Crowdsourced Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43963006" target="_blank" >RIV/49777513:23520/21:43963006 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/book/10.1007/978-3-030-71069-9" target="_blank" >https://link.springer.com/book/10.1007/978-3-030-71069-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-71069-9_5" target="_blank" >10.1007/978-3-030-71069-9_5</a>
Alternative languages
Result language
angličtina
Original language name
Crowdsourced Data
Original language description
Crowdsourcing together with Volunteered Geographic Information (VGI) are currently part of a broader concept – Citizens Science. The methods provide information on existing geospatial data or is a part of data collection from geolocated devices. They enable opening parts of scientific work to the general public. DataBio Crowdsourcing Solution is a combination of the SensLog server platform and HSLayers web and mobile applications. SensLog is a server system for managing sensor data, volunteered geographic information and other geospatial data. Web and mobile applications are used to collect and visualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
ISBN
978-3-030-71069-9
Number of pages of the result
5
Pages from-to
63-67
Number of pages of the book
423
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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