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Shaing Code Among Academic Researchers: Lessons Learned

Published: 13 November 2016 Publication History

Abstract

Academic researchers have been collecting data and pro- gramming scripts to process and analyze them for years. Re- searchers have studied the difficulty in sharing data alone, but sharing the scripts required to reproduce results has been discussed less often. At the Collective Action and So- cial Media (CASM) Lab at the Illinois Institute of Technol- ogy, we study how people use social media to engage with their communities. Our interdisciplinary team consists of students with various technical backgrounds. Since everyone in the lab needs to run code, we have developed a standard repository structure. We will share the structure definition and explain the reasoning behind our design decisions. We aim to make our data and code accessible to social scientists not trained in information retrieval, so we frame this paper from that perspective. By publicizing our approach we invite researchers with similar goals to build on our work, collab- orate on the design and implementation of modern tools to share code and data, and to suggest improvements to our process.

References

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Birnholtz, J. P., and Bietz, M. J. Data at Work: Supporting Sharing in Science and Engineering. In Proceedings of the 2003 International ACM SIGGROUP Conference on Supporting Group Work (New York, NY, USA, 2003), GROUP '03, ACM, pp. 339--348.
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Borgman, C. L. Big data, little data, no data: scholarship in the networked world. The MIT Press, Cambridge, Massachusetts, 2015.
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De Roure, D., Goble, C., and Stevens, R. The design and realisation of the Virtual Research Environment for social sharing of workflows. Future Generation Computer Systems 25, 5 (May 2009), 561--567.
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Grudin, J. Groupware and social dynamics: eight challenges for developers. Communications of the ACM 37, 1 (Jan. 1994), 92--105.
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  1. Shaing Code Among Academic Researchers: Lessons Learned

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    cover image ACM Conferences
    GROUP '16: Proceedings of the 2016 ACM International Conference on Supporting Group Work
    November 2016
    534 pages
    ISBN:9781450342766
    DOI:10.1145/2957276
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 13 November 2016

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    Author Tags

    1. code sharing
    2. data reuse
    3. open source
    4. replication

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    GROUP '16
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    GROUP '16: 2016 ACM Conference on Supporting Groupwork
    November 13 - 16, 2016
    Florida, Sanibel Island, USA

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    GROUP '16 Paper Acceptance Rate 36 of 111 submissions, 32%;
    Overall Acceptance Rate 125 of 405 submissions, 31%

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