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View metadata, citation and similar papers at core.ac.brought to you byCOREprovided by SOAR Social Science Open Access Repository.soar.infoOpenEnded Questions (Version 2.0) All, Cornelia Erstverffentlichung
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Identify the data sources and information needed for the project.
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Cleanse and standardize the data to ensure consistency and accuracy.
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Data and metadata quality refers to the accuracy, completeness, consistency, and reliability of data and metadata.
Typically, data and metadata quality is required to be filed by organizations or individuals who are responsible for collecting, managing, and using data.
To fill out data and metadata quality, one must ensure that the data is accurate, complete, and consistent. This may involve conducting audits, verification processes, and maintaining documentation.
The purpose of data and metadata quality is to ensure that data is reliable, trustworthy, and suitable for decision-making and analysis.
The information reported on data and metadata quality may include data sources, data collection methods, data processing procedures, and data validation techniques.
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