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APPENDIX F INDIVIDUAL QUESTIONNAIRE ENGLISH VERSION AFRICAN POPULATION AND HEALTH RESEARCH CENTER HEALTH PROMOTING SCHOOLS PROJECT EDLINE EVALUATION (TO BE FILLED FOR EACH ELIGIBLE HH MEMBER) ALL
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To fill out the central data catalog, follow these steps: 1. Collect all relevant data from different sources such as databases, spreadsheets, and files.
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Organize the collected data into proper categories and subcategories based on their characteristics or functionalities.
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Ensure data quality by validating and cleansing the data to remove any duplicate, incorrect, or outdated information.
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Create metadata for each dataset, including attributes such as title, description, source, format, and any relevant tags or keywords.
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Establish a data governance framework to define roles and responsibilities for maintaining and updating the central data catalog.
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Choose a suitable cataloging tool or software that allows easy entry and retrieval of data, along with search and filtering capabilities.
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Regularly update the central data catalog by incorporating new datasets or modifications to the existing data.
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Ensure data security measures are in place to protect sensitive or confidential information.
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Promote awareness and usage of the central data catalog among relevant stakeholders to maximize its value and usefulness.

Who needs central data catalog?

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Various organizations and stakeholders benefit from having a central data catalog, including:
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- Data analysts and scientists who require quick access to relevant data for their research or analysis.
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- Business leaders and decision-makers who rely on accurate and up-to-date data for informed decision-making.
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- Data engineers and administrators responsible for managing and organizing data within an organization.
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- Government agencies or public institutions that need to share data with other departments or the general public.
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- Data-driven organizations that prioritize data discovery, collaboration, and data-driven innovation.
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- Researchers and academicians who rely on open data sources for their studies and experiments.
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Central data catalog is a centralized repository that contains information about all available datasets within an organization.
All organizations, businesses, or government agencies that collect, store, or manage data are required to file a central data catalog.
Central data catalog can be filled out by providing detailed information about each dataset, including but not limited to data source, data type, ownership, and access restrictions.
The purpose of central data catalog is to promote transparency, data sharing, and data governance within an organization.
Information that must be reported on central data catalog includes dataset name, description, data owner, data source, data type, and access restrictions.
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