{"title":"公益统计:意义和重要性","authors":"Sofi Nickson","doi":"10.3233/sji-230116","DOIUrl":null,"url":null,"abstract":"Official statistics are widely considered to be public goods, however this paper explores a higher aspiration: that they also serve the public good. To achieve this goal, and provide value to societies worldwide, there is a need for discussion around what it truly means for statistics to serve the public good. This paper shares initial perspectives on the matter from the United Kingdom Office for Statistics Regulation (OSR) before demonstrating how serving the public good fits with customer-centric perspectives on value, and calling for interested parties to join this discussion so that we may work together in service of statistics for a global good.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":"83 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistics for the public good: What it means and why it matters\",\"authors\":\"Sofi Nickson\",\"doi\":\"10.3233/sji-230116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Official statistics are widely considered to be public goods, however this paper explores a higher aspiration: that they also serve the public good. To achieve this goal, and provide value to societies worldwide, there is a need for discussion around what it truly means for statistics to serve the public good. This paper shares initial perspectives on the matter from the United Kingdom Office for Statistics Regulation (OSR) before demonstrating how serving the public good fits with customer-centric perspectives on value, and calling for interested parties to join this discussion so that we may work together in service of statistics for a global good.\",\"PeriodicalId\":55877,\"journal\":{\"name\":\"Statistical Journal of the IAOS\",\"volume\":\"83 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Journal of the IAOS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/sji-230116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-230116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Statistics for the public good: What it means and why it matters
Official statistics are widely considered to be public goods, however this paper explores a higher aspiration: that they also serve the public good. To achieve this goal, and provide value to societies worldwide, there is a need for discussion around what it truly means for statistics to serve the public good. This paper shares initial perspectives on the matter from the United Kingdom Office for Statistics Regulation (OSR) before demonstrating how serving the public good fits with customer-centric perspectives on value, and calling for interested parties to join this discussion so that we may work together in service of statistics for a global good.
期刊介绍:
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.