Big Data Technologies in DataBio
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962861" target="_blank" >RIV/49777513:23520/21:43962861 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-71069-9_1" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-71069-9_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-71069-9_1" target="_blank" >10.1007/978-3-030-71069-9_1</a>
Alternative languages
Result language
angličtina
Original language name
Big Data Technologies in DataBio
Original language description
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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Big Data in Bioeconomy: Results from the European DataBio Project
ISBN
978-3-030-71069-9
Number of pages of the result
13
Pages from-to
3-15
Number of pages of the book
423
Publisher name
Springer
Place of publication
Cham, Switzerland
UT code for WoS chapter
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