Open and FAIR: Trends in scientific publishing and the implications for official statistics

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":null,"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":0.0000,"publicationDate":"2024-03-15","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-240020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
开放与公平:科学出版趋势及对官方统计的影响
FAIR 数据原则已成为科学研究数据领域的主要焦点,但对官方统计的影响却没有那么大。虽然有充分的理由,但研究界的 FAIR 发展可能会引起官方统计组织的兴趣。其中包括研究数据可用性的提高、机器可操作元数据领域的改进,以及对来源信息的关注,这可能会提高透明度和数据质量。本文介绍了一些值得关注的活动,作为官方统计人员关注这些发展的起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Outlier identification and adjustment for time series The production of official agricultural statistics in 2040: What does the future hold? The interdependence and cointegration of stock markets: Evidence from Japan, India and USA Identifying spatially differentiated pathways for rural transformation in Pakistan Crop sequence boundaries using USDA national agricultural statistics service historic cropland data layers
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1