Metadata Formats for Data Sharing in Science Support Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F17%3A74103" target="_blank" >RIV/60460709:41110/17:74103 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.7160/aol.2017.090306." target="_blank" >http://dx.doi.org/10.7160/aol.2017.090306.</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7160/aol.2017.090306." target="_blank" >10.7160/aol.2017.090306.</a>
Alternative languages
Result language
čeština
Original language name
Metadata Formats for Data Sharing in Science Support Systems
Original language description
The article deals with analysis of model data formats suitable for metadata description of digital objects (artifacts) occurring in scientific social network applications. The emphasis of analyzes is on the issue of a metadata description of artefact links to other artifacts and artifact links to individuals. The examined metadata formats include LOM (Learning Objects Metadata), MODS (Metadata Object Description Schema) and DC (Dublin Core). The article also deals with dictionaries of controlled descriptors used to refine and unify the metadata description for agricultural research. The article presents part of the results of authors dissertation thesis.
Czech name
Metadata Formats for Data Sharing in Science Support Systems
Czech description
The article deals with analysis of model data formats suitable for metadata description of digital objects (artifacts) occurring in scientific social network applications. The emphasis of analyzes is on the issue of a metadata description of artefact links to other artifacts and artifact links to individuals. The examined metadata formats include LOM (Learning Objects Metadata), MODS (Metadata Object Description Schema) and DC (Dublin Core). The article also deals with dictionaries of controlled descriptors used to refine and unify the metadata description for agricultural research. The article presents part of the results of authors dissertation thesis.
Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
AGRIS on-line Papers in Economics and Informatics
ISSN
1804-1930
e-ISSN
1804-1930
Volume of the periodical
9
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
61-69
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-85030551408