Developing a semi-automatic data conversion tool for korean ecological data standardization

Hyeonjeong Lee, Hoseok Jung, Miyoung Shin, Ohseok Kwon

Research output: Contribution to journalComment/debate

8 Scopus citations

Abstract

Recently, great demands are rising around the globe for monitoring and studying of long-term ecological changes. To go with the stream, many researchers in South Korea have attempted to share and integrate ecological data for practical use. Although some achievements were made in the meantime, we still have to overcome a big obstacle that existing ecological data in South Korea are mostly spread all over the country in various formats of computer files. In this study, we aim to handle the situation by developing a semi-automatic data conversion tool for Korean ecological data standardization, based on some predefined protocols for ecological data collection and management. The current implementation of this tool works on only five species (libythea celtis, spittle bugs, mosquitoes, pinus, and quercus mongolica), helping data managers to quickly and efficiently obtain a standardized format of ecological data from raw collection data. With this tool, the procedure of data conversion is divided into four steps: data file and protocol selection step, species selection step, attribute mapping step, and data standardization step. To find the usability of this tool, we utilized it to conduct the standardization of raw five species data collected from six different observatory sites of Korean National Parks. As a result, we could obtain a common form of standardized data in a relatively short time. With the help of this tool, various ecological data could be easily integrated into the nationwide common platform, providing broad applicability towards solving many issues in ecological and environmental system.

Original languageEnglish
Article number11
JournalJournal of Ecology and Environment
Volume41
Issue number1
DOIs
StatePublished - 14 Mar 2017

Keywords

  • Data conversion
  • Data standardization
  • Ecological data
  • Program
  • Tool

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