IDQ Webinars: with Dr Laura Sebastian-Coleman
Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework
Laura Sebastian-Coleman will discuss the challenges of measuring data quality and review the Data Quality Assessment Framework (DQAF) described in her forthcoming book, Measuring Data Quality for Ongoing Improvement. Most experts agree that the ability to measure the quality of data is critical to improving the quality of data; but many practitioners struggle with how to measure.
The Data Quality Assessment Framework is a descriptive taxonomy that enables a common understanding of data quality measurement and assessment. It defines generic patterns of measurement related to the dimensions of completeness, timeliness, validity, consistency, and integrity. These patterns can be used to perform initial assessment of data or to define specific metrics for in-line measurement or periodic assessment.
Attending this webinar will provide you with insight on how to approach data quality measurement in your organization.
About the Author
Laura Sebastian-Coleman, a data quality architect at Optum Insight, has worked on data quality in large health care data warehouses since 2003. Optum Insight specializes in improving the performance of the health system by providing analytics, technology, and consulting services. Laura has implemented data quality metrics and reporting, launched and facilitated Optum Insight’s Data Quality Community, contributed to data consumer training programs, and has led efforts to establish data standards and to manage metadata. In 2009, she led a group of analysts from Optum and UnitedHealth Group in developing the original Data Quality Assessment Framework (DQAF) which is the basis for Measuring Data Quality for Ongoing Improvement.
An active professional, Laura has delivered papers at MIT’s Information Quality Conferences and at conferences sponsored by the International Association for Information and Data Quality (IAIDQ) and the Data Governance Organization (DGO). From 2009 to 2010, she served as IAIDQ’s Director of Member Services.
Before joining Optum Insight, she spent eight years in internal communications and information technology roles in the commercial insurance industry. She holds the IQCP (Information Quality Certifi ed Professional) designation from IAIDQ, a Certifi cate in Information Quality from MIT, a B.A. in English and History from Franklin & Marshall College, and a Ph.D. in English Literature from the University of Rochester (NY).
About the Author
Robin Rappaport is the Data Quality Team Leader responsible for delivery of the Data Quality Initiative for Research Databases at the Internal Revenue Service (IRS). Her work and that of her team contributed to the IRS being awarded a Computerworld Honor and a Government Computer News (GCN) Gala Award. She has over 25 years of experience as a Data Quality practitioner. Her undergraduate degree was in Economics with Computer Science. Her graduate work was in Operations Research with a concentration in Mathematical Modeling in Information Systems. She has worked in both private (6 years) and public sectors (since June 1990). Her positions include Computer Programmer, Systems Analyst, and Operations Research Analyst.
In addition to the International Association for Information & Data Quality (IAIDQ), she is a member of the Institute for Operations Research and Management Science (INFORMS). She was Chairman, Individual Membership for the Washington, D.C. chapter from 1987- 1990. She was elected Secretary and served from 1990 - 1991.
She lives in Baltimore, Maryland USA with her husband and their four children. She is also a Girl Scout Leader.
Contact Robin by email at robin [dot] rappaport [AT] iaidq [dot] org