ZPRACOVÁNÍ VÝZKUMNÝCH DAT

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F05%3A10929" target="_blank" >RIV/60460709:41310/05:10929 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

MANAGEMENT OF RESEARCH DATA

Popis výsledku v původním jazyce

Working on a large-scale research task necessitates putting to use a custom-made database in order to store and pre-process measurement data and other findings. Due to the database with its tables, forms, queries and reports, mutual data cohesion is assured, potential error occurrence is reduced and filling in of new data is quickened. When employing the database, the retrieval of data requested for statistical analysis from various points of view, and for evaluation of relations among variables, is simple, fast and flexible. For a final analysis of pre-processed data, researchers can benefit from statistical software that enables to automate tasks. A possible solution of this issue is shown in this paper with an example of a relation database (MS Access) designed for the field trials focused on various technologies of stand establishment and growing of major production crops, and with an example of automated statistical analysis (STATISTICA 7.0) of data provided by the above mentioned

Název v anglickém jazyce

MANAGEMENT OF RESEARCH DATA

Popis výsledku anglicky

Working on a large-scale research task necessitates putting to use a custom-made database in order to store and pre-process measurement data and other findings. Due to the database with its tables, forms, queries and reports, mutual data cohesion is assured, potential error occurrence is reduced and filling in of new data is quickened. When employing the database, the retrieval of data requested for statistical analysis from various points of view, and for evaluation of relations among variables, is simple, fast and flexible. For a final analysis of pre-processed data, researchers can benefit from statistical software that enables to automate tasks. A possible solution of this issue is shown in this paper with an example of a relation database (MS Access) designed for the field trials focused on various technologies of stand establishment and growing of major production crops, and with an example of automated statistical analysis (STATISTICA 7.0) of data provided by the above mentioned

Druh

D - Stať ve sborníku

CEP obor

GB - Zemědělské stroje a stavby

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2005

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Information Technologies and Control Engineering in Management of Production Systems

ISBN

80-213-1359-5

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

0-0

Název nakladatele

ČZU v Praze

Místo vydání

Praha

Místo konání akce

ČZU v Praze

Datum konání akce

20. 9. 2005

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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