Data Quality in Biodiversity Information Management

HŘEBÍČEK, Jiří, Ladislav DUŠEK, Jaroslav RÁČEK and Michal HEJČ. Data Quality in Biodiversity Information Management. In Proceedings of the 3rd Internationl Summer School on Computational Biology. 1st ed. Brno: Masaryk University, 2007, p. 171-177. ISBN 978-80-210-4370-1.

Basic information

• Original name: Data Quality in Biodiversity Information Management
• Name in Czech: Data Quality in Biodiversity Information Management
• Authors: HŘEBÍČEK, Jiří (203 Czech Republic, guarantor), Ladislav DUŠEK (203 Czech Republic), Jaroslav RÁČEK (203 Czech Republic) and Michal HEJČ (203 Czech Republic).
• Edition: 1. vyd. Brno, Proceedings of the 3rd Internationl Summer School on Computational Biology, p. 171-177, 7 pp. 2007.
• Publisher: Masaryk University

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14330/07:00022502
• Organization unit: Faculty of Informatics
• ISBN: 978-80-210-4370-1
• Keywords in English: data quality; data uncertainty; environmental information; biodiversity data management
• Tags: biodiversity data management, Data quality, data uncertainty, Environmental information
• Tags: International impact, Reviewed

Abstract

Imprecision of biodiversity data is an important characteristic feature of environmental data monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal decision mistake. The important task of computing and current information and communication technology is to deal with the primary data quality and uncertainty and thus to reduce the risk of conclusion or decision mistake. At present new approaches and methodologies to handle environmental data quality and uncertainty are explored as opposite to standard ones. The paper presents comparison of such new approach against European Environment Agency and U.S. Environmental Protection Agency standards. The new approach brings more modular way of dealing with data quality and is supposed to bring better results and less workload then standard approach

Abstract (in Czech)

Imprecision of biodiversity data is an important characteristic feature of environmental data monitoring. When making evaluations, conclusions and the decisions from collected data, one has to be very careful not to make fatal decision mistake. The important task of computing and current information and communication technology is to deal with the primary data quality and uncertainty and thus to reduce the risk of conclusion or decision mistake. At present new approaches and methodologies to handle environmental data quality and uncertainty are explored as opposite to standard ones. The paper presents comparison of such new approach against European Environment Agency and U.S. Environmental Protection Agency standards. The new approach brings more modular way of dealing with data quality and is supposed to bring better results and less workload then standard approach

Links

• MSM0021622412, plan (intention): Name: Interakce mezi chemickými látkami, prostředím a biologickými systémy a jejich důsledky na globální, regionální a lokální úrovni (INCHEMBIOL) (Acronym: INCHEMBIOL)

Investor: Ministry of Education, Youth and Sports of the CR, Interactions among the chemicals, environment and biological systems and their consequences on the global, regional and local scales (INCHEMBIOL)

• SM/10/99/05, research and development project: Name: Návrh komunikačního rámce s mezinárodními informačními systémy v ŽP (Acronym: MKR)

Investor: Ministry of the Environment of the CR, Proposal of communication framework with international environmental information systems