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

被引:2
|
作者
Verwega, Maria-Theresia [1 ,2 ]
Trahms, Carola [1 ,2 ]
Antia, Avan N. [2 ]
Dickhaus, Thorsten [3 ]
Prigge, Enno [1 ]
Prinzler, Martin H. U. [3 ,4 ]
Renz, Matthias [2 ]
Schartau, Markus [1 ]
Slawig, Thomas [2 ]
Somes, Christopher J. [1 ]
Biastoch, Arne [1 ,2 ]
机构
[1] GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany
[2] Univ Kiel, Kiel, Germany
[3] Univ Bremen, Bremen, Germany
[4] AWI Alfred Wegner Inst Polar & Ocean Res, Bremerhaven, Germany
关键词
Marine Data Science; interface science; emerging science; Ph; D training; Data Science; Marine Sciences; Earth System Sciences; STATE;
D O I
10.3389/fmars.2021.678404
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Infusing Data Science Across Disciplines
    Deb, Debzani
    Smith, Russell M.
    Fuad, Muztaba
    [J]. PROCEEDINGS OF THE 2019 ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION (ITICSE '19), 2019, : 302 - 302
  • [3] Information Science Roles in the Emerging Field of Data Science
    Gary Marchionini
    [J]. Journal of Data and Information Science, 2016, 1 (02) : 1 - 6
  • [4] Mobility Data Science: Perspectives and Challenges
    Mokbel, Mohamed
    Sakr, Mahmoud
    Xiong, Li
    Züfle, Andreas
    Almeida, Jussara
    Anderson, Taylor
    Aref, Walid
    Andrienko, Gennady
    Andrienko, Natalia
    Cao, Yang
    Chawla, Sanjay
    Cheng, Reynold
    Chrysanthis, Panos
    Fei, Xiqi
    Ghinita, Gabriel
    Graser, Anita
    Gunopulos, Dimitrios
    Jensen, Christian S.
    Kim, Joon-Seok
    Kim, Kyoung-Sook
    Kröger, Peer
    Krumm, John
    Lauer, Johannes
    Magdy, Amr
    Nascimento, Mario
    Ravada, Siva
    Renz, Matthias
    Sacharidis, Dimitris
    Salim, Flora
    Sarwat, Mohamed
    Schoemans, Maxime
    Shahabi, Cyrus
    Speckmann, Bettina
    Tanin, Egemen
    Teng, Xu
    Theodoridis, Yannis
    Torp, Kristian
    Trajcevski, Goce
    Van Kreveld, Marc
    Wenk, Carola
    Werner, Martin
    Wong, Raymond
    Wu, Song
    Xu, Jianqiu
    Youssef, Moustafa
    Zeinalipour, Demetris
    Zhang, Mengxuan
    Zimányi, Esteban
    [J]. ACM Transactions on Spatial Algorithms and Systems, 2024, 10 (02)
  • [5] Perspectives on Citizen Science Data Quality
    Downs, Robert R.
    Ramapriyan, Hampapuram K.
    Peng, Ge
    Wei, Yaxing
    [J]. FRONTIERS IN CLIMATE, 2021, 3
  • [6] Is data science a science? The essence of phenomenon and the role of theory in the emerging field
    de Moura Jr, Pedro Jacome
    [J]. KYBERNETES, 2022, 51 (07) : 2416 - 2434
  • [7] Writing styles in different scientific disciplines: a data science approach
    Amnah Alluqmani
    Lior Shamir
    [J]. Scientometrics, 2018, 115 : 1071 - 1085
  • [8] Writing styles in different scientific disciplines: a data science approach
    Alluqmani, Amnah
    Shamir, Lior
    [J]. SCIENTOMETRICS, 2018, 115 (02) : 1071 - 1085
  • [9] Emerging problems of data quality in citizen science
    Lukyanenko, Roman
    Parsons, Jeffrey
    Wiersma, Yolanda F.
    [J]. CONSERVATION BIOLOGY, 2016, 30 (03) : 447 - 449
  • [10] Surgical Data Science, An Emerging Field of Medicine
    Nagy, Denes Akos
    Rudas, Imre J.
    Haidegger, Tamas
    [J]. 2017 IEEE 30TH NEUMANN COLLOQUIUM (NC), 2017, : 59 - 63