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Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach. / Hollaway, Michael J.; Dean, Graham; Blair, Gordon et al.
In: Patterns, Vol. 1, 100103, 09.10.2020.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Hollaway, MJ, Dean, G, Blair, G, Brown, M, Henrys, PA & Watkins, J 2020, 'Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach', Patterns, vol. 1, 100103. https://doi.org/10.1016/j.patter.2020.100103

APA

Hollaway, M. J., Dean, G., Blair, G., Brown, M., Henrys, P. A., & Watkins, J. (2020). Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach. Patterns, 1, Article 100103. https://doi.org/10.1016/j.patter.2020.100103

Vancouver

Hollaway MJ, Dean G, Blair G, Brown M, Henrys PA, Watkins J. Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach. Patterns. 2020 Oct 9;1:100103. Epub 2020 Sept 17. doi: 10.1016/j.patter.2020.100103

Author

Hollaway, Michael J. ; Dean, Graham ; Blair, Gordon et al. / Tackling the Challenges of 21st-Century Open Science and Beyond : A Data Science Lab Approach. In: Patterns. 2020 ; Vol. 1.

Bibtex

@article{93fe33696461434daa3e2f9f17ba4266,
title = "Tackling the Challenges of 21st-Century Open Science and Beyond: A Data Science Lab Approach",
abstract = "In recent years, there has been a drive toward more open, cross-disciplinary science taking centre stage. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop methods, and disseminate their results to stakeholders and decision makers. We present our vision of a “data science lab” as a collaborative space where scientists (from different disciplines), stakeholders, and policy makers can create data-driven solutions to environmental science's grand challenges. We set out a clear and defined research roadmap to serve as a focal point for an international research community progressing toward a more data-driven and transparent approach to environmental data science, centred on data science labs. This includes ongoing case studies of good practice, with the infrastructural and methodological developments required to enable data science labs to support significant increase in our cross- and trans-disciplinary science capabilities.",
author = "Hollaway, {Michael J.} and Graham Dean and Gordon Blair and Mike Brown and P.A Henrys and John Watkins",
year = "2020",
month = oct,
day = "9",
doi = "10.1016/j.patter.2020.100103",
language = "English",
volume = "1",
journal = "Patterns",
issn = "2666-3899",
publisher = "Cell Press",

}

RIS

TY - JOUR

T1 - Tackling the Challenges of 21st-Century Open Science and Beyond

T2 - A Data Science Lab Approach

AU - Hollaway, Michael J.

AU - Dean, Graham

AU - Blair, Gordon

AU - Brown, Mike

AU - Henrys, P.A

AU - Watkins, John

PY - 2020/10/9

Y1 - 2020/10/9

N2 - In recent years, there has been a drive toward more open, cross-disciplinary science taking centre stage. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop methods, and disseminate their results to stakeholders and decision makers. We present our vision of a “data science lab” as a collaborative space where scientists (from different disciplines), stakeholders, and policy makers can create data-driven solutions to environmental science's grand challenges. We set out a clear and defined research roadmap to serve as a focal point for an international research community progressing toward a more data-driven and transparent approach to environmental data science, centred on data science labs. This includes ongoing case studies of good practice, with the infrastructural and methodological developments required to enable data science labs to support significant increase in our cross- and trans-disciplinary science capabilities.

AB - In recent years, there has been a drive toward more open, cross-disciplinary science taking centre stage. This has presented a number of challenges, including providing research platforms for collaborating scientists to explore big data, develop methods, and disseminate their results to stakeholders and decision makers. We present our vision of a “data science lab” as a collaborative space where scientists (from different disciplines), stakeholders, and policy makers can create data-driven solutions to environmental science's grand challenges. We set out a clear and defined research roadmap to serve as a focal point for an international research community progressing toward a more data-driven and transparent approach to environmental data science, centred on data science labs. This includes ongoing case studies of good practice, with the infrastructural and methodological developments required to enable data science labs to support significant increase in our cross- and trans-disciplinary science capabilities.

U2 - 10.1016/j.patter.2020.100103

DO - 10.1016/j.patter.2020.100103

M3 - Journal article

VL - 1

JO - Patterns

JF - Patterns

SN - 2666-3899

M1 - 100103

ER -