وصف المؤشر: تأتي أهمية مؤشر جودة ال

وصف المؤشر: تأتي أهمية مؤشر جودة البيانات من أهمية الرقم الإحصائي الذي يتم استخراجه لما له من دور كبير في وضع سياسات وخطط وبرامج محددة ذات علاقة بالتركيبة السكانية، وتشمل جودة البيانات عدة مكوّنات أساسية هي:
• درجة تلبية الإحصاءات لحاجات المستخدمين.
• سلامة المنهجية من حيث:
استخدام الأسلوب العلمي في المعالجة الإحصائية. -
انسجام الإحصائية مع المفاهيم والمصطلحات المستخدمة. -
• الدقة: بحيث تكون الأرقام تعكس القيم الحقيقية.
• الوقت الملائم: الحرص على إصدار الإحصائيات في الوقت المناسب بحيث تصدر الإحصائيات المتعلقة في أي سنة في السنة التي تليها مباشرة) الفرق بين تاريخ البيانات وتاريخ إصدار الإحصائية (.
• الوضوح: من خلال عرض المصطلحات والمفاهيم المرافقة للبيانات ووجود رسوم توضيحية مثل الأشكال البيانية والخرائط
التي تضيف قيمة لعرض البيانات.
• تطبيق التصنيفات الدولية مثل:
1. التصنيف المهني الدولي
2. التصنيف الصناعي الدولي الموحد التنقيح الرابع - ISIC4

النتائج (الإنجليزية) 1:

Indicator: the importance of data quality index of important statistic that is extracted because of its major role in developing policies, plans and specific programs related to demographics, include several basic components of data quality are:• Degrees meet statistics to users needs.• Validity of the methodology in terms of:Using the scientific method in the statistical treatment. -Harmony with statistical concepts and terminology. -• Accuracy: so the figures reflect true values.• Time: ensure issuing timely statistics published statistics in any year in the year immediately following) the difference between data and statistical (issue date.• Clarity: by viewing terms and concepts associated with data and the existence of illustrations such as graphs and mapsThat add value to the data display.• Applying international classifications, such as:1. the international occupational classification 2. ISIC revision 4-ISIC4

النتائج (الإنجليزية) 2:

Description Indicator: The importance of data quality indicator of the importance of statistical number that is extracted because of its significant role in the development of policies and specific plans and programs related to the demographic makeup, and include several key components of data quality are:
• the degree to meet the statistics to the needs of the users.
• safety methodology where: the
use of scientific method in statistical treatment. -
Statistical unison with the concepts and terminology used. -
• Accuracy: so that the figures reflect the true values.
• timely: concern for the issuance of the statistics in a timely manner so that the issue related statistics in any year in the year immediately followed by ) the difference between the date of the data and the date statistical version (.
• Clarity: through the presentation terms and concepts associated with the data and the presence of illustrations such as graphs and maps
that add value to display the data.
• the application of the international classifications , such as:
1. international professional Category
2. international Standard industrial Classification fourth revision - ISIC4

النتائج (الإنجليزية) 3:

Description of the index: the significance of quality index data comes from statistical number that be extracted because of its significant role in the development of specific policies, plans and programmes related to the composition of the population, and include several basic components: data qualityThe class of statistics to the needs of users.• methodology in terms of safety:Use the scientific method of the statistical treatment. .Statistics are consistent with the concepts and terminology used. .• accuracy: the figures to reflect the true values.Time: to ensure timely issuance of statistics so as to make statistics for a year in the year immediately following the difference between history data the statistical date of issue).Definition: by introducing terminology and concepts associated with the data and illustrations, such as maps and graphsThat will add value to display the data.The application of international classifications, such as:1. The international classification of occupations2. ISIC, Rev. Fourth. ISIC4