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Organizations are increasingly introducing data science initiatives to support decision-making. However, the decision outcomes of data science initiatives are not always used or adopted by decision-makers, often due to uncertainty about the quality of data input. It is, therefore, not surprising...
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, thereby potentially limiting synergetic knowledge production. Data standardization is key to facilitating and improving the … use of data. Indeed, standardization is a precondition for the operation of industries in which cross-firm and cross … obstacles, and missing data. Despite the importance of data standardization, the role of the government in such standardization …
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This Supplement describes how the staff proposes to achieve further synergies by mapping the DQAF into the metadata structure of the DQP's other key component: (3) the data transparency initiatives comprising the Special Data Dissemination Standard (SDDS) and General Data Dissemination System (GDDS)
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