Masayoshi KozaiPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan, Yoshimasa TanakaPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, JapanNational Institute of Polar Research, Research Organization of Information and Systems, Tachikawa, Japan, Shuji AbeInternational Research Center for Space and Planetary Environmental Science, Kyushu University, Fukuoka, Japan, Yasuyuki MinamiyamaResearch Center for Open Science and Data Platform, National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan, Atsuki ShinboriInstitute for Space and Earth Environmental Research Center for Integrated Data Science, Nagoya University, Nagoya, Japan, Akira KadokuraPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan
{"title":"AMIDER：多学科研究数据库及其在促进开放科学中的应用","authors":"Masayoshi KozaiPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan, Yoshimasa TanakaPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, JapanNational Institute of Polar Research, Research Organization of Information and Systems, Tachikawa, Japan, Shuji AbeInternational Research Center for Space and Planetary Environmental Science, Kyushu University, Fukuoka, Japan, Yasuyuki MinamiyamaResearch Center for Open Science and Data Platform, National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan, Atsuki ShinboriInstitute for Space and Earth Environmental Research Center for Integrated Data Science, Nagoya University, Nagoya, Japan, Akira KadokuraPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan","doi":"arxiv-2408.02246","DOIUrl":null,"url":null,"abstract":"The AMIDER, Advanced Multidisciplinary Integrated-Database for Exploring new\nResearch, is a newly developed research data catalog to demonstrate an advanced\ndatabase application. AMIDER is characterized as a multidisciplinary database\nequipped with a user-friendly web application. Its catalog view displays\ndiverse research data at once beyond any limitation of each individual\ndiscipline. Some useful functions, such as a selectable data download, data\nformat conversion, and display of data visual information, are also\nimplemented. Further advanced functions, such as visualization of dataset\nmutual relationship, are also implemented as a preliminary trial. These\ncharacteristics and functions are expected to enhance the accessibility to\nindividual research data, even from non-expertized users, and be helpful for\ncollaborations among diverse scientific fields beyond individual disciplines.\nMultidisciplinary data management is also one of AMIDER's uniqueness, where\nvarious metadata schemas can be mapped to a uniform metadata table, and\nstandardized and self-describing data formats are adopted. AMIDER website\n(https://amider.rois.ac.jp/) had been launched in April 2024. As of July 2024,\nover 15,000 metadata in various research fields of polar science have been\nregistered in the database, and approximately 500 visitors are viewing the\nwebsite every day on average. Expansion of the database to further\nmultidisciplinary scientific fields, not only polar science, is planned, and\nadvanced attempts, such as applying Natural Language Processing (NLP) to\nmetadata, have also been considered.","PeriodicalId":501123,"journal":{"name":"arXiv - CS - Databases","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AMIDER: A Multidisciplinary Research Database and Its Application to Promote Open Science\",\"authors\":\"Masayoshi KozaiPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan, Yoshimasa TanakaPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, JapanNational Institute of Polar Research, Research Organization of Information and Systems, Tachikawa, Japan, Shuji AbeInternational Research Center for Space and Planetary Environmental Science, Kyushu University, Fukuoka, Japan, Yasuyuki MinamiyamaResearch Center for Open Science and Data Platform, National Institute of Informatics, Research Organization of Information and Systems, Tokyo, Japan, Atsuki ShinboriInstitute for Space and Earth Environmental Research Center for Integrated Data Science, Nagoya University, Nagoya, Japan, Akira KadokuraPolar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Tachikawa, Japan\",\"doi\":\"arxiv-2408.02246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The AMIDER, Advanced Multidisciplinary Integrated-Database for Exploring new\\nResearch, is a newly developed research data catalog to demonstrate an advanced\\ndatabase application. AMIDER is characterized as a multidisciplinary database\\nequipped with a user-friendly web application. Its catalog view displays\\ndiverse research data at once beyond any limitation of each individual\\ndiscipline. Some useful functions, such as a selectable data download, data\\nformat conversion, and display of data visual information, are also\\nimplemented. Further advanced functions, such as visualization of dataset\\nmutual relationship, are also implemented as a preliminary trial. These\\ncharacteristics and functions are expected to enhance the accessibility to\\nindividual research data, even from non-expertized users, and be helpful for\\ncollaborations among diverse scientific fields beyond individual disciplines.\\nMultidisciplinary data management is also one of AMIDER's uniqueness, where\\nvarious metadata schemas can be mapped to a uniform metadata table, and\\nstandardized and self-describing data formats are adopted. AMIDER website\\n(https://amider.rois.ac.jp/) had been launched in April 2024. As of July 2024,\\nover 15,000 metadata in various research fields of polar science have been\\nregistered in the database, and approximately 500 visitors are viewing the\\nwebsite every day on average. Expansion of the database to further\\nmultidisciplinary scientific fields, not only polar science, is planned, and\\nadvanced attempts, such as applying Natural Language Processing (NLP) to\\nmetadata, have also been considered.\",\"PeriodicalId\":501123,\"journal\":{\"name\":\"arXiv - CS - Databases\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Databases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.02246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Databases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.02246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
AMIDER: A Multidisciplinary Research Database and Its Application to Promote Open Science
The AMIDER, Advanced Multidisciplinary Integrated-Database for Exploring new
Research, is a newly developed research data catalog to demonstrate an advanced
database application. AMIDER is characterized as a multidisciplinary database
equipped with a user-friendly web application. Its catalog view displays
diverse research data at once beyond any limitation of each individual
discipline. Some useful functions, such as a selectable data download, data
format conversion, and display of data visual information, are also
implemented. Further advanced functions, such as visualization of dataset
mutual relationship, are also implemented as a preliminary trial. These
characteristics and functions are expected to enhance the accessibility to
individual research data, even from non-expertized users, and be helpful for
collaborations among diverse scientific fields beyond individual disciplines.
Multidisciplinary data management is also one of AMIDER's uniqueness, where
various metadata schemas can be mapped to a uniform metadata table, and
standardized and self-describing data formats are adopted. AMIDER website
(https://amider.rois.ac.jp/) had been launched in April 2024. As of July 2024,
over 15,000 metadata in various research fields of polar science have been
registered in the database, and approximately 500 visitors are viewing the
website every day on average. Expansion of the database to further
multidisciplinary scientific fields, not only polar science, is planned, and
advanced attempts, such as applying Natural Language Processing (NLP) to
metadata, have also been considered.
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