MANAGEMENT OF RESEARCH DATA

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

MANAGEMENT OF RESEARCH DATA

Original language description

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

Czech name

ZPRACOVÁNÍ VÝZKUMNÝCH DAT

Czech description

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

Type

D - Article in proceedings

CEP classification

GB - Agricultural machines and construction

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2005

Confidentiality

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

Article name in the collection

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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Number of pages

1

Pages from-to

0-0

Publisher name

ČZU v Praze

Place of publication

Praha

Event location

ČZU v Praze

Event date

Sep 20, 2005

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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