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AI3SD Video: Collaborative Data Management

AI3SD Video: Collaborative Data Management
AI3SD Video: Collaborative Data Management
This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video was the second talk in the Skills4Scientists #1 - Research Data Management Session, which focussed on several areas of good data management practices.
Research Data Management, Referencing, Data Management, Training, Data, Data Science
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f

Kanza, Samantha (2021) AI3SD Video: Collaborative Data Management. Knight, Nicola and Frey, Jeremy G. (eds.) Skills4Scientists Seminar Series 2021. 07 Jul - 02 Sep 2021. (doi:10.5258/SOTON/P0115).

Record type: Conference or Workshop Item (Other)

Abstract

This talk forms part of the Skills4Scientists Series which has been organised as a joint venture between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS). This series ran over summer 2021 and aims to educate and improve scientists skills in a range of areas including research data management, python, version control, ethics, and career development. This series is primarily aimed at final year undergraduates / early stage PhD students. This video was the second talk in the Skills4Scientists #1 - Research Data Management Session, which focussed on several areas of good data management practices.

Video
Pure-Skills4Scientists - Research Data Management - Collaborative Data Management - Dr Samantha Kanza - Version of Record
Available under License Creative Commons Attribution.
Download (421MB)
Text
RDM_Collaboration
Available under License Creative Commons Attribution.
Download (4MB)

More information

Published date: 7 July 2021
Additional Information: Dr Samantha Kanza is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.
Venue - Dates: Skills4Scientists Seminar Series 2021, 2021-07-07 - 2021-09-02
Keywords: Research Data Management, Referencing, Data Management, Training, Data, Data Science

Identifiers

Local EPrints ID: 450268
URI: http://eprints.soton.ac.uk/id/eprint/450268
PURE UUID: 99533a05-6821-4d30-8ec2-68a8a71e37c1
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 19 Jul 2021 16:46
Last modified: 10 Aug 2021 01:56

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