Learning from Data Journeys
dc.contributor.author | Leonelli, S | |
dc.date.accessioned | 2020-01-31T16:07:23Z | |
dc.date.issued | 2020-06-30 | |
dc.description.abstract | This chapter discusses the idea of data journeys as an investigative tool and a theoretical framework for this volume and broader scholarship on data. Building on a relational and historicized understanding of data as lineages, I reflect on the methodological, conceptual and social challenges involved in mapping, analysing and comparing the production, movement and use of data within and across research fields - and some of the strategies developed to cope with such difficulties. I then provide an overview of the significant variation among the data practices garnered in this volume. Specific nodes of difference and similarity across data journeys are identified, while also emphasising the extent to which such commonalities are dependent on specific situations of inquiry. In closing, I highlight the significance of this approach towards addressing concerns raised by data-centric science and the emergence of big and open data. | en_GB |
dc.description.sponsorship | European Commission | en_GB |
dc.description.sponsorship | Alan Turing Institute | en_GB |
dc.identifier.citation | In: Data Journeys in the Sciences, edited by Sabina Leonelli and Niccolò Tempini, pp. 1-24 | en_GB |
dc.identifier.doi | 10.1007/978-3-030-37177-7_1 | |
dc.identifier.uri | http://hdl.handle.net/10871/40678 | |
dc.language.iso | en | en_GB |
dc.publisher | Springer | en_GB |
dc.rights | © The Author(s) 2020. Open Access. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. | |
dc.title | Learning from Data Journeys | en_GB |
dc.type | Book chapter | en_GB |
dc.date.available | 2020-01-31T16:07:23Z | |
dc.contributor.editor | Leonelli, S | en_GB |
dc.contributor.editor | Tempini, N | en_GB |
dc.identifier.isbn | 978-3-030-37177-7 | |
dc.relation.isPartOf | Data Journeys in the Sciences | en_GB |
dc.description | This is the final version. Available on open access from Springer via the DOI in this record | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
exeter.funder | ::European Commission | en_GB |
exeter.funder | ::Alan Turing Institute | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-03-29 | |
rioxxterms.type | Book chapter | en_GB |
refterms.dateFCD | 2020-01-31T16:06:11Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-09-11T13:57:54Z |
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Open Access.
This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.