{"title":"Information support of scientific research and development in medicine: The approaches and solutions","authors":"E. D. Dreytser, N. Lopatina","doi":"10.33186/1027-3689-2023-5-77-95","DOIUrl":null,"url":null,"abstract":"The authors discuss intellectualization of information analytics; in particular, they analyze the experience of medicine information support through the established system of databases and services of the Coсkrane Collaboration (Cockrane academic network). The authors reconstruct and explore the Cockrane method (model) of information analysis within the subject field of bibliography and informatics based on one of the authors’ personal experience of building systematic reviews of clinical trial results. The goal of the study is to reveal the potential and quality of the information analysis tools within the field of medicine, as well as to explore the feasibility and possibility of their adaptation and limitations in other fields. The study is based on the subject approach in bibliography and information analytics, informological approach, and theoretical tools of applied informatics. The structural functional and iterative methods were applied to study Cockrane through the prism of information analytics, professional user orientation, and knowledge management. The factors of user quality and performance of meta-analytical products for the purposes of evidence medicine are revealed; among them, source selection methods, data processing, procedural and organizational models, critical reviewing, and user differentiation in presenting information search findings. The analysis of meta-analytical information product building in evidence medicine enables to identify the range of methodological problems and promising vectors in the information studies.","PeriodicalId":42851,"journal":{"name":"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nauchnye i Tekhnicheskie Biblioteki-Scientific and Technical Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33186/1027-3689-2023-5-77-95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The authors discuss intellectualization of information analytics; in particular, they analyze the experience of medicine information support through the established system of databases and services of the Coсkrane Collaboration (Cockrane academic network). The authors reconstruct and explore the Cockrane method (model) of information analysis within the subject field of bibliography and informatics based on one of the authors’ personal experience of building systematic reviews of clinical trial results. The goal of the study is to reveal the potential and quality of the information analysis tools within the field of medicine, as well as to explore the feasibility and possibility of their adaptation and limitations in other fields. The study is based on the subject approach in bibliography and information analytics, informological approach, and theoretical tools of applied informatics. The structural functional and iterative methods were applied to study Cockrane through the prism of information analytics, professional user orientation, and knowledge management. The factors of user quality and performance of meta-analytical products for the purposes of evidence medicine are revealed; among them, source selection methods, data processing, procedural and organizational models, critical reviewing, and user differentiation in presenting information search findings. The analysis of meta-analytical information product building in evidence medicine enables to identify the range of methodological problems and promising vectors in the information studies.