Data management

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

An empirical examination of benefits from implementing integrated management systems (IMS)

Abstract: In order to create competitive advantages and achieve sustainable development, many organisations have implemented quality, environmental and occupational health and safety management systems. There is a trend for enterprises to implement an integrated management system for overcoming the problems resulting from multiple management systems. Using structural equation modelling, this paper examines empirically the benefits obtained from implementing an integrated management system for enterprises. It is revealed that related experience in managing these systems is important for enterprises in implementing an integrated management system. There are significant positive correlations between ‘related experience’ and ‘integrated management system benefits’, and between ‘integrated management system implementation’ and ‘integrated management system benefits’. Based on these analyses, the benefits in implementing integrated management systems include: (1) decreased paperwork; (2) decreased management cost; (3) de...

Analysis of Data Management in Blockchain-Based Systems: From Architecture to Governance

Abstract: In a blockchain-based system, data and the consensus-based process of recording and updating them over distributed nodes are central to enabling the trustless multi-party transactions. Thus, properly understanding what and how the data are stored and manipulated ultimately determines the degree of utility, performance, and cost of a blockchain-based application. While blockchains enhance the quality of the data by providing a transparent, immutable, and consistent data store, the technology also brings new challenges from a data management perspective. In this paper, we analyse blockchains from the viewpoint of a developer to highlight important concepts and considerations when incorporating a blockchain into a larger software system as a data store. The work aims to increase the level of understanding of blockchain technology as a data store and to promote a methodical approach in applying it to large software systems. First, we identify the common architectural layers of a typical software system with data stores and conceptualise each layer in blockchain terms. Second, we examine the placement and flow of data in blockchain-based applications. Third, we explore data administration aspects for blockchains, especially as a distributed data store. Fourth, we discuss the analytics of blockchain data and trustable data analytics enabled by blockchain. Lastly, we examine the data governance issues in blockchains in terms of privacy and quality assurance.

Semantic Provenance for eScience: Managing the Deluge of Scientific Data

Abstract: Provenance information in eScience is metadata that's critical to effectively manage the exponentially increasing volumes of scientific data from industrial-scale experiment protocols. Semantic provenance, based on domain-specific provenance ontologies, lets software applications unambiguously interpret data in the correct context. The semantic provenance framework for eScience data comprises expressive provenance information and domain-specific provenance ontologies and applies this information to data management. The authors' "two degrees of separation" approach advocates the creation of high-quality provenance information using specialized services. In contrast to workflow engines generating provenance information as a core functionality, the specialized provenance services are integrated into a scientific workflow on demand. This article describes an implementation of the semantic provenance framework for glycoproteomics.

Golf data management system, data center, and method of managing golf data

Abstract: The present invention relates to a golf data management system that stores and manages golf score data, and to a data center and a golf data management method. This golf data management system includes a portable communication terminal that is carried by a player and a data center connected to the portable communication terminal via a communication network. The data center includes: an individual data storage unit that stores and manages play data supplied from the portable communication unit and practice data supplied from a practice data processing unit; a group data storage unit that manages performances of a group of accompanying players; and a common data storage unit that stores course map data of a plurality of golf courses. In response to an advice request containing measurement data obtained by a measuring unit in the portable communication terminal, the data center provides advice for each individual player based on the data stored in the individual data storage unit.

Impact of visual performance management systems on the performance management practices of organisations

Abstract: The purpose of this paper was to explore how visual strategy and performance management techniques impact performance measurement and management practices of organisations. A novel visual performance management approach is developed and implemented in qualitative case studies with seven manufacturing SMEs across Europe. The implementation cases demonstrate that visual management systems serve to support ongoing strategy development and implementation, facilitate performance measurement and review, enable people engagement, improve internal and external communication, enhance collaboration and integration, support the development of a continuous improvement culture and foster innovation. Additional explorative and longitudinal research is required to understand the long-term impact of such approaches in both small and larger organisations.