Planned intervention: On Thursday March 28th 07:00 UTC Zenodo will be unavailable for up to 5 minutes to perform a database upgrade.
Published December 18, 2018 | Version v1
Dataset Open

[DATA_SCIENCE] Interviews: The Medical and Environmental Data Mash-up Infrastructure (MEDMI)

  • 1. University of Exeter

Description

This is a set of interview transcripts executed by Niccolò Tempini between March and October 2016, as part of the ERC project "The Epistemology of Data-Intensive Science", and in the context of a case study of MEDMI. Please read the "Notes on transcript editing" document for further information.

Three papers or chapters that specifically make use of these interviews have been published as of 2020:

  • Tempini, N., Leonelli, S., 2018. Concealment and discovery: The role of information security in biomedical data re-use. Soc Stud Sci 48, 663–690. https://doi.org/10.1177/0306312718804875
  • Leonelli, S., Tempini, N., 2018. Where health and environment meet: the use of invariant parameters in big data analysis. Synthese 1–20. https://doi.org/10.1007/s11229-018-1844-2
  • Tempini, N. 2020. The Reuse of Digital Computer Data: Transformation, Recombination and Generation of Data Mixes in Big Data Science. In: Leonelli S., Tempini N. (eds) Data Journeys in the Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-37177-7_13

The transcripts document MEDMI researchers' experience of infrastructure development and data curation and re-use practices. Researchers have consented to have these transcripts made available as Open Data. Other interviewees did not give consent, so those transcripts are held securely by the research team in Exeter.
You also find the information sheet provided to interviewees, which gives you the context for this project. Further information and related publications can be found at www.datastudies.eu.

Files

Ethics_consent_form_DATASCIENCE.pdf

Files (2.0 MB)

Name Size Download all
md5:b9fe554cc0f0f8510626eebb78ca77a6
102.4 kB Preview Download
md5:ea352c3ad1419b4da5f7ec1293c3dde8
2.7 kB Preview Download
md5:88dc4aa0ca97e5aa3c526364c825fffe
108.7 kB Preview Download
md5:8e2eff5d3b94197cd34c13f15089c434
110.4 kB Preview Download
md5:cbaebf5741b63721e8dd075e68ab036f
103.3 kB Preview Download
md5:8d93c432efe1802f782f48f8eb806558
121.9 kB Preview Download
md5:8a42ef4183e87809c20a960444dca3aa
124.8 kB Preview Download
md5:647e6f9c33c638914902a64641f32952
112.2 kB Preview Download
md5:3aeb57616ba6b013ec5ed6763ca7254a
153.6 kB Preview Download
md5:5cc34b09d19e95e72c3698653ff44bb5
200.1 kB Preview Download
md5:84fe64b8a338ebdad2895ce669d60c7e
91.6 kB Preview Download
md5:e67d7ad61b2ec7829ee8af17ad995a55
96.8 kB Preview Download
md5:af4a013f37eb2ac68261e863e973e39d
112.9 kB Preview Download
md5:36a43777e175bec131ac6b805154036d
88.6 kB Preview Download
md5:56bf3da0deb2b339a0a8e76237d70161
112.8 kB Preview Download
md5:e3ac23b4fc8d71f6cf2c9d917b39d967
94.0 kB Preview Download
md5:6631c817acc64c266c783d93ea55f73a
68.0 kB Preview Download
md5:5ca1ebadff5447ac469bb5ceb7736af0
204.3 kB Preview Download

Additional details

Related works

Is source of
Journal article: 10.1177/0306312718804875 (DOI)
Journal article: 10.1007/s11229-018-1844-2 (DOI)
Book chapter: 10.1007/978-3-030-37177-7_13 (DOI)

Funding

DATA SCIENCE – The Epistemology of Data-Intensive Science 335925
European Commission