Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.

Analysis of quality management practices in services

Abstract: Theory building efforts in quality management have begun in earnest. However, while services continue to dominate the developed economies of the world, these studies have mostly focused on manufacturing firms. Research that addresses this limitation by specifically addressing quality management in service organizations is presented in this paper. Through a survey of 170 US service firms, this study empirically develops and validates 11 constructs for quality management in services. A comparison between this study and other empirical quality management studies highlights many distinct quality management constructs in services. It also shows that all empirical studies have some gaps in the coverage of their constructs, reiterating the need for continued quality management theory building research in services and manufacturing.

Data management in solid-state storage devices and tiered storage systems

Abstract: A method for managing data in a data storage system having a solid-state storage device and alternative storage includes identifying data to be moved in the solid-state storage device for internal management of the solid-state storage; moving at least some of the identified data to the alternative storage instead of the solid-state storage; and maintaining metadata indicating the location of data in the solid-state storage device and the alternative storage.

Adaptive Case Management: Overview and Research Challenges

Abstract: Case management refers to the coordination of work that is not routine and predictable, and requires human judgment. Case management has applications in many domains such as healthcare, legal, police detective, social work, etc. The common aspect of such domains is that the work procedure cannot be prescribed into machine programs, instead the work is highly variable and must be figured out by knowledge workers each time. They might start with high-level guidelines and frameworks, but the sensitive dependence upon the details of the case mean that the work patterns emerge from the case as more information becomes available. Knowledge workers must make decisions on the course of action as the case proceeds. Traditionally case management has been supported by custom-built applications for each domain. There are approaches that attempt to standardize work practices without appreciating the full range of required responses. There is a push in industry from different vendors in areas such as enterprise content management, customer relationship management and business process management also to position their products as case management applications. In this article, we will review trends in industry and selected work in academia in the case management space, to identify challenges that the industry and the research community are facing in supporting knowledge workers in an adaptive and flexible manner, where systems need to support the work while should keep the knowledge workers in control.

A Survey on Trajectory Data Management, Analytics, and Learning

Abstract: Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage and analyze the data being produced. In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only and spatial-textual trajectory data, and trajectory clustering. We also explore four closely related analytical tasks commonly used with trajectory data in interactive or real-time processing. Deep trajectory learning is also reviewed for the first time. Finally, we outline the essential qualities that a trajectory data management system should possess in order to maximize flexibility.

System and method for the automated release of a vehicle to one of a plurality of different users

Abstract: An automated vehicle release system including a centralized data management system and a vehicle to be released to one of a plurality of users. The vehicle may have original equipment window glass, a local computer in wireless communication with the centralized data management system, and an interactive interface including the window glass and a touch sensor associated with the window glass. The touch sensor is in communication with the local computer, and the interactive interface is accessible by the user from outside the vehicle and through the window glass. The centralized data management system receives data entered into the local computer by the user via the interactive interface. Release of the vehicle to the user is authorized by the centralized data management system in response to the data entered by the user and is actuated by the local computer in response to an authorization signal received from the centralized data management system. Alternatively, instead of the vehicle having an interactive interface including the window glass, a user interface to the system may include a communication device separate from and located outside the vehicle and in selective communication with the local computer or the centralized data management system, release of the vehicle to the user through the local computer being in response to the data received from the communication device and the local computer having received the authorization signal from the centralized data management system.