{"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, 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, 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}
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.