{"title":"医学和生物研究数据","authors":"A. F. Martsinkevich","doi":"10.37489/2588-0519-2024-2-80-90","DOIUrl":null,"url":null,"abstract":"This paper discusses the importance of properly organizing data for effective statistical analysis. The main problems that arise when recording research results due to the heterogeneity of information and the imperfections of standard approaches, as well as ways to address and prevent them, are presented. Simple principles for creating a research database, validating, and ensuring its integrity are proposed.","PeriodicalId":326764,"journal":{"name":"Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medical and biological research data\",\"authors\":\"A. F. Martsinkevich\",\"doi\":\"10.37489/2588-0519-2024-2-80-90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the importance of properly organizing data for effective statistical analysis. The main problems that arise when recording research results due to the heterogeneity of information and the imperfections of standard approaches, as well as ways to address and prevent them, are presented. Simple principles for creating a research database, validating, and ensuring its integrity are proposed.\",\"PeriodicalId\":326764,\"journal\":{\"name\":\"Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37489/2588-0519-2024-2-80-90\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37489/2588-0519-2024-2-80-90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper discusses the importance of properly organizing data for effective statistical analysis. The main problems that arise when recording research results due to the heterogeneity of information and the imperfections of standard approaches, as well as ways to address and prevent them, are presented. Simple principles for creating a research database, validating, and ensuring its integrity are proposed.
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