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Baikal plankton data- analytic system

This project focuses on developing a comprehensive data-analytic system for Baikal plankton research, utilizing GIS and bioinformatics technologies alongside mathematical methods. Since 1927, over 40,000 observation records have been collected, highlighting challenges in data access and processing. The mission is to create a conversion technology for data formats, develop user interfaces for data manipulation and statistical analysis, and establish a database of 350,000 records. The project employs Java, PostgreSQL, and various statistical methods, contributing to ecological and biological research at Irkutsk State University.

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Baikal plankton data- analytic system

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  1. REG-6 GIS and bioinformatics technologies and mathematical methods in study of Baikal Baikal plankton data-analytic system Kosareva Natalia Irkutsk State University, Irkutsk Bolshie Koty, Baikal, Russia August 21-31, 2007

  2. Presupposition of this work • Investigations take place since 1927, more than 40 000 observation paper forms; • data access problem; • data processing and data analysis problems.

  3. Project mission • To elaborate a conversion technology from current formats to a specific data base; • To develop a user interface for advanced data processing; • To create a user interface for integral statistical indicators calculation

  4. The project starting stages Paper observation forms can be prepared by persons inexperienced in informatics Students group xls files Experts (correction) Corrected xls files Data-analytic system “Baikal” xml files Import program

  5. Exploited technologies • Object-oriented language Java; • Database managementsystem PostgreSQL; • Query languageSQL; • JDBC; • Statistical methods for information processing.

  6. Data-analytic system modules Specific Input Interface Supplemental information module XSL format export XSL format import Statistical modules Multimedia & graphical interfaces

  7. Statistical module

  8. Results • Data conversion program has been developed, • DB has been created (currently 350 000 records); • User interface has been developed for special data manipulation & augmentation; • Statistical module have been implemented; • Import/export modules for the data base have been established.

  9. Conclusion This project is a modern information technologies application to ecological and biological data and knowledge. The data-analytic system has been implemented and is being exploited in the ISU Research Institute of Biology.

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