Enterprise data management in research organizations: data the way you want it

Abstract

Raw data and processed information are essential to organizations that perform operational analysis and build simulation systems. In such domains, the dissemination and management of this information is a daunting task. Not only must this data support a heterogeneous array of researchers, but also the requirements on this data are constantly changing. To achieve maximum utility, data of this sort must be made available in distributed locations and offered in various custom formats. Such approaches as relational-to-XML, XML-XSL-based custom formats, and web-accessible database reporting tools offer some solutions for this domain. However, there are some requirements that the current state of the art do not fulfill. In this paper, there is a characterization of the state of the art for this distributed data management domain and a discussion of the current short-comings.