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DATA SHARING TAXONOMY RECORDS FOR SECURITY CONSERVATION Rajeswari Chandrasekaran1 and Chandrasekaran Nammalwar2 1,2Faculty of Computing, Botho University, Gaborone, BotswanaABSTRACT Here, we discuss the Classification is a fundamental problem in data analysis. Training a classifier requires accessing a large collection of data. Releasing personspecific data, such as customer data or patient records, may pose a threat to an individuals privacy. Even after removing explicit identifying information
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01
Identify the data to be shared and its purpose.
02
Determine the categories of data that fall under the taxonomy.
03
Fill out each category ensuring accurate descriptions and classifications.
04
Specify the data owner and any access restrictions.
05
Include information on how the data can be shared and with whom.
06
Review the completed records for accuracy and completeness.
07
Submit the records for approval from relevant stakeholders.

Who needs data sharing taxonomy records?

01
Data management teams responsible for governance and compliance.
02
Researchers and analysts who require access to data for projects.
03
Organizations needing to comply with data sharing regulations.
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Anyone involved in data-related collaborations or partnerships.
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Data sharing taxonomy records are structured classifications that categorize and organize data to facilitate sharing and interoperability among different systems and organizations.
Entities that collect, manage, or share data, including businesses, government agencies, and research institutions, are typically required to file data sharing taxonomy records to ensure compliance with legal and regulatory standards.
To fill out data sharing taxonomy records, individuals or organizations need to provide accurate data regarding the type of information being shared, the purpose of sharing, the parties involved, and any relevant compliance or regulatory details.
The purpose of data sharing taxonomy records is to establish a clear framework for data exchange, ensure proper handling of sensitive information, and promote transparency and accountability in data management practices.
Information that must be reported includes the data type, sources, intended use, security measures, stakeholders involved, and compliance with data protection regulations.
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