Systems End of Life: What Happens to the Data?
Abstract: The ideas behind the Systems Development Life Cycle (SDLC), that all technologies go through the generic phases of planning, analysis, design, and implementation, ultimately finish with the idea that the technology will eventually end. Theoretically, this end happens for all technologies, both hardware and software. Yet when a system ends, there is strong evidence that replacement technologies echo the data of the legacy system. Academic literature provides little insight as to how this echo is carried forward from the old system into the new system. This lack of research is evident when contrasted with other areas of research concerning the systems development life cycle. Research examining use contexts of data, not limited to planning how data will be collected, analyzing data from use, modeling data from use to extract better understanding, and projecting where existing data will lead, have had extensive research (REFERENCES). This study will begin to examine how data from old systems is treated during the end of life of a given system. Is the data retired? Is the data added to legacy storage? Is the data transferred to a new system? Theoretically we will draw upon technology adoption constructs to shape the investigation into data at systems end of life. This investigation will start with the interview of information systems practitioners who have participated in systems end of life and replacement. These interviews are anticipated to help refine technology adoption constructs to system end of life data activities. Once refined, a survey instrument will be developed and distributed to validate the constructs.
Christian Greene * and Dr. Delmer Nagy
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