Article

Data at work: supporting sharing in science and engineering

Authors:

Jeremy P. Birnholtz,

Matthew J. BietzAuthors Info & Claims

GROUP '03: Proceedings of the 2003 ACM International Conference on Supporting Group Work

Pages 339 - 348

https://doi.org/10.1145/958160.958215

Published: 09 November 2003 Publication History

Abstract

Data are a fundamental component of science and engineering work, and the ability to share data is critical to the validation and progress of science. Data sharing and reuse in some fields, however, has proven to be a difficult problem. This paper argues that the development of effective CSCW systems to support data sharing in work groups requires a better understanding of the use of data in practice. Drawing on our work with three scientific disciplines, we show that data play two general roles in scientific communities: 1) they serve as evidence to support scientific inquiry, and 2) they make a social contribution to the establishment and maintenance of communities of practice. A clearer consideration and understanding of these roles can contribute to the design of more effective data sharing systems. We suggest that this can be achieved through supporting social interaction around data abstractions, reaching beyond current metadata models, and supporting the social roles of data.

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Cited By

Huvila ISinnamon L(2024)When data sharing is an answer and when (often) it is not: Acknowledging data‐driven, non‐data, and data‐decentered culturesJournal of the Association for Information Science and Technology10.1002/asi.24957Online publication date: 11-Oct-2024
https://doi.org/10.1002/asi.24957
Mosconi Gde Carvalho ASyed HRandall DKarasti HPipek V(2023)Fostering Research Data Management in Collaborative Research Contexts: Lessons learnt from an ‘Embedded’ Evaluation of ‘Data Story’Computer Supported Cooperative Work10.1007/s10606-023-09467-632:4(911-949)Online publication date: 15-May-2023
https://dl.acm.org/doi/10.1007/s10606-023-09467-6
Huvila I(2022)Improving the usefulness of research data with better paradataOpen Information Science10.1515/opis-2022-01296:1(28-48)Online publication date: 18-Apr-2022
https://doi.org/10.1515/opis-2022-0129
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Index Terms

Data at work: supporting sharing in science and engineering
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

cover image ACM Conferences

GROUP '03: Proceedings of the 2003 ACM International Conference on Supporting Group Work

November 2003

390 pages

ISBN:1581136935

DOI:10.1145/958160

Conference Chairs:
Kjeld Schmidt
IT University of Copenhagen, Denmark
,
Mark Pendergast
Florida Gulf Coast University, USA
,
Program Chairs:
Marilyn Tremaine
New Jersey Institute of Technology, USA
,
Carla Simone
Universita' di Milano Bicocca, Italy

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 09 November 2003

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Cited By

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https://doi.org/10.1002/asi.24957
Mosconi Gde Carvalho ASyed HRandall DKarasti HPipek V(2023)Fostering Research Data Management in Collaborative Research Contexts: Lessons learnt from an ‘Embedded’ Evaluation of ‘Data Story’Computer Supported Cooperative Work10.1007/s10606-023-09467-632:4(911-949)Online publication date: 15-May-2023
https://dl.acm.org/doi/10.1007/s10606-023-09467-6
Huvila I(2022)Improving the usefulness of research data with better paradataOpen Information Science10.1515/opis-2022-01296:1(28-48)Online publication date: 18-Apr-2022
https://doi.org/10.1515/opis-2022-0129
Mosconi GRandall DKarasti HAljuneidi SYu TTolmie PPipek V(2022)Designing a Data Story: A Storytelling Approach to Curation, Sharing and Data Reuse in Support of Ethnographically-driven ResearchProceedings of the ACM on Human-Computer Interaction10.1145/35551806:CSCW2(1-23)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555180
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Hemphill LPienta ALafia SAkmon DBleckley D(2022)How do properties of data, their curation, and their funding relate to reuse?Journal of the Association for Information Science and Technology10.1002/asi.2464673:10(1432-1444)Online publication date: 23-Mar-2022
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Ghoshal DPaine DPastorello GElbashandy AGunter DAmusat ORamakrishnan LLofstead JMaltzahn CJimenez I(2021)Experiences with ReproducibilityProceedings of the 4th International Workshop on Practical Reproducible Evaluation of Computer Systems10.1145/3456287.3465478(3-8)Online publication date: 21-Jun-2021
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