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AI3SD Video: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility

AI3SD Video: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility
AI3SD Video: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility
Mark's talk focused on three specific areas as to how you can digitise your data and workflows to improve your productivity, increase discovery of your data and make your research more reproducible. These tips were broken down into smaller areas in which you could implement them, with examples taken from the chemistry and life sciences domains. The three main areas which Mark included in his tips were: binning the old fashioned write up, collecting data throughout the whole experiment and sharing your data in accessible and transferable formats. The talk gave examples using the Digital GlasswareTM products offered by DeepMatter, in addition to ways to incorporate the tips in different systems. Mark concludes his talk by commenting on the large proportion of science that is currently irreproducible and the ways in which human interaction introduces opportunities for error. These tips aim to resolve these issues, increasing the reproducibility of science and reducing the errors.
AI3SD Event, Data Quality, Data Science, Data Sharing, Reproducible Research, Research, Research Data Management, Responsible Research, Training
Warne, Mark
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Kanza, Samantha
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Frey, Jeremy G.
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Hooper, Victoria
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Knight, Nicola
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Warne, Mark
a3c1244a-70c3-4430-90d4-873716fac257
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b

Warne, Mark (2020) AI3SD Video: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility. Kanza, Samantha, Frey, Jeremy G., Hooper, Victoria and Knight, Nicola (eds.) AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom. 22 Oct - 03 Dec 2020. (doi:10.5258/SOTON/P0069).

Record type: Conference or Workshop Item (Other)

Abstract

Mark's talk focused on three specific areas as to how you can digitise your data and workflows to improve your productivity, increase discovery of your data and make your research more reproducible. These tips were broken down into smaller areas in which you could implement them, with examples taken from the chemistry and life sciences domains. The three main areas which Mark included in his tips were: binning the old fashioned write up, collecting data throughout the whole experiment and sharing your data in accessible and transferable formats. The talk gave examples using the Digital GlasswareTM products offered by DeepMatter, in addition to ways to incorporate the tips in different systems. Mark concludes his talk by commenting on the large proportion of science that is currently irreproducible and the ways in which human interaction introduces opportunities for error. These tips aim to resolve these issues, increasing the reproducibility of science and reducing the errors.

Video
FI2NI-Event1-Talk3-MarkWarne-221020 - Version of Record
Available under License Creative Commons Attribution.
Download (370MB)

More information

Published date: 22 October 2020
Additional Information: Mark Warne, was appointed as Chief Executive Officer of DeepMatter Group plc on the 2 July 2018. Mark, who joined DeepMatter as a Non-Executive Director in September 2015 also served as its Executive Chairman between April 2017 and July 2018. Mark is widely recognised in the UK and International life sciences sector, having spent almost 10 years at IP Group Plc, a leading intellectual property commercialisation company, where he led the Healthcare team. He managed a portfolio of £330m of net assets in 2016/2017 and represented IP Group on the boards of both listed and private companies. In 2018, concurrent with the integration of Touchstone Innovations into IP Group, Mark became a Partner in the Life Sciences division. He joined IP Group from pre-clinical drug discovery CRO, Exelgen, where he was Managing Director. Mark spent eight years at Exelgen (formerly Tripos Discovery Research) where he also held positions in licensing and strategic affairs, project management and research. He has a PhD in Computational Chemistry, an MSc in Colloid Science and a BSc in Chemistry, all from the University of Bristol. Mark is a Chartered Chemist and member of the Royal Society of Chemistry. He serves as a non-executive director on the boards of Open Orphan plc and Ixico plc.
Venue - Dates: AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom, 2020-10-22 - 2020-12-03
Keywords: AI3SD Event, Data Quality, Data Science, Data Sharing, Reproducible Research, Research, Research Data Management, Responsible Research, Training

Identifiers

Local EPrints ID: 447531
URI: http://eprints.soton.ac.uk/id/eprint/447531
PURE UUID: 3af50ea1-8b04-4f2b-b26a-94dba25b19bc
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835

Catalogue record

Date deposited: 15 Mar 2021 17:39
Last modified: 25 Aug 2021 01:57

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Contributors

Author: Mark Warne
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper
Editor: Nicola Knight ORCID iD

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