Data management

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

Paper product, document management method, document management system, office supply and office equipment

Abstract: PROBLEM TO BE SOLVED: To provide a technique for managing a document by discriminating it on paper level by a method wherein the management of the document is performed through discriminants given to a paper sheet itself. SOLUTION: A document management system has a contents forming device 300 for forming contents including information such as characters, images or the like for printing, a printing equipment for printing on the paper sheet 1000, an approving device 500 functioning as an office supply for giving an approval to the document, a reader 200 for reading RFID 100 provided on the document, a document data management device 600 for managing document data and an LAN 900 for connecting the above devices with one another.

Cyberinfrastructure, Data, and Libraries, Part 2: Libraries and the Data Challenge: Roles and Actions for Libraries

Abstract: Most academic library services support the delivery and stewardship of text-based collections in a variety of print and digital formats. There are exceptions: libraries also manage and deliver images, multimedia, sound, maps, and various other artifacts of research and culture, including data and datasets. Today, libraries' roles in data management and data services tend to relate to a few well-defined categories of data: social science data, geo-referenced data (GIS), and bioinformatics.1

Data Management in Industry 4.0: State of the Art and Open Challenges

Abstract: Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This paper surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, and criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Second, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, and data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances in industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this paper thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field, and the industrial, manufacturing, and automation field. This paper can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

Benchmarking System for Evaluating Management Practices in the Construction Industry

Abstract: This paper presents the results obtained for the initial application of a management evaluation system whose objective is to provide a continuous improvement tool for construction companies through benchmarking management practices. The outlined system seeks to support a benchmarking system that has been recently established in the Chilean construction industry by incorporating qualitative management aspects in addition to performance indicators. Different analyses were made to determine trends in the sector and to establish correlations between qualitative aspects coming from surveys and quantitative aspects coming from performance indicators. Thirteen construction companies participated in the initial application of the benchmarking system. A correlation analysis found that safety performance was strongly related to companies having superior planning and control, quality management, cost control, and subcontractor management policies. A factor analysis found that central office priorities focus on strategic management policies having longer-term competitive impact, while site management emphasizes tactical management dimensions having short-term impact. There is scope to elevate the profile of continuous improvement initiatives to strategic significance at the central office level.