Wednesday, March 19, 2008
01:15 PM - 02:15 PM
This presentation is based on the experiences of conducting a data management review using the Data Management Body of Knowledge (DMBOK) framework as a resource and structure for assessment and recommendations. The goal of such a review was to provide recommendations to align a large scale system with data management best practices and to build capacity at agencies, local and national. Using the DAMA DMBOK functional framework, the review tasks entailed:
• developing a description of the system based on interviews and documentation reviews;
• mapping all system-related activities to DAMA functions;
• producing a gap analysis of current practices for applicable best practices; and
• formulating recommendations to align the system with industry best practices and standards utilizing the DAMA framework.
This presentation will focus on successful techniques, lessons learned, and challenges addressed in applying the DAMA functional framework to the enumerated review tasks. The presentation will include a discussion of developing a short-term project plan utilizing the framework. Industry sources, standards, and best practices for data management will be identified.
Donna Medeiros is a Senior Data Manager with over 20 years of experience in designing and maintaining large-scale data management systems. She has extensive experience writing data management plans; requirement, design, and testing documents; and SOPs. Her qualifications include a degree in Computer Science, SAS Base Programming Version 9 certification, and Certified Data Management Professional (CDMP) from the Data Management Association (DAMA). She has had extensive training in SAS, quality assurance, HIPAA security compliance, and CFR 21 Part 11. Ms. Medeiros has significant experience in data management task leadership for various large federal projects. She currently works with federal and state agencies to assess IT systems used for reporting, provides recommendations, and assists in the implementation and monitoring of the recommendations so that IT systems can report standardized data to be analyzed.