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Data Management
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ARMA Resources on Data Management

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Data Management

Your ARMA International Resources

Data Management Defined

Data management is the practice of ensuring data integrity, reliability, security, and accessibility. It is focused on the architecture, practices, and processes of structured information. Data management is the tactical execution of data governance (an aspect of information governance) concerned with the quality and accessibility of data.

ARMA Guide to the Information Profession

Definitive ARMA Resources

 The ARMA Guide to the Information Profession

The ARMA Guide to the Information ProfessionThe ARMA Guide To The Information Profession (originally, the Information Body of Knowledge [InfoBOK]) is the community-driven open source body of knowledge for the Information Profession. An Information Professional is anyone who, for one of their major job tasks, manages or governs information (content, data, documents, knowledge, or Records), the systems that contain information, or the policies and practices by which information workers must abide.

The ARMA Guide To The Information Profession ("ARMA Guide") establishes the major areas of knowledge which must be attained to successfully be an Information Professional and provides a common terminology, understandings, and strategies amongst the various sub-disciplines of the Information Profession.

The ARMA Guide is also available in an expanded version with commentary, analysis, and put in the larger context of a comprehensive understanding of the Information Profession in the book INFORMATION: The Comprehensive Overview of the Information Profession by Nick Inglis, also available through ARMA for purchase.

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 Records and Information Management Core Competencies, 2nd Ed. (PDF)

RIM Core CompetenciesRecords and information management (RIM) professionals at all stages of their career can use Records and Information Management Core Competencies, 2nd Ed. to identify their proficiency in each of six defined domains: Business Functions, RIM/Information Governance Practices, Risk Management, Communications and Marketing, Information Technology, and Leadership.

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Data Management Key Points

  1. Data management is the tactical execution of data governance.
  2. Data management ensures data integrity.
  3. Data management enacts data structure practices.
  4. Data management includes storage practices of data.
  5. Data management looks towards extraction techniques in partnership with value-focused disciplines such as data science and business analysis.
  6. Data management is generally responsible for data cleansing as a piece of data integrity.
  7. Data management should enable timely and relevant access to data.

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