{"id":3053,"date":"2021-07-08T18:28:39","date_gmt":"2021-07-09T01:28:39","guid":{"rendered":"https:\/\/www.lightsondata.com\/?post_type=tva_lesson&p=3053"},"modified":"2021-07-08T18:28:39","modified_gmt":"2021-07-09T01:28:39","slug":"data-governance-policies","status":"publish","type":"tva_lesson","link":"https:\/\/www.lightsondata.com\/course\/data-governance-policies\/","title":{"rendered":"Data Policies"},"content":{"rendered":"

Example of Policies<\/h2>\n

<\/h3>\n

1. Data Access Policy<\/h3>\n

Purpose<\/strong><\/p>\n

To ensure that employees have appropriate access to institutional data and information. While recognizing the organization’s responsibility for the security of data, the procedures established to protect that data must not interfere unduly with the efficient conduct of the organization’s business functions. <\/p>\n

Description<\/strong><\/p>\n

The value of data as an enterprise-wide resource is increased through its widespread andappropriate use; its value is diminished through misuses, misinterpretation, and unnecessary restrictions to its access.The organization will protect its data assets through security measures that assure the proper use of the data when accessed. Every data item will be classified by the relevant data steward to have an appropriate access level. Data access will be conducted in accordance with the policies established by the Privacy & Security Office.<\/p>\n<\/p>\n

2. Data Integrity & Integration Policy<\/h3>\n

Purpose<\/strong><\/p>\n

To ensure that organization’s data have a high degree of integrity and that key data elements can be integrated across functional units and electronic systems sothat organization’s employees may rely on data for information and decision support.<\/p>\n

Data integrity refers to the validity, reliability, and accuracy of data. Data integrity relies on a clear understanding of the business processes underlying the data and the consistent definition of each data element.<\/p>\n

Data integration, or the ability of data to be assimilated across information systems, is contingent upon the integrity of data and the development of a data model, corresponding data structures, and domains.<\/p>\n

Description<\/strong><\/p>\n

Enterprise data will be consistently interpreted across all enterprise systems according to the best practices agreed upon by the Data Governance Council, and it will have documented values in all its dedicated systems. Data administration will ensure that the needs of users of enterprise data are taken into consideration in the development and modification of data structures, domains, and values. It is the responsibility of each data steward to ensure the integrity of the data values for the elements within their charge.<\/p>\n

Enterprise data are defined as data that are maintained in support of a functional unit’soperation and meet one or more of the following criteria:<\/p>\n

    \n
  • the data elements are key fields, that is, integration of information requires the data element;<\/li>\n
  • the organization must ensure the integrity of the data to comply with internal andexternal administrative reporting requirements and regulations;<\/li>\n
  • the data are reported on or used in enterprise reports;<\/li>\n
  • a broad cross section of users requires the data.<\/li>\n<\/ul>\n

     It is the responsibility of each data steward, in conjunction with the Data Governance Council, to determine which core data elements are part of enterprise data domain.<\/p>\n

    Documentation of metadata on each data element will be maintained within an enterprise repository according to specifications provided by the Director of Data Governance and informed by the Data Governance Council. These specifications will include both the technical representation and definition of each element, as well as a complete interpretation that explains the meaning of the element and how it is derived and used. The interpretation will include acceptable values for each element, and any special considerations, such as timing within an academic calendar. All employees are expected to bring data issues and suggestions for improvements to the attention of the appropriate data stewards, the Data Governance Council, or the Data Governance office.<\/p>\n","protected":false},"template":"","class_list":["post-3053","tva_lesson","type-tva_lesson","status-publish","hentry","tva_courses-practical-data-governance","post-wrapper","thrv_wrapper"],"yoast_head":"\nLightsOnData<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lightsondata.com\/course\/data-governance-policies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Policies | LightsOnData\" \/>\n<meta property=\"og:description\" content=\"What is a data policy and where to look for in order to create them. 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