The University of Southampton
University of Southampton Institutional Repository

PhD Dataset

PhD Dataset
PhD Dataset
This is the data from all of the user studies conducted as part of my PhD project It comprises of the following categories of the following files: ELN Market Study - ELNMarketStudy.xlsx - full details of all ELNs detailed in the market research Chemists Software Survey - ChemistsSoftwareSurvey-FullSurvey.pdf - full copy of the survey - ChemistsSoftwareSurvey-SoftwareTools.xlsx - list of tools used in survey - ChemistsSoftwareSurvey-Results - anonymised results of the survey Focus Groups - FocusGroupTranscriptsAnonymised.pdf - anonymised focus group transcripts Lab Observations - ObservationsWriteupsAnonymised.pdf - anonymised observation writeups Software Evaluation Focus Groups - SoftwareEvaluationTranscriptsAnonymised.pdf - anonymised software evaluation focus group transcripts Data supports: Kanza, Samantha (2018) 'What influence would a cloud based semantic laboratory notebook have on the digitisation and management of scientific research?' University of Southampton, Doctoral Thesis, https://eprints.soton.ac.uk/id/eprint/421045
University of Southampton
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420

Kanza, Samantha (2017) PhD Dataset. University of Southampton doi:10.5258/SOTON/D0384 [Dataset]

Record type: Dataset

Abstract

This is the data from all of the user studies conducted as part of my PhD project It comprises of the following categories of the following files: ELN Market Study - ELNMarketStudy.xlsx - full details of all ELNs detailed in the market research Chemists Software Survey - ChemistsSoftwareSurvey-FullSurvey.pdf - full copy of the survey - ChemistsSoftwareSurvey-SoftwareTools.xlsx - list of tools used in survey - ChemistsSoftwareSurvey-Results - anonymised results of the survey Focus Groups - FocusGroupTranscriptsAnonymised.pdf - anonymised focus group transcripts Lab Observations - ObservationsWriteupsAnonymised.pdf - anonymised observation writeups Software Evaluation Focus Groups - SoftwareEvaluationTranscriptsAnonymised.pdf - anonymised software evaluation focus group transcripts Data supports: Kanza, Samantha (2018) 'What influence would a cloud based semantic laboratory notebook have on the digitisation and management of scientific research?' University of Southampton, Doctoral Thesis, https://eprints.soton.ac.uk/id/eprint/421045

Text
FocusGroupTranscriptsAnonymised.pdf - Dataset
Available under License Creative Commons Attribution.
Download (518kB)
Text
ChemistsSoftwareSurvey_FullSurvey.pdf - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Spreadsheet
ChemistsSoftwareSurvey_Results.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (16MB)
Spreadsheet
ChemistsSoftwareSurvey_SoftwareTools.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (91kB)
Spreadsheet
ELNMarketStudy.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (279kB)
Text
ObservationsWriteupsAnonymised.pdf - Dataset
Available under License Creative Commons Attribution.
Download (839kB)
Text
SoftwareEvaluationTranscriptsAnonymise.pdf - Dataset
Available under License Creative Commons Attribution.
Download (348kB)

Show all 7 downloads.

More information

Published date: 2017
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 408397
URI: http://eprints.soton.ac.uk/id/eprint/408397
PURE UUID: b3ea65c8-c436-44bf-9530-37770c60555e
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489

Catalogue record

Date deposited: 19 May 2017 06:21
Last modified: 05 Nov 2023 02:57

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×