Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/308872 
Year of Publication: 
2023
Citation: 
[Journal:] AStA Wirtschafts- und Sozialstatistisches Archiv [ISSN:] 1863-8163 [Volume:] 17 [Issue:] 3 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 355-380
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
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.
Subjects: 
Climate risks
Climate-related data
Data gaps
Hub and spoke
Sustainable finance
Data integration
JEL: 
C81
E59
Q38
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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