Multipurpose Database Management Systems for Marine Environmental Research

Vladimirov, V. L.; Miroshnichenko, V. V.

doi:10.1007/978-94-011-5616-5_29

Cited by 3 publications

(3 citation statements)

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“…They are valuable data management solutions, inasmuch as accessing, combining, verifying and analyzing these multi‐disciplinary datasets present a significant challenge for scientists and managers (Jian et al ). The first ocean database, Crubase, contains cruise data of up to 320 measured variables from 3000 to 4000 oceanographic stations (Vladimirov ; Vladimirov and Miroshnichenko ). It also includes temporal and geolocation information for every set of variables, but data‐quality information is not given.…”

Section: Ocean Databases: An Overviewmentioning

confidence: 99%

“…It also includes temporal and geolocation information for every set of variables, but data-quality information is not given. Further marine database management systems have been developed for the Black Sea (Vladimirov and Miroshnichenko 1997;Vladimirov et al 1999) and the Aral Sea (Lyubartsev et al 2004). These systems were designed as interactive software to store and analyze multi-disciplinary oceanographic variables such as temperature, salinity, dissolved oxygen, chlorophyll a (Chl a), and primary production.…”

Section: Ocean Databases: An Overviewmentioning

confidence: 99%

“…Data quality control is a fundamental requirement in the development of a database in order to identify incorrect or inconsistent data. Multiple tests are essential to detect Most quality-flag systems in existing ocean databases are too simple (Vladimirov and Miroshnichenko 1997;Vladimirov et al 1999;Lyubartsev et al 2004), partly due to the difficulty entailed in designing a comprehensive and efficient data quality control system. Ocean databases may contain different kinds of variables from different sources, as in the JZB database; not all checks are relevant for all data, which may result in inconsistent flags.…”

Section: Data Quality Control and Flagsmentioning

confidence: 99%

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Design, construction, and application of a regional ocean database: A case study in Jiaozhou Bay, China

Yuan

Jalón‐Rojas

Wang

et al. 2019

Limnology & Ocean Methods

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Access to geophysical data poses a challenge in Oceanography and Marine Sciences. Ocean databases are an efficient solution to storing, standardizing, validating, and sharing marine and environmental data. However, ocean databases of regional seas and coastal systems are still rare. In this article, we describe a regional ocean database for Jiaozhou Bay, a coastal system affected by increasing anthropogenic activities, such as land reclamation, a cross‐bay bridge construction, and land‐based pollutant discharges. Understanding the impact of human activities on Jiaozhou Bay requires a comprehensive range of research on biogeochemical and physical changes, and on the current environmental state of the bay. The Jiaozhou Bay database described here aims to inform this key research and also to serve as a reference for the future development of regional ocean databases. It includes three kinds of variables: on‐site, satellite, and modeling data. The database structure is unified and incorporates file names, header information (including metadata), measured values and data‐quality flags, which facilitate data exchange and use. We propose a system of data‐quality flags, based on 13 checks that encompass quality control of the different kinds of variables (e.g., satellite 2D data and on‐site profile data). Three examples, one for each type of data, illustrate the use and value of the Jiaozhou Bay database in better understanding the oceanographic characteristics of this bay and the impact of intensive anthropogenic activities on its marine environment.

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Section: Ocean Databases: An Overviewmentioning

confidence: 99%