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dc.contributor.authorTempini, N
dc.date.accessioned2016-12-09T09:40:41Z
dc.date.accessioned2017-03-10T12:13:31Z
dc.date.issued2016-12
dc.description.abstractThis paper talks about ways in which infrastructure for biomedical data-intensive discovery is operationalized. Specifically, it is interested in information security solutions and how the processes of scientific research through data-intensive infrastructures are shaped by them. The implications of information security for big data biomedical research have not been discussed in depth by the extant IS literature. Yet, information security might exert a strong influence on the processes and outcomes of data sharing efforts. In this research-in-progress paper I present a developing, in-depth study of a leading information linkage infrastructure that is representative of the kind of opportunities that big data technologies are occasioning in the medical field. This research calls for IS to extend the discussion to consider, building on the empirical detail of intensive case studies, a whole range of relations between provisions for information security and the processes of scientific research and data work.en_GB
dc.description.sponsorshipThis research is funded by the European Research Council under the European Union's 7th Framework Programme (FP7/2007-2013) / ERC grant agreement n° 335925.en_GB
dc.identifier.citationProceedings of the 37th International Conference on Information Systems (ICIS) 2016en_GB
dc.identifier.urihttp://hdl.handle.net/10871/26446
dc.language.isoenen_GB
dc.publisherAssociation for Information Systems (AIS)en_GB
dc.relation.replaceshttp://hdl.handle.net/10871/24795
dc.relation.replaces10871/24795
dc.relation.urlhttp://aisel.aisnet.org/icis2016/ISHealthcare/Presentations/20/en_GB
dc.subjectInformation security/privacyen_GB
dc.subjectInformation infrastructureen_GB
dc.subjectData resource managementen_GB
dc.subjectHealth informatics/health information systems/medical ISen_GB
dc.subjectInformationen_GB
dc.subjectInformation managementen_GB
dc.subjectIS securityen_GB
dc.subjectBig dataen_GB
dc.subjectData-intensive Scienceen_GB
dc.subjectData securityen_GB
dc.titleScience Through the “Golden Security Triangle”: Information Security and Data Journeys in Data-intensive Biomedicine.en_GB
dc.typeConference paperen_GB
dc.date.available2017-03-10T12:13:31Z
dc.identifier.isbn9780996683135
exeter.place-of-publicationDublinen_GB
dc.description37th International Conference on Information Systems, Dublin, Ireland, 11-14 December 2016en_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from the Association for Information Systems via the URL in this record.


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