Information
technology |
Information technology refers to technological equipment and skills as a source of change and as effective productivity tools that determine the way data are collected, processed, and disseminated/shared, and thus influence the way in which statistical offices are organized and managed. |
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| Knowledge management |
Knowledge management refers to building and maintaining information/skills (body of data, reports, expertise/human resources), and to how knowledge permeates through the system and is shared among statistical agencies of different countries. |
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| Integrity, credibility, respondent relations and relevance |
Integrity and credibility refer to professionalism, transparency and ethical standards that help to create a brand name, and define independence and separation from pernicious political influence.
Respondent relations cover suppliers, including private sector, and users of statistics, and involve selling the use of statistics to policy-makers and profiling statistical products to the public.
Relevance refers to the appropriateness or comprehensiveness of statistical products. |
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| Legitimacy and coordination |
Legitimacy refers to authority that arises from statistical legislation/arrangements, including legislation governing statistical agencies/units other than national statistical offices.
Coordination refers to management of relations among agencies producing statistics and between statistical and non-statistical agencies. |
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| Organizational models and strategic planning |
Organizational models refer to statistical systems with different degrees of centralization/decentralization.
Strategic planning is the path that chief statisticians may have in mind as they move their organisations forward. |
