Abstract. K-ecohub, a pilot repository of national long-term ecological data in Korea, has been developed to solve data fragmentation issues in the KNLTER project and utilize long-term ecological data in an integrated manner. One essential element in the long-term ecological research is data quality assurance because data which do not go through quality control are far less reliable. The paper presents data processing and quality assurance plans in K-ecohub.
The KNLTER project had contributed to accumulating ecological knowledge on environmental change and to providing a basis for future ecosystem management planning and research on ecosystem preservation strategy. This project collected ecological data for 10 years, but currently researchers hardly take advantage of them because of data fragmentation, absence of quality assurance framework and lack of integrated data repository. To address the problem, we are building a system called K-ecoHub, an integrated repository for the long-term ecological research data in Korea. This paper describes requirements, key features and conceptual design for K-ecoHub.
In order to search for new physics beyond the standard model, the next generation of B-factory experiment, Belle II will collect a huge data sample that is a challenge for computing systems. The Belle II experiment, which should commence data collection in 2015, expects data rates 50 times greater than that of Belle. In order to handle this amount of data, we need a new data handling
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