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Effective Dissemination Strategies in Modern Statistical Systems

This workshop, led by Ada van Krimpen, focuses on the importance of a well-defined dissemination strategy in modern statistical systems. It outlines key components such as the types of outputs, release schedules, and different modes of publication. Special emphasis is placed on the necessity of aligning with user needs, including government, academia, and the public. Participants will explore the advantages of having a strategy that boosts the visibility and credibility of national statistical offices (CSOs), along with access policies ensuring equal distribution of information.

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Effective Dissemination Strategies in Modern Statistical Systems

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  1. INTERNATIONALSTATISTICAL INSTITUTE Workshop Leadership in modern Statistical Systems 5.3. dissemination strategy by Ada van Krimpen

  2. Dissemination strategy Why a dissemination strategy: • Use of statistics produced is key • Defines the products and way of dissemination • Users differentiation (government, policy institutes, academia, public) • Question: does an explicit dissemination strategy exist in your organisation? • Question: Is it available to the public?

  3. Elements of a dissemination strategy • Release schedule or calendar • Outputs: • Key indicators • Basic statistics • Information sheets • Analytical reports • Databases • Micro data

  4. Elements of a dissemination policy • Forms of publications: • Press releases • Statistical bulletins • Detailed publications • Databases through internet • Key publications (… explained) • Yearbooks • Micro data

  5. Elements of dissemination strategy • Press releases: editing and headlines (training) • Access policy: equal access to information • Confidentiality policy: protection of individual data • Pricing policy: define which information is for free, which to be paid for • Free databases available through the internet?

  6. Advantages of a dissemination strategy • Increases the visibility of the statistics and the CSO • Increases the credibility of the CSO • Strengthens the position of the CSO • Avoid ‘individual’ approaches and negotiations • Adhere to international standards and common policies

  7. Microdata • Increased demand by (international) research community • Access to micro data (individual or low aggregation) • Question: do you grant access to micro data in one form or other? • Conference of European Statisticians (CES) guidelines.

  8. Microdata (2) What kind of rules to put in place: • Kind of datasets (differentiate personal and business data) • Public use files; • Micro data sets on CD Rom • Remote access • To whom and which conditions • Research institutes • Policy institutes / Ministries • International organizations • Conditions: • Legal conditions and contracts. • Legal safeguards for ensuring public trust and respondents confidence. • For statistical purposes only! • Technical requirements • Output control • Pricing policy?

  9. Code of Practice (2) • Why it may fail: • Information provided by the NSO is essential • Things may work in theory not in practice • Self regulatory tool • If a country has reasons for misleading little will help • How to strengthen the impact of CoP: • Legislation? • Respect

  10. Links • UN Key Features of National Statistical System: Dissemination: Country reports: http://unstats.un.org/unsd/dnss/kf/dissemination_country_docs.aspx • Microdata: UNECE guidelines http://www.unece.org/stats/publications/Managing.statistical.confidentiality.and.microdata.access.pdf • Virtual Statistical System: www.virtualstatisticalsystem.org

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