No abstract

And also requiring the use of evermore bizarre terminology to describe the volumes of data is existence. Megabytes (remember them?) quickly gave way to gigabytes, which in turn surrendered to terabytes, petabytes, exabytes, zettabytes and yottabytes. A yottabyte is 10 24 bytes i.e. 1,000,000,000,000,000,000,000,000 bytes. Future dictionaries will include hellabytes (apparently derived from having 'a hell of a lot of bytes' [3], brontobytes and geopbytes.

Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing rapidly, but we argue the full potential of data to improve development outcomes has not been realized yet. We outline 12 features needed for data to generate greater value for development and present case studies substantiating these features. We argue that a key reason why the transformational value of data has not yet been realized is that suboptimal data—data not satisfying these 12 features—are being supplied. The features are that the data should be of adequate spatial and temporal coverage (complete, frequent, and timely), should be of high quality (accurate, comparable, and granular), should be easy to use (accessible, understandable, and interoperable), and should be safe to use (impartial, confidential, and appropriate).