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Designing for Real-Time Groupware Systems to Support Complex Scientific Data Analysis

Authors:

Golam Mostaeen,

Kevin SchneiderAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 3, Issue EICS

Article No.: 9, Pages 1 - 28

https://doi.org/10.1145/3331151

Published: 13 June 2019 Publication History

Abstract

Scientific Workflow Management Systems (SWfMSs) have become popular for accelerating the specification, execution, visualization, and monitoring of data-intensive scientific experiments. Unfortunately, to the best of our knowledge no existing SWfMSs directly support collaboration. Data is increasing in complexity, dimensionality, and volume, and the efficient analysis of data often goes beyond the realm of an individual and requires collaboration with multiple researchers from varying domains. In this paper, we propose a groupware system architecture for data analysis that in addition to supporting collaboration, also incorporates features from SWfMSs to support modern data analysis processes. As a proof of concept for the proposed architecture we developed SciWorCS - a groupware system for scientific data analysis. We present two real-world use-cases: collaborative software repository analysis and bioinformatics data analysis. The results of the experiments evaluating the proposed system are promising. Our bioinformatics user study demonstrates that SciWorCS can leverage real-world data analysis tasks by supporting real-time collaboration among users.

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Cited By

Muralikumar MMcDonald D(2024)Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/MLProceedings of the ACM on Human-Computer Interaction10.1145/36869868:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686986
Hossain MRoy BRoy CSchneider K(2023)Extensibility Challenges of Scientific Workflow Management SystemsHuman Interface and the Management of Information10.1007/978-3-031-35129-7_4(51-70)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35129-7_4
AbediniAla MRoy B(2022)Facilitating Asynchronous Collaboration in Scientific Workflow Composition Using ProvenanceProceedings of the ACM on Human-Computer Interaction10.1145/35345206:EICS(1-26)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534520
Show More Cited By

Index Terms

Designing for Real-Time Groupware Systems to Support Complex Scientific Data Analysis
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Real-time systems software

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 3, Issue EICS

June 2019

553 pages

EISSN:2573-0142

DOI:10.1145/3340630

Editors:
Cliff Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
,
Andres Monroy-Hernandez
Microsoft Research
,
Wolfgang Stuerzlinger
Simon Fraser University

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Published: 13 June 2019

Published in PACMHCI Volume 3, Issue EICS

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Cited By

Muralikumar MMcDonald D(2024)Analyzing Collaborative Challenges and Needs of UX Practitioners when Designing with AI/MLProceedings of the ACM on Human-Computer Interaction10.1145/36869868:CSCW2(1-25)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686986
Hossain MRoy BRoy CSchneider K(2023)Extensibility Challenges of Scientific Workflow Management SystemsHuman Interface and the Management of Information10.1007/978-3-031-35129-7_4(51-70)Online publication date: 23-Jul-2023
https://dl.acm.org/doi/10.1007/978-3-031-35129-7_4
AbediniAla MRoy B(2022)Facilitating Asynchronous Collaboration in Scientific Workflow Composition Using ProvenanceProceedings of the ACM on Human-Computer Interaction10.1145/35345206:EICS(1-26)Online publication date: 17-Jun-2022
https://dl.acm.org/doi/10.1145/3534520
Chakroborti DRoy BNath S(2021)Designing for Recommending Intermediate States in A Scientific Workflow Management SystemProceedings of the ACM on Human-Computer Interaction10.1145/34571455:EICS(1-29)Online publication date: 29-May-2021
https://dl.acm.org/doi/10.1145/3457145

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