Open government data and file formats: Constraints on collaboration

Anne Washington, David Morar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This exploratory interpretive case study investigated the collaborative potential of open government data available through data.gov, the US federal open data catalog. Open data is a central aspect of open government collaboration because it fosters exchange and communication between governments and the public. Government organizations that release open data make choices about file formats that have a substantial impact on the potential for collaboration. A file format, such as a document or a spreadsheet, is a constraint on which programs can read the file and what actions a user can do with the file. Overall, we found data.gov formats with limited collaboration potential but files that could be accessed by people with a wide range of skills. The findings are incorporated into suggestions for future iterations of open data policy. The advantages and limitations of using file formats for open data research are considered. The exploratory findings raise questions about future user-centric open data evaluations.

Original languageEnglish (US)
Title of host publicationDG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research
Subtitle of host publicationInnovations and Transformations in Government
PublisherAssociation for Computing Machinery
Pages155-159
Number of pages5
VolumePart F128275
ISBN (Electronic)9781450353175
DOIs
StatePublished - Jun 7 2017
Event18th Annual International Conference on Digital Government Research, DG.O 2017 - Staten Island, United States
Duration: Jun 7 2017Jun 9 2017

Other

Other18th Annual International Conference on Digital Government Research, DG.O 2017
CountryUnited States
CityStaten Island
Period6/7/176/9/17

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Spreadsheets
Communication

Keywords

  • Data.gov
  • File formats
  • Open data
  • United States
  • User-centric data

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Washington, A., & Morar, D. (2017). Open government data and file formats: Constraints on collaboration. In DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government (Vol. Part F128275, pp. 155-159). Association for Computing Machinery. https://doi.org/10.1145/3085228.3085232

Open government data and file formats : Constraints on collaboration. / Washington, Anne; Morar, David.

DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Vol. Part F128275 Association for Computing Machinery, 2017. p. 155-159.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Washington, A & Morar, D 2017, Open government data and file formats: Constraints on collaboration. in DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. vol. Part F128275, Association for Computing Machinery, pp. 155-159, 18th Annual International Conference on Digital Government Research, DG.O 2017, Staten Island, United States, 6/7/17. https://doi.org/10.1145/3085228.3085232
Washington A, Morar D. Open government data and file formats: Constraints on collaboration. In DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Vol. Part F128275. Association for Computing Machinery. 2017. p. 155-159 https://doi.org/10.1145/3085228.3085232
Washington, Anne ; Morar, David. / Open government data and file formats : Constraints on collaboration. DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Vol. Part F128275 Association for Computing Machinery, 2017. pp. 155-159
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