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Information Journal Paper

Title

Analyzing appropriate features of data for using in policy-making

Pages

  515-534

Abstract

 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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    APA: Copy

    NAMDARIAN, LEILA. (2019). Analyzing appropriate features of data for using in policy-making. POLITICS QUARTERLY: JOURNAL OF FACULTY OF LAW AND POLITICAL SCIENCE, 49(2 ), 515-534. SID. https://sid.ir/paper/951200/en

    Vancouver: Copy

    NAMDARIAN LEILA. Analyzing appropriate features of data for using in policy-making. POLITICS QUARTERLY: JOURNAL OF FACULTY OF LAW AND POLITICAL SCIENCE[Internet]. 2019;49(2 ):515-534. Available from: https://sid.ir/paper/951200/en

    IEEE: Copy

    LEILA NAMDARIAN, “Analyzing appropriate features of data for using in policy-making,” POLITICS QUARTERLY: JOURNAL OF FACULTY OF LAW AND POLITICAL SCIENCE, vol. 49, no. 2 , pp. 515–534, 2019, [Online]. Available: https://sid.ir/paper/951200/en

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