{"title":"自动科学计量学分析系统","authors":"S. Iwami","doi":"10.23919/PICMET.2017.8125421","DOIUrl":null,"url":null,"abstract":"Governmental officers and non-IT researchers start to highly demand voluntary works of analyzing quantitative analyses. Additionally, in the international conferences I attended, some researchers are interested in my researches about big data analyses. On the other hand, data-based tools made by IT researchers and engineers are not diffused well, because it is difficult for others to interpret the results for the reality. Namely, collaborations between non-IT people and IT people sometimes do not go well. The reason is that human resources of ITresearchers or engineers are insufficient. The purpose of this research is to make effective analyzing system for scientometrics and bibliometrics used in innovation policy and technology management. Target users are IT users but not IT developers. I am making the Automatic Scientometrics Analyzing System. Its three parts are (1) data collection, (2) analyses, and (3) result presentation. By function separation and modularization, it becomes easy to add new data sources and new methodologies. The results on my presentation server are published automatically at the public place, Microsoft Azure Web service. This system will enable us to produce objective evidences for decision-making effectively.","PeriodicalId":438177,"journal":{"name":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Automatic Scientometrics Analyzing System\",\"authors\":\"S. Iwami\",\"doi\":\"10.23919/PICMET.2017.8125421\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Governmental officers and non-IT researchers start to highly demand voluntary works of analyzing quantitative analyses. Additionally, in the international conferences I attended, some researchers are interested in my researches about big data analyses. On the other hand, data-based tools made by IT researchers and engineers are not diffused well, because it is difficult for others to interpret the results for the reality. Namely, collaborations between non-IT people and IT people sometimes do not go well. The reason is that human resources of ITresearchers or engineers are insufficient. The purpose of this research is to make effective analyzing system for scientometrics and bibliometrics used in innovation policy and technology management. Target users are IT users but not IT developers. I am making the Automatic Scientometrics Analyzing System. Its three parts are (1) data collection, (2) analyses, and (3) result presentation. By function separation and modularization, it becomes easy to add new data sources and new methodologies. The results on my presentation server are published automatically at the public place, Microsoft Azure Web service. This system will enable us to produce objective evidences for decision-making effectively.\",\"PeriodicalId\":438177,\"journal\":{\"name\":\"2017 Portland International Conference on Management of Engineering and Technology (PICMET)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Portland International Conference on Management of Engineering and Technology (PICMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/PICMET.2017.8125421\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Portland International Conference on Management of Engineering and Technology (PICMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/PICMET.2017.8125421","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Governmental officers and non-IT researchers start to highly demand voluntary works of analyzing quantitative analyses. Additionally, in the international conferences I attended, some researchers are interested in my researches about big data analyses. On the other hand, data-based tools made by IT researchers and engineers are not diffused well, because it is difficult for others to interpret the results for the reality. Namely, collaborations between non-IT people and IT people sometimes do not go well. The reason is that human resources of ITresearchers or engineers are insufficient. The purpose of this research is to make effective analyzing system for scientometrics and bibliometrics used in innovation policy and technology management. Target users are IT users but not IT developers. I am making the Automatic Scientometrics Analyzing System. Its three parts are (1) data collection, (2) analyses, and (3) result presentation. By function separation and modularization, it becomes easy to add new data sources and new methodologies. The results on my presentation server are published automatically at the public place, Microsoft Azure Web service. This system will enable us to produce objective evidences for decision-making effectively.