Statistical Journal of the IAOS最新文献

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Open and FAIR: Trends in scientific publishing and the implications for official statistics 开放与公平:科学出版趋势及对官方统计的影响
Statistical Journal of the IAOS Pub Date : 2024-03-15 DOI: 10.3233/sji-240020
Arofan Gregory
{"title":"Open and FAIR: Trends in scientific publishing and the implications for official statistics","authors":"Arofan Gregory","doi":"10.3233/sji-240020","DOIUrl":"https://doi.org/10.3233/sji-240020","url":null,"abstract":"The FAIR data principles have emerged as a major focus in the world of scientific research data, but have not had as large an impact on official statistics. While there are good reasons for this, FAIR developments within the research community may be of interest to official statistical organizations. These include the increased availability of research data, improvements in the area of machine-actionable metadata, and a focus on provenance information which could lead to increased transparency and data quality. Some activities of interest are described as a starting point for those in official statistics who may wish to follow these developments.","PeriodicalId":509522,"journal":{"name":"Statistical Journal of the IAOS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New Developments In Science Publishing In Official Statistics (Open Data, FAIR Publishing, And The Challenges For Science Publishing To Stay Relevant) 官方统计中科学出版的新发展(开放数据、FAIR 出版以及科学出版保持相关性的挑战)
Statistical Journal of the IAOS Pub Date : 2024-03-15 DOI: 10.3233/sji-240022
Pieter Everaers
{"title":"New Developments In Science Publishing In Official Statistics (Open Data, FAIR Publishing, And The Challenges For Science Publishing To Stay Relevant)","authors":"Pieter Everaers","doi":"10.3233/sji-240022","DOIUrl":"https://doi.org/10.3233/sji-240022","url":null,"abstract":"","PeriodicalId":509522,"journal":{"name":"Statistical Journal of the IAOS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SJIAOS Discussion Platform SJIAOS 讨论平台
Statistical Journal of the IAOS Pub Date : 2024-03-15 DOI: 10.3233/sji-240010
{"title":"SJIAOS Discussion Platform","authors":"","doi":"10.3233/sji-240010","DOIUrl":"https://doi.org/10.3233/sji-240010","url":null,"abstract":"","PeriodicalId":509522,"journal":{"name":"Statistical Journal of the IAOS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140241045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reflections on statistical leadership: Summary of a panel discussion at the WSC 20231 对统计领导力的思考:世界统计峰会 20231 小组讨论摘要
Statistical Journal of the IAOS Pub Date : 2024-01-18 DOI: 10.3233/sji-230123
Stephen Penneck, John Bailer, Ed Humpherson, Mariana Kotzeva, Denise Silva
{"title":"Reflections on statistical leadership: Summary of a panel discussion at the WSC 20231","authors":"Stephen Penneck, John Bailer, Ed Humpherson, Mariana Kotzeva, Denise Silva","doi":"10.3233/sji-230123","DOIUrl":"https://doi.org/10.3233/sji-230123","url":null,"abstract":"What qualities are needed by statisticians to achieve top leadership positions in academia, business, industry and government? Five leaders from statistical societies, national and international statistical offices, and academia share their experiences. They respond to five specific questions. Firstly, is leadership just needed by top management or do all statisticians have a role? If so, what is it? Secondly, do statisticians naturally make good leaders? What new skills do they need to acquire? What skills advantages do they have? Thirdly, the panel consider the question: did you work for people who were not good leaders? How did they fall short? What good role models did panellists have? And then, is it harder for women, and for other under-represented groups? And finally they were asked: what message do you have for young statisticians aspiring to leadership roles?","PeriodicalId":509522,"journal":{"name":"Statistical Journal of the IAOS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating data quality for blended data using a data quality framework 使用数据质量框架评估混合数据的数据质量
Statistical Journal of the IAOS Pub Date : 2024-01-09 DOI: 10.3233/sji-230125
Jennifer D. Parker, Lisa B. Mirel, Philip Lee, Ryan Mintz, Andrew Tungate, Ambarish Vaidyanathan
{"title":"Evaluating data quality for blended data using a data quality framework","authors":"Jennifer D. Parker, Lisa B. Mirel, Philip Lee, Ryan Mintz, Andrew Tungate, Ambarish Vaidyanathan","doi":"10.3233/sji-230125","DOIUrl":"https://doi.org/10.3233/sji-230125","url":null,"abstract":"In 2020 the U.S. Federal Committee on Statistical Methodology (FCSM) released “A Framework for Data Quality”, organized by 11 dimensions of data quality grouped among three domains of quality (utility, objectivity, integrity). This paper addresses the use of the FCSM Framework for data quality assessments of blended data. The FCSM Framework applies to all types of data, however best practices for implementation have not been documented. We applied the FCSM Framework for three health-research related case studies. For each case study, assessments of data quality dimensions were performed to identify threats to quality, possible mitigations of those threats, and trade-offs among them. From these assessments the authors concluded: 1) data quality assessments are more complex in practice than anticipated and expert guidance and documentation are important; 2) each dimension may not be equally important for different data uses; 3) data quality assessments can be subjective and having a quantitative tool could help explain the results, however, quantitative assessments may be closely tied to the intended use of the dataset; 4) there are common trade-offs and mitigations for some threats to quality among dimensions. This paper is one of the first to apply the FCSM Framework to specific use-cases and illustrates a process for similar data uses.","PeriodicalId":509522,"journal":{"name":"Statistical Journal of the IAOS","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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