Difference between revisions of "Data Governance"

From Clinfowiki
Jump to: navigation, search
Line 1: Line 1:
'''Data Governance:'''  
+
'''Data governance''' is an emerging [[Quality informatics|quality control discipline]] for managing data integrity, quality, and access in data-driven environments. While no consensus framework yet exists, data governance oversight committees are a frequently cited strategy to monitor enterprise data in healthcare and biomedical research. Furthermore, data governance relates to privacy, confidentiality and security by overseeing policies, practices and controls used by an organization to mitigate risk and protect patient health information. <ref name="ibm">International Business Machines IBM. The IBM data governance blueprint: Leveraging best practices and proven technologies. http://www-935.ibm.com/services/us/cio/pdf/data-governance-best-practices.pdf</ref>
 
+
Data governance is an emerging quality control discipline for managing data integrity, quality, and access in data-driven environments. While no consensus framework yet exists, data governance oversight committees are a frequently cited strategy to monitor enterprise data in healthcare and biomedical research. Furthermore, data governance relates to privacy, confidentiality and security by overseeing policies, practices and controls used by an organization to mitigate risk and protect patient health information. [3]
+
  
 
Provided below are three frequently cited definitions of data governance:   
 
Provided below are three frequently cited definitions of data governance:   
  
The Data Governance Institute defines data governance as “...a system of decision rights and accountabilities for information-related processes, executed according to agreed upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” [1]
+
The Data Governance Institute defines data governance as “...a system of decision rights and accountabilities for information-related processes, executed according to agreed upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods." <ref name="definition">Data Governance Institute. Definition of Data Governance. http://www.datagovernance.com/adg_data_governance_definition/</ref>
 
+
The Master Data Management Institute defines data governance as "...the formal orchestration of people, process, and technology to enable an organization to leverage data as an enterprise asset." [2]
+
 
+
IBM's Data Governance Council defines data governance as “... a quality control discipline for accessing, managing, monitoring, maintaining, and protecting organization information.” [3] 
+
 
+
  
References:
+
The Master Data Management Institute defines data governance as "...the formal orchestration of people, process, and technology to enable an organization to leverage data as an enterprise asset." <ref name="mdm">Master Data Management (MDM) Institute. MDM and Data Governance: Readiness Assessment. http://tcdii.com/PDF/A%20Summary%20Practical%20Guide%20to%20Systems%20Integrators%20&%20Consultancies%20for%20MDM%20&%20DG.pdf</ref>
  
1. Data Governance Institute. Definition of Data Governance. [http://www.datagovernance.com/adg_data_governance_definition.html]
+
IBM's Data Governance Council defines data governance as “... a quality control discipline for accessing, managing, monitoring, maintaining, and protecting organization information.” <ref name="ibm"></ref>
  
2. Master Data Management (MDM) Institute. MDM and Data Governance: Readiness Assessment.
+
==References ==
[http://tcdii.com/PDF/A%20Summary%20Practical%20Guide%20to%20Systems%20Integrators%20&%20Consultancies%20for%20MDM%20&%20DG.pdf]
+
<references/>
  
3. International Business Machines IBM. The IBM data governance blueprint: Leveraging best practices and proven technologies. [http://www-935.ibm.com/services/us/cio/pdf/data-governance-best-practices.pdf]
+
[[Category: Interface, Usability and Accessibility]]

Revision as of 21:05, 28 January 2015

Data governance is an emerging quality control discipline for managing data integrity, quality, and access in data-driven environments. While no consensus framework yet exists, data governance oversight committees are a frequently cited strategy to monitor enterprise data in healthcare and biomedical research. Furthermore, data governance relates to privacy, confidentiality and security by overseeing policies, practices and controls used by an organization to mitigate risk and protect patient health information. [1]

Provided below are three frequently cited definitions of data governance:

The Data Governance Institute defines data governance as “...a system of decision rights and accountabilities for information-related processes, executed according to agreed upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods." [2]

The Master Data Management Institute defines data governance as "...the formal orchestration of people, process, and technology to enable an organization to leverage data as an enterprise asset." [3]

IBM's Data Governance Council defines data governance as “... a quality control discipline for accessing, managing, monitoring, maintaining, and protecting organization information.” [1]

References

  1. 1.0 1.1 International Business Machines IBM. The IBM data governance blueprint: Leveraging best practices and proven technologies. http://www-935.ibm.com/services/us/cio/pdf/data-governance-best-practices.pdf
  2. Data Governance Institute. Definition of Data Governance. http://www.datagovernance.com/adg_data_governance_definition/
  3. Master Data Management (MDM) Institute. MDM and Data Governance: Readiness Assessment. http://tcdii.com/PDF/A%20Summary%20Practical%20Guide%20to%20Systems%20Integrators%20&%20Consultancies%20for%20MDM%20&%20DG.pdf