Posts tagged nontraditional data
Big Data and the Sustainable Development Goals: Innovations and Partnerships to Support National Monitoring

With support from Partners for Review (P4R), SDSN TReNDS undertook a systematic review of the recent scientific literature on innovative data collection methods and the use of big data to support national monitoring of the SDGs. These methods were mapped against specific criteria to assess their feasibility, rigor, replicability, and sustainability between now and 2030 and the findings are catalogued in a repository. The results and findings of this review have helped to feed into this report, which considers the partnership processes required to enable uptake at the national level, including the policy, regulatory, and practical aspects relevant for partnerships.

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Towards A Framework For Governing Data Innovation: Fostering Trust In The Use Of Non-Traditional Data Sources In Statistical Production

With the rise of new technologies, the use of non-traditional data sources in recent years has increased exponentially. This research paper seeks to cultivate a better understanding of the governance factors that improve trust and confidence in the use of non-traditional data sources for official statistical production, with a focus on legal arrangements, quality assurance practices, and policy changes.

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