Analyzing appropriate features of data for using in policy-making

Document Type : Research Paper


PhD in Science and Technology Policy, Iranian research institute for information science and technology (IRANDOC), Tehran, Iran


Good data as one of the most effective evidence for policy-making is able to remove policy barriers and provide policy reforms. However, many policy makers face barriers for using data to formulate policy. So, the aim of this study is to identify barriers and appropriate features of data for using in policy-making. In this regard, the barriers facing policy makers for using data in policy-making are identified by interview, and then appropriate features of data to overcome barriers are presented in three categories as dimensions, elements, and indicators by using framework analysis approach. The results show that the most important dimensions of data quality for using in policy-making are: availability, reliability, relevance, and presentation quality. Also, the most important elements of data quality for using in policy-making are: accessibility, timeliness, accuracy, consistency, integrity, independency, transparency fitness, and readability.


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