Constraints of Migrating Transplant Information System's Legacy Data to an XML Format For Medical Applications Use
Date of Award
Doctor of Philosophy (PhD)
Graduate School of Computer and Information Sciences
Lee J. Leitner
William L. Hafner
This dissertation presents the development of two methodologies to migrate legacy data elements to an open environment. Changes in the global economy and the increasingly competitive business climate are driving companies to manage legacy data in new ways. Legacy data is used for strategic decisions as well as short-term decisions. Data migration involves replacing problematic hardware and software. The legacy data elements are being placed into different file formats then migrated to open system environments. The purpose of this study, was to develop migration methodologies to move legacy data to an XML format the techniques used for developing the intermediate delimited file and the XML schema involved the use of system development life cycles (SDLC) procedures. These procedures are part of the overall SDLC methodologies used to guide this project to a successful conclusion. SDLC procedures helped in planning, scheduling, and implementing of the project steps.
This study presents development methodologies to create XML schemas which saves man-hours. XML technology is very flexible in that it can be published to many different platforms that are ODBC compliant and uses TCPIIP as its transport protocol.
This study provides a methodology that steers the step-by-step migration of legacy information to an open environment. The incremental migration methodology was used to create and migrate the intermediate legacy data elements and the FAST methodology was used to develop the XML schema. As a result the legacy data can reside in a more efficient and useful data processing environment.
Kenneth W. Revels. 2001. Constraints of Migrating Transplant Information System's Legacy Data to an XML Format For Medical Applications Use. Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, Graduate School of Computer and Information Sciences. (799)