Big Data Technologies in DataBio

Caj Södergård; Tomas Mildorf; Arne J. Berre; Aphrodite Tsalgatidou; Karel Charvát

doi:10.1007/978-3-030-71069-9_1

Big Data Technologies in DataBio

Caj Södergård^*
, Tomas Mildorf
, Arne J. Berre
, Aphrodite Tsalgatidou
, Karel Charvát

^*Corresponding author for this work

University of West Bohemia
SINTEF AS
Lesprojekt služby s.r.o.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

2 Citations (Scopus)

Abstract

In this introductory chapter, we present the technological background needed for understanding the work in DataBio. We start with basic concepts of Big Data including the main characteristics volume, velocity and variety. Thereafter, we discuss data pipelines and the Big Data Value (BDV) Reference Model that is referred to repeatedly in the book. The layered reference model ranges from data acquisition from sensors up to visualization and user interaction. We then discuss the differences between open and closed data. These differences are important for farmers, foresters and fishermen to understand, when they are considering sharing their professional data. Data sharing is significantly easier, if the data management conforms to the FAIR principles. We end the chapter by describing our DataBio platform that is a software development platform. It is an environment in which a piece of software is developed and improved in an iterative process providing a toolset for services in agriculture, forestry and fishery. The DataBio assets are gathered on the DataBio Hub that links to content both on the DataBio website and to Docker software repositories on clouds.

Original language	English
Title of host publication	Big Data in Bioeconomy
Subtitle of host publication	Results from the European DataBio Project
Editors	Caj Södergård, Tomas Mildorf, Ephrem Habyarimana, Arne J. Berre, Jose A. Fernandes, Christian Zinke-Wehlmann
Publisher	Springer
Chapter	1
Pages	3-15
Number of pages	13
ISBN (Electronic)	978-3-030-71069-9
ISBN (Print)	978-3-030-71068-2
DOIs	https://doi.org/10.1007/978-3-030-71069-9_1
Publication status	Published - 14 Aug 2021
MoE publication type	A3 Part of a book or another research book

Keywords

big data
big data pipelines
reference model
data analytics
DataBio platform
open data
FAIR data
Data-driven AI

Access to Document

10.1007/978-3-030-71069-9_1Licence: CC BY

https://link.springer.com/10.1007/978-3-030-71069-9_1

Cite this

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title = "Big Data Technologies in DataBio",

abstract = "In this introductory chapter, we present the technological background needed for understanding the work in DataBio. We start with basic concepts of Big Data including the main characteristics volume, velocity and variety. Thereafter, we discuss data pipelines and the Big Data Value (BDV) Reference Model that is referred to repeatedly in the book. The layered reference model ranges from data acquisition from sensors up to visualization and user interaction. We then discuss the differences between open and closed data. These differences are important for farmers, foresters and fishermen to understand, when they are considering sharing their professional data. Data sharing is significantly easier, if the data management conforms to the FAIR principles. We end the chapter by describing our DataBio platform that is a software development platform. It is an environment in which a piece of software is developed and improved in an iterative process providing a toolset for services in agriculture, forestry and fishery. The DataBio assets are gathered on the DataBio Hub that links to content both on the DataBio website and to Docker software repositories on clouds.",

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author = "Caj S{\"o}derg{\aa}rd and Tomas Mildorf and Berre, \{Arne J.\} and Aphrodite Tsalgatidou and Karel Charv{\'a}t",

year = "2021",

month = aug,

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doi = "10.1007/978-3-030-71069-9\_1",

language = "English",

isbn = "978-3-030-71068-2",

pages = "3--15",

editor = "Caj S{\"o}derg{\aa}rd and Tomas Mildorf and Ephrem Habyarimana and Berre, \{Arne J.\} and Fernandes, \{Jose A.\} and Christian Zinke-Wehlmann",

booktitle = "Big Data in Bioeconomy",

publisher = "Springer",

address = "Germany",

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Big Data Technologies in DataBio. / Södergård, Caj; Mildorf, Tomas; Berre, Arne J. et al.
Big Data in Bioeconomy: Results from the European DataBio Project. ed. / Caj Södergård; Tomas Mildorf; Ephrem Habyarimana; Arne J. Berre; Jose A. Fernandes; Christian Zinke-Wehlmann. Springer, 2021. p. 3-15.

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

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AU - Mildorf, Tomas

AU - Berre, Arne J.

AU - Tsalgatidou, Aphrodite

AU - Charvát, Karel

PY - 2021/8/14

Y1 - 2021/8/14

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AB - In this introductory chapter, we present the technological background needed for understanding the work in DataBio. We start with basic concepts of Big Data including the main characteristics volume, velocity and variety. Thereafter, we discuss data pipelines and the Big Data Value (BDV) Reference Model that is referred to repeatedly in the book. The layered reference model ranges from data acquisition from sensors up to visualization and user interaction. We then discuss the differences between open and closed data. These differences are important for farmers, foresters and fishermen to understand, when they are considering sharing their professional data. Data sharing is significantly easier, if the data management conforms to the FAIR principles. We end the chapter by describing our DataBio platform that is a software development platform. It is an environment in which a piece of software is developed and improved in an iterative process providing a toolset for services in agriculture, forestry and fishery. The DataBio assets are gathered on the DataBio Hub that links to content both on the DataBio website and to Docker software repositories on clouds.

KW - big data

KW - big data pipelines

KW - reference model

KW - data analytics

KW - DataBio platform

KW - open data

KW - FAIR data

KW - Data-driven AI

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BT - Big Data in Bioeconomy

A2 - Södergård, Caj

A2 - Mildorf, Tomas

A2 - Habyarimana, Ephrem

A2 - Berre, Arne J.

A2 - Fernandes, Jose A.

A2 - Zinke-Wehlmann, Christian

PB - Springer

ER -

Big Data Technologies in DataBio

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DataBio: Data-Driven Bioeconomy

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Big Data Technologies in DataBio

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DataBio: Data-Driven Bioeconomy

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