Data management techniques for unmanaged data

越来越多的计算机用户、越来越多的数据量和激增的数据使用方式产生了不适合传统数据管理解决方案的数据。我的研究假设是，随着计算机用户数量的增长，需要管理的此类数据将会越来越多。我的目标是使用传统的数据管理技术来利用这些非托管数据，特别是多方使用的异类数据。具体地说，我寻求(1)使用户能够更好地理解在非他们设计的系统中管理他们的数据，无论它是来自许多来源的不同数据的集合，还是他们自己存储在不同数据模型中的数据，以及(2)支持来自多个非传统数据源(例如，计算机辅助设计(CAD)或地理信息系统(GIS)数据)的数据的集成。

The growing number of computer users, increasing amount of data, and proliferating data usage styles yield data that does not fit well within traditional data management solutions. My research hypothesis is that as the number of computer users grow, there will be ever more of this data to be managed. My objective is to use traditional data management techniques to harness this unmanaged data, particularly heterogeneous data used by many parties. In particular, I seek to (1) enable users to better understand their data when it is managed inside a system that is not of their design, whether it is a conglomeration of disparate data from many sources, or their own data stored in a different data model and (2) enable integration of data from multiple non-traditional data sources (e.g., Computer Aided Design (CAD) or Geographic Information Systems (GIS) data).