--> Abstract: Data Governance Implementation through QC2 Data Center Initiative, by Rodziah Daud, Peter Attewell, Omar Akbar, and Khairill Affandi Ahmad Shaari; #90105 (2010)

Datapages, Inc.Print this page

AAPG GEO 2010 Middle East
Geoscience Conference & Exhibition
Innovative Geoscience Solutions – Meeting Hydrocarbon Demand in Changing Times
March 7-10, 2010 – Manama, Bahrain

Data Governance Implementation through QC2 Data Center Initiative

Rodziah Daud1; Peter Attewell1; Omar Akbar1; Khairill Affandi Ahmad Shaari1

(1) Exploration Technical Services Department, Saudi Aramco, Dhahran, Saudi Arabia.

Saudi Aramco implements data governance in exploration data management through a workflow driven, Web-based interface environment, called QC2 (QC Squared) Data Center Initiative. This implementation ensures that exploration data is structurally managed in accordance with governance policies, standards, business rules and procedures and also ensures that the process is made transparent to data proponents and stakeholders.

Exploration data governance policy can be broadly characterized as a) safeguarding the data, and b) quality assurance of the data. We describe how the QC2 Data Center Initiative enforces solid data flow for each data type, and by cross reference with the data proponent ensures compliance with these policies. Specifically the implementation consists of five (5) major components: workflow governance, QC governance, architecture governance, security and access control governance and reporting governance.

Workflow governance from producer to user provides continuous authoritative data management over the data life cycle. Data stewardship and solid controls of governance processes are embedded in the workflow governance.

QC governance enforces consistency and accuracy of data at key stages of the workflow by identifying and eliminating the root causes of data error through collaboration with data stakeholders. The QC2 Data Center Model is driven by data validation rules (QC-1, QC-2 and QC-3) to ensure good data is used and bad data is identified.

Architecture governance controls and manages the environment of master data and the exchanges between master data repositories and applications.

Security and access control governance dictates that role-based data access security is enforced for all data types. Reporting governance maintains standards of audit reporting and provides transparency through fully automated quality reporting on demand at every part of the data flow.