approach which supports broad classes of dynamic scientific collaboration. We describe our approach and describe its implementation in Chaise, a suite of web applications providing users the means to search, browse, edit …

Date

October 30, 2025

Authors

Hongsuda Tangmunarunkit, Aref Shafaeibejestan, Joshua Chudy, Karl Czajkowski, Robert Schuler, Carl Kesselman