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Three Gaps in Opening Science

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Abstract

The Open Science (OS) agenda has potentially massive cultural, organizational and infrastructural consequences. Ambitions for OS-driven policies have proliferated, within which researchers are expected to publish their scientific data. Significant research has been devoted to studying the issues associated with managing Open Research Data. Digital curation, as it is typically known, seeks to assess data management issues to ensure its long-term value and encourage secondary use. Hitherto, relatively little interest has been shown in examining the immense gap that exists between the OS grand vision and researchers’ actual data practices. Our specific contribution is to examine research data practices before systematic attempts at curation are made. We suggest that interdisciplinary ethnographically-driven contexts offer a perspicuous opportunity to understand the Data Curation and Research Data Management issues that can problematize uptake. These relate to obvious discrepancies between Open Research Data policies and subject-specific research practices and needs. Not least, it opens up questions about how data is constituted in different disciplinary and interdisciplinary contexts. We present a detailed empirical account of interdisciplinary ethnographically-driven research contexts in order to clarify critical aspects of the OS agenda and how to realize its benefits, highlighting three gaps: between policy and practice, in knowledge, and in tool use and development.

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Notes

  1. European Commission, Public Consultation: ‘SCIENCE 2.0’: SCIENCE IN TRANSITION. Available at: http://ec.europa.eu/research/consultations/science-2.0/background.pdf (searched at 02.09.2018)

  2. Budapest Open Access Initiative, 2001; Panton Principles, 2009; Amsterdam Call for Action on Open Science presented to Dutch Presidency of the Council of the European Union, May 2016. (Search date 22.09.2018)

  3. Dataverse, FigShare, Dryad, Mendeley Data, Zenodo, DataHub, DANS, and EUDat. These digital repository systems are used by social science data archives and may be implemented locally, though they are not open source and may involve payment. They offer a range of data management and online data analysis features.

  4. Wikipedia re. “e-Science” (search date 04.10.2018)

  5. DDC website: http://www.dcc.ac.uk/about-us/history-dcc/history-dcc (search date 10.10.2018)

  6. https://alimanfoo.wordpress.com/category/the-imagestore-project/ (search date 10.09.2018)

  7. Open Knowledge definition. Source: http://opendefinition.org/. (search date 4.02.2019)

  8. Collaborative Research Centre (CRC), source: http://www.dfg.de/en/research_funding/programmes/coordinated_programmes/collaborative_research_centres/. (search date 4.02.2019)

  9. Anonymized

  10. Further information on https://www.sciebo.de/.

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Acknowledgements

This research has been possible thanks to the engagement of many scholars, the CRC “Media of Cooperation” organization board and the IT service provider with whom we have worked with and learned from. The findings in this paper originate from the project INF funded by a grant of the DFG (SFB 1187).

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  1. University of Siegen, Siegen, Germany

    Gaia Mosconi, Qinyu Li, Dave Randall, Helena Karasti, Peter Tolmie, Jana Barutzky, Matthias Korn & Volkmar Pipek

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Mosconi, G., Li, Q., Randall, D. et al. Three Gaps in Opening Science. Comput Supported Coop Work 28, 749–789 (2019). https://doi.org/10.1007/s10606-019-09354-z

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