Open Information Management Research Articles

Construction and effect of information management platform of life science experimental teaching center

To give full play to lab potential and fulfill the unique feature of training talents for valuing practice and seeking innovation, an intelligent, efficient, and open information management platform has been built in the experimental teaching center of life sciences in Northwestern Polytechnical University. This study constructs an intelligent, efficient and open source information management platform. The platform is composed of five modules: comprehensive lab management system, instrument and equipment management system, reagents and consumables management system, laboratory opening platform, and laboratory teaching management system. The use of the management platform has solved the problems of miscellaneous teaching data, insufficient sharing of teaching resources, conflict of course arrangement and low lab open utilization under the traditional management mode. It also stimulates the enthusiasm and initiative of students in innovation and practice, perfects the management mechanism of making teachers play a leading role in experimental teaching, and improves the work efficiency of laboratory managers.

Smart Health Monitoring and Management System for Organizations Using Radio-Frequency Identification (RFID) Technology in Hospitals or Emergency Applications.

In the public health domain, healthcare systems are a crucial part of the economy, transportation, education, health infrastructure, and military of any country. In this study, a system is proposed to implement smart people management, monitoring, and tracking processes that can be used in hospitals to automate and organize information management. For disease management in a public setting, measuring forehead temperatures is a standard method of identifying people for further treatment. To prevent disease transmission on campuses or in any public space, daily temperature checks for everyone have been mandated at the entrances to many public spaces. Although this task can be performed in seconds for an individual, substantial human resources are required to perform temperature checks for all people arriving at one or more specified checkpoints each day during an epidemic. As a result, a smart measuring, monitoring, and management system is urgently needed. We propose a complete solution that includes current Internet of Things technology that can be used in hospitals or any public space to automate and organize information management operations. This system offers a cost-effective means of enhancing reliability, privacy, and security for healthcare record management. One attractive feature of the system is its low cost due to the use of off-the-shelf devices and sensors that can be sourced and operated in our region. Recorded measurements of vital sig/ns are presented via a compact, user-friendly interface that can be monitored remotely. Because the proposed solution is based on mature existing hardware modules and software packages, any experienced information technology professional can quickly build an analogous monitoring and management system by following the instructions presented in this paper.

BIM AND GIS INTEGRATION FOR INFRASTRUCTURE ASSET MANAGEMENT: A BIBLIOMETRIC ANALYSIS

Abstract. The integration of Building Information Modelling (BIM) and Geographical Information Systems (GIS) is gaining momentum in digital built Asset Management (AM), and has the potential to improve information management operations and provide advantages in process control and delivery of quality AM services, along with underlying data management benefits through entire life cycle of an asset. Work has been carried out relating GeoBIM/AM to buildings as well as infrastructure assets, where the potential financial savings are extensive. While information form BIM maybe be sufficient for building-AM; for infrastructure AM a combination of GIS and BIM is required. Scientific literature relating to this topic has been growing in recent years and has now reached a point where a systematic analysis of current and potential uses of GeoBIM in AM for Infrastructure is possible. Three specific areas form part of the analysis – a review of BIM and Infrastructure AM and GIS and Infrastructure AM leads to a better understanding of current practice. Combining the two, a review of GeoBIM and Infrastructure AM allows the benefits of, and issues relating to, GeoBIM to be clearly identified, both at technical and operational levels. A set of 54 journal articles was selected for in-depth contents analysis according to the AM function addressed and the managed asset class. The analysis enabled the identification of three categories of issues and opportunities: data management, interoperability and integration and AM process and service management. The identified knowledge gaps, in turn, underpin problem definition for the next phases of research into GeoBIM for infrastructure AM.

Scalable Decentralized Indexing and Querying of Multi-Streams in the Fog

NOA-AID (Network Overlays for Adaptive information Aggregation, Indexing and Discovery on the fog) is an approach for decentralized indexing, aggregation and discovery of data belonging to streams. It is organized on two network layers. The upper layer is in charge of delivering an information discovery approach by providing a distributed index structure. The lower layer is devoted to resource aggregation based on epidemic protocols designed for highly dynamic environment, well suited to stream-oriented scenarios. It defines a flexible approach to express queries targeting highly heterogeneous data, as well as a self-organizing dynamic system allowing the optimal resolution of queries on the most suitable stream producers. The paper also presents a theoretical study and discusses the costs related to information management operations; it also gives an empirical validation of findings. Finally, it reports an extended experimental evaluation that demonstrated the ability of NOA-AID to be effective and efficient for retrieving information extracted from streams in highly-dynamic and distributed processing architectures.

Математична модель інформаційно-керуючої системи контролю операційної діяльності машиніста швидкісного поїзда.

The article researches application possibility of Samsonkin – Druz’ system approach. This method increases the safety of system "train's driver – the train – infrastructure of railway transport" activity. Authors have developed a new method for monitoring driver status, using individual norm. This monitoring method is a mathematical model of information management operations control system operator in the management of high-speed train. Application of the theory Samsonkin – Druz’ possible to determine the actual problems and future directions of improving the reliability of the human factor in ensuring traffic safety problem.

A Novel Image Identifier Generation Method Using Luminance and Location

It has been more than 40 years since the first digital imaging sensor was invented. For the last four decades, image acquisition functionality has continuously been improved, in terms of quality, size and cost. Consequently the digital imaging techniques started to be utilized in the digital camera industry and various component applications as well. According to the trend of the current applications of digital imaging, images are being produced not only by the conventional mechanism, such as regular camera, but also by the applications with digital image acquisition functionality, who aim to better understand the circumstances using an analysis of images. As a consequence of this trend, the amount of images created by diverse image related devices is immeasurably huge. Moreover the utilization of such voluminous amount of images demands a management system that can support information management operations, such as search, contents duplication and modification detection. These operations can be efficiently and effectively processed when the image related operations are performed by the usage of distinctive values, not by the image processing operations which require much more processing time. In order to meet the satisfaction of the requirement, we have been studied approaches that can utilize the line segments and the luminance areas. However, those approaches are disadvantage in the case of that an image contains the relatively large regions with sparse edges or stationary luminance. In order to resolve such circumstances, in this paper, we present a more improved approach, in the perspective of cost and requirement satisfaction. The proposed method mainly exploits luminance areas and pixel location, so that the produced image identifiers could satisfy one-to-one relationship between images and identifiers. With experimental evaluations, we demonstrate that our approach is most favorable considering cost-effectiveness and efficiency.

The Application of Data Mining Technology in the Remote Open Management System

This paper introduces the concept of database and data mining, combined with management system of quality assessment system and method of data mining technology. In this paper, applying the data mining skill to the field of remote open management system, introduces the development of data mining in China and the necessity and importance of data mining in remote open information management system. This thesis analyzes the main problems in the remote open management system. On the basis of the relevant researches both at home and abroad, it presents the significance of the application of data mining in remote open management system. It analyzes the needs of the system based on data mining and presents a detailed design and implication of such a system.

A Research on Construction of Information Management Platform for the Architectural Design Industry Based on the Life Cycle Theory

This study developed an information lifecycle-oriented information management system model for architectural design industry by combining information lifecycle theory with information management system for architectural design industry. In addition to improving weak/complicated processes during information management for architectural design industry, this integrated model merged information lifecycle theory on routine information management operations, and therefore enhances business sensitivity of information management and promotes effectiveness of information management. Furthermore, with the information management process reengineering, this paper studied the theory and framework of information lifecycle flow based on information process mechanism on integrated information management phases for architectural design industry. The paper established an analytical framework for the study of the process and mechanism of disaster information process reengineering and taking the architectural design industry for example, this paper analyzed diversified phases of integrated process for information management of architectural design industry. Key outcomes of this study include the demonstration and assessment of the information process mechanism and information management for architectural design industry based on information lifecycle theory. This study established a new direction for future research on information lifecycle-oriented process reengineering for architectural design industry.

Privacy protection in open information management platforms

Governments are increasingly interested in making their data accessible through open data platforms to promote accountability and economic growth. Since the first data.gov initiative was launched by the U.S. government, more than 150 city agencies and authorities have made over one million datasets available through open data portals. Open data are increasingly generating new business worldwide, providing citizens with a wealth of information that they can combine and aggregate in unprecedented ways. An important characteristic of open data environments is that once the data are published, it is difficult to anticipate how the data will be used. As a result, potentially innocuous datasets, once linked together, may lead to serious privacy violations, and powerful analytic tools may reveal sensitive patterns that were unknown at the time that the data were published. In this paper, we provide an introduction to data privacy and present some popular privacy models that have been proposed for privacy-preserving data publishing and knowledge hiding, focusing on their strengths and limitations. Subsequently, using QuerioCity (an open urban information management platform) as a use case, we explain the important challenges that open data platforms introduce with respect to data privacy.

Employing digital crowdsourced information resources: Managing the emerging information commons

This paper examines the ways loosely connected online groups and formal science professionals are responding to the potential for collaboration using digital technology platforms and crowdsourcing as a means of generating data in the digital information commons. The preferred approaches of each of these groups to managing information production, circulation and application are examined in the light of the increasingly vast amounts of data that are being generated by participants in the commons. Crowdsourcing projects initiated by both groups in the fields of astronomy, environmental science and crisis and emergency response are used to illustrate some of barriers and opportunities for greater collaboration in the management of data sets initially generated for quite different purposes. The paper responds to claims in the literature about the incommensurability of emerging approaches to open information management as practiced by formal science and many loosely connected online groups, especially with respect to authority and the curation of data. Yet, in the wake of technological innovation and diverse applications of crowdsourced data, there are numerous opportunities for collaboration. This paper draws on examples employing different social technologies of authority to generate and manage data in the commons. It suggests several measures that could provide incentives for greater collaboration in the future. It also emphasises the need for a research agenda to examine whether and how changes in social technologies might foster collaboration in the interests of reaping the benefits of increasingly large data resources for both shorter term analysis and longer term accumulation of useful knowledge.

Employing digital crowdsourced information resources: Managing the emerging information commons

This paper examines the ways loosely connected online groups and formal science professionals are responding to the potential for collaboration using digital technology platforms and crowdsourcing as a means of generating data in the digital information commons. The preferred approaches of each of these groups to managing information production, circulation and application are examined in the light of the increasingly vast amounts of data that are being generated by participants in the commons. Crowdsourcing projects initiated by both groups in the fields of astronomy, environmental science and crisis and emergency response are used to illustrate some of barriers and opportunities for greater collaboration in the management of data sets initially generated for quite different purposes. The paper responds to claims in the literature about the incommensurability of emerging approaches to open information management as practiced by formal science and many loosely connected online groups, especially with respect to authority and the curation of data. Yet, in the wake of technological innovation and diverse applications of crowdsourced data, there are numerous opportunities for collaboration. This paper draws on examples employing different social technologies of authority to generate and manage data in the commons. It suggests several measures that could provide incentives for greater collaboration in the future. It also emphasises the need for a research agenda to examine whether and how changes in social technologies might foster collaboration in the interests of reaping the benefits of increasingly large data resources for both shorter term analysis and longer term accumulation of useful knowledge.

A practical guide to digitizing a collection using Open Source Software: A Southern African perspective

The article provides an overview of the practical implementation of adigital library using open source software. Southern Africa has notfully embraced or incorporated open source software into their informationmanagement operations. This lack of adaptation is attributed to a number of reasons amongst which are lack of general awareness and the absence of appropriately trained librarians to take advantage of such technological sources. The article gives guidelines and recommendations on what to consider when planning to digitize a collection. The following issues will be looked at: digital rights management, institutional repositories, Metadata Encoding and Transmission Standard (METS is an XML Schema designed for the purpose of creating XML document instances that express the hierarchicalstructure of digital library objects) and its applications, the open archives initiatives, and open source software for digital libraries. The article also focuses on the practical steps in using open source software for digitizing. Open source software has been chosen because of its free availability.

Learning Processes and Information Management Operations Utilising a Class of Random Sums

The present paper concentrates on a geometric random sum of nonnegative, independent and identically distributed random variables. A stochastic derivation of such a random sum is established. Moreover, the paper provides an interpretation of the nonnegative geometric random sum as a constituent factor of learning processes in evaluating the performance of information risk control operations.

Towards open information management in health care.

The utilization of information technology as tool in health care is increasing. The main benefits stem from the fact that information in electronic form can be transferred to different locations rapidly and from the possibility to automate certain information management tasks. The current technological approach for this automation relies on structured, formally coded representation of information. We discuss the limitations of the current technological approach and present a viewpoint, grounded on previous research and the authors’ own experiences, on how to progress. We present that a bottleneck in the automation of the management of constantly evolving clinical information is caused by the fact that the current technological approach requires the formal coding of information to be static in nature. This inherently hinders the expandability of the information case space to be managed. We present a new paradigm entitled open information management targeting unlimited case spaces. We also present a conceptual example from clinical medicine demonstrating open information management principles and mechanisms.

Human resources for information management operations in Kuwaiti corporate companies

Investigates organizational arrangements and employment policies and practices of 31 Kuwaiti corporate companies in five selected information management operations: information organization and indexing, resource development, searching, information packaging, and competitive intelligence. Key human resource managers were interviewed for data collection. Investigates what organizational placement has been practised in these companies and who are the information professionals in terms of their education, professional background, and other significant affiliations. Specifically addresses issues related to employer perceptions about the preparedness of these professionals and the problems they faced in their employment. Finds that information and indexing activities were primarily relegated to secretarial staff. Information resource development was fragmented across different divisions of companies. Novices were conducting searches without any specialized training. Employers faced problems in identifying where to get professionals who had expertise in information packaging and presentation. A large number of them used local Kuwaitis for collecting competitor intelligence, as they had the edge of cultural familiarity.