Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines

Earth System Sciences have been generating increasingly larger amounts of heterogeneous data in recent years. We identify the need to combine Earth System Sciences with Data Sciences, and give our perspective on how this could be accomplished within the sub-field of Marine Sciences. Marine data hold...

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Autores principales:	Maria-Theresia Verwega, Carola Trahms, Avan N. Antia, Thorsten Dickhaus, Enno Prigge, Martin H. U. Prinzler, Matthias Renz, Markus Schartau, Thomas Slawig, Christopher J. Somes, Arne Biastoch
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	Marine Data Science interface science emerging science Ph.D training Data Science Marine Sciences Science Q General. Including nature conservation, geographical distribution QH1-199.5
Acceso en línea:	https://doaj.org/article/9656bb9fbb724381b95d8799a2cf2b3f
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spelling	oai:doaj.org-article:9656bb9fbb724381b95d8799a2cf2b3f2021-12-02T09:41:53ZPerspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines2296-774510.3389/fmars.2021.678404https://doaj.org/article/9656bb9fbb724381b95d8799a2cf2b3f2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.678404/fullhttps://doaj.org/toc/2296-7745Earth System Sciences have been generating increasingly larger amounts of heterogeneous data in recent years. We identify the need to combine Earth System Sciences with Data Sciences, and give our perspective on how this could be accomplished within the sub-field of Marine Sciences. Marine data hold abundant information and insights that Data Science techniques can reveal. There is high demand and potential to combine skills and knowledge from Marine and Data Sciences to best take advantage of the vast amount of marine data. This can be accomplished by establishing Marine Data Science as a new research discipline. Marine Data Science is an interface science that applies Data Science tools to extract information, knowledge, and insights from the exponentially increasing body of marine data. Marine Data Scientists need to be trained Data Scientists with a broad basic understanding of Marine Sciences and expertise in knowledge transfer. Marine Data Science doctoral researchers need targeted training for these specific skills, a crucial component of which is co-supervision from both parental sciences. They also might face challenges of scientific recognition and lack of an established academic career path. In this paper, we, Marine and Data Scientists at different stages of their academic career, present perspectives to define Marine Data Science as a distinct discipline. We draw on experiences of a Doctoral Research School, MarDATA, dedicated to training a cohort of early career Marine Data Scientists. We characterize the methods of Marine Data Science as a toolbox including skills from their two parental sciences. All of these aim to analyze and interpret marine data, which build the foundation of Marine Data Science.Maria-Theresia VerwegaMaria-Theresia VerwegaCarola TrahmsCarola TrahmsAvan N. AntiaThorsten DickhausEnno PriggeMartin H. U. PrinzlerMartin H. U. PrinzlerMatthias RenzMarkus SchartauThomas SlawigChristopher J. SomesArne BiastochArne BiastochFrontiers Media S.A.articleMarine Data Scienceinterface scienceemerging sciencePh.D trainingData ScienceMarine SciencesScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Marine Data Science interface science emerging science Ph.D training Data Science Marine Sciences Science Q General. Including nature conservation, geographical distribution QH1-199.5
spellingShingle	Marine Data Science interface science emerging science Ph.D training Data Science Marine Sciences Science Q General. Including nature conservation, geographical distribution QH1-199.5 Maria-Theresia Verwega Maria-Theresia Verwega Carola Trahms Carola Trahms Avan N. Antia Thorsten Dickhaus Enno Prigge Martin H. U. Prinzler Martin H. U. Prinzler Matthias Renz Markus Schartau Thomas Slawig Christopher J. Somes Arne Biastoch Arne Biastoch Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
description	Earth System Sciences have been generating increasingly larger amounts of heterogeneous data in recent years. We identify the need to combine Earth System Sciences with Data Sciences, and give our perspective on how this could be accomplished within the sub-field of Marine Sciences. Marine data hold abundant information and insights that Data Science techniques can reveal. There is high demand and potential to combine skills and knowledge from Marine and Data Sciences to best take advantage of the vast amount of marine data. This can be accomplished by establishing Marine Data Science as a new research discipline. Marine Data Science is an interface science that applies Data Science tools to extract information, knowledge, and insights from the exponentially increasing body of marine data. Marine Data Scientists need to be trained Data Scientists with a broad basic understanding of Marine Sciences and expertise in knowledge transfer. Marine Data Science doctoral researchers need targeted training for these specific skills, a crucial component of which is co-supervision from both parental sciences. They also might face challenges of scientific recognition and lack of an established academic career path. In this paper, we, Marine and Data Scientists at different stages of their academic career, present perspectives to define Marine Data Science as a distinct discipline. We draw on experiences of a Doctoral Research School, MarDATA, dedicated to training a cohort of early career Marine Data Scientists. We characterize the methods of Marine Data Science as a toolbox including skills from their two parental sciences. All of these aim to analyze and interpret marine data, which build the foundation of Marine Data Science.
format	article
author	Maria-Theresia Verwega Maria-Theresia Verwega Carola Trahms Carola Trahms Avan N. Antia Thorsten Dickhaus Enno Prigge Martin H. U. Prinzler Martin H. U. Prinzler Matthias Renz Markus Schartau Thomas Slawig Christopher J. Somes Arne Biastoch Arne Biastoch
author_facet	Maria-Theresia Verwega Maria-Theresia Verwega Carola Trahms Carola Trahms Avan N. Antia Thorsten Dickhaus Enno Prigge Martin H. U. Prinzler Martin H. U. Prinzler Matthias Renz Markus Schartau Thomas Slawig Christopher J. Somes Arne Biastoch Arne Biastoch
author_sort	Maria-Theresia Verwega
title	Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
title_short	Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
title_full	Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
title_fullStr	Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
title_full_unstemmed	Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines
title_sort	perspectives on marine data science as a blueprint for emerging data science disciplines
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/9656bb9fbb724381b95d8799a2cf2b3f
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Perspectives on Marine Data Science as a Blueprint for Emerging Data Science Disciplines

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