改进气候相关数据的创新--从建立数据中心汲取的经验教训

Hendrik Christian Doll, Gabriela Alves Werb
{"title":"改进气候相关数据的创新--从建立数据中心汲取的经验教训","authors":"Hendrik Christian Doll,&nbsp;Gabriela Alves Werb","doi":"10.1007/s11943-023-00326-w","DOIUrl":null,"url":null,"abstract":"<div><p>In this article, we present a framework to assess the challenges in the climate-related data landscape. From our perspective, we describe challenges and opportunities for innovation to close existing gaps in selected data quality dimensions for central banks and statistical offices. We further examine the role of networks in promoting innovation and international collaboration, highlighting practical experiences with a case study of the Sustainable Finance Data Hub at the Deutsche Bundesbank. Finally, we discuss how these lessons can provide avenues to enhance data quality in central banks and official statistics and outline directions for future research.</p></div>","PeriodicalId":100134,"journal":{"name":"AStA Wirtschafts- und Sozialstatistisches Archiv","volume":"17 3-4","pages":"355 - 380"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11943-023-00326-w.pdf","citationCount":"0","resultStr":"{\"title\":\"Innovation for improving climate-related data—Lessons learned from setting up a data hub\",\"authors\":\"Hendrik Christian Doll,&nbsp;Gabriela Alves Werb\",\"doi\":\"10.1007/s11943-023-00326-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In this article, we present a framework to assess the challenges in the climate-related data landscape. From our perspective, we describe challenges and opportunities for innovation to close existing gaps in selected data quality dimensions for central banks and statistical offices. We further examine the role of networks in promoting innovation and international collaboration, highlighting practical experiences with a case study of the Sustainable Finance Data Hub at the Deutsche Bundesbank. Finally, we discuss how these lessons can provide avenues to enhance data quality in central banks and official statistics and outline directions for future research.</p></div>\",\"PeriodicalId\":100134,\"journal\":{\"name\":\"AStA Wirtschafts- und Sozialstatistisches Archiv\",\"volume\":\"17 3-4\",\"pages\":\"355 - 380\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s11943-023-00326-w.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AStA Wirtschafts- und Sozialstatistisches Archiv\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11943-023-00326-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AStA Wirtschafts- und Sozialstatistisches Archiv","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s11943-023-00326-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们提出了一个评估气候相关数据领域挑战的框架。从我们的视角出发,我们描述了为缩小中央银行和统计局在选定数据质量方面的现有差距而进行创新所面临的挑战和机遇。我们进一步研究了网络在促进创新和国际合作方面的作用,并通过德意志联邦银行可持续金融数据中心的案例研究强调了实践经验。最后,我们讨论了这些经验教训如何为提高中央银行和官方统计的数据质量提供途径,并概述了未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Innovation for improving climate-related data—Lessons learned from setting up a data hub

In this article, we present a framework to assess the challenges in the climate-related data landscape. From our perspective, we describe challenges and opportunities for innovation to close existing gaps in selected data quality dimensions for central banks and statistical offices. We further examine the role of networks in promoting innovation and international collaboration, highlighting practical experiences with a case study of the Sustainable Finance Data Hub at the Deutsche Bundesbank. Finally, we discuss how these lessons can provide avenues to enhance data quality in central banks and official statistics and outline directions for future research.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Vorwort der Herausgeber Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production Automated Bayesian variable selection methods for binary regression models with missing covariate data Fairness als Qualitätskriterium im Maschinellen Lernen – Rekonstruktion des philosophischen Konzepts und Implikationen für die Nutzung außergesetzlicher Merkmale bei qualifizierten Mietspiegeln Interview mit Walter Krämer
×
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