GASTAT Launches Editorial And Number Writing Guides For Enhanced Statistical Reporting

The General Authority for Statistics (GASTAT) has introduced the Editorial Policy for Content Writing and Translation, along with the Numbers Writing Guide. These resources aim to enhance the creation of statistical content such as publications, reports, and indices. They also provide insights into linguistic and technical aspects of writing statistical content.

The King Salman Global Academy for Arabic Language thoroughly reviewed both manuals. The incorporation of scientific and technical language aligns with GASTAT's identity and vision. These efforts involve offering linguistic insights in a clear manner and encouraging the use of modern scientific terms in statistical discourse.

According to the release, the Editorial Policy for Content Writing and Translation offers a concise scientific overview of key linguistic rules drawn from traditional linguistic sources and simplified for better clarity. It comprises three primary sections: guidelines for writing and editing content in Arabic, instructions for editing press and media materials, and guidelines for translating content from Arabic to English.

The Numbers Writing Guide and Editorial Policy release shows GASTAT's dedication to improving statistical practices and providing essential tools. These resources serve as comprehensive references for statistics and writing, editing, journalism, and media content creation. The goal is to present statistical information clearly for those working with statistical and economic content.

"This release reaffirms GASTAT's commitment to advancing the statistical sector and ensuring accessibility to data and information in Arabic and English, characterized by simplicity, clarity, and robust scientific foundation," reads the release.

These guides can help those interested in the Arabic language improve their writing skills in various areas. They are designed to streamline the development of statistical content by sharing information on linguistic and technical aspects of statistical content writing.

In conclusion, these efforts by GASTAT highlight their dedication to enhancing statistical practices through clear communication. The resources provided aim to make complex data accessible while maintaining a strong scientific foundation.

With inputs from SPA