Information Management Framework Research Articles

Digital preservation of heritage urban facades: An integrated approach using historic building information modeling and shape grammar analysis

Traditional heritage architecture is renowned for its unique characteristics, which are shaped by local climatic, social, and construction requirements, as well as specific architectural styles that contribute to a sense of identity and place. Preserving the aesthetic and cognitive values inherent in traditional styles poses a significant challenge compared to other tangible assets. However, the digitization of built heritage offers a proactive approach to conservation. In this regard, the management of heritage building information through Building Information Modeling (BIM) plays a crucial role in preventive conservation. The utilization of multi-dimensional digital information models, known as Historic Building Information Modeling (HBIM), is one such approach. This study aims to explore the application of HBIM in representing built heritage, focusing specifically on the research gap pertaining to the need for an effective and integrated methodology for modeling information related to heritage urban facades. The objective is to generate parametric models within the framework of HBIM information management, thereby contributing to preventive preservation mechanisms. The methodology employed in this study consists of two main parts. Firstly, information is derived by analyzing the structural characteristics of heritage facades using Shape Grammar. Secondly, the acquired information is utilized to develop a comprehensive library of HBIM for heritage architectural elements. The results of this study demonstrate the proposed methodology's effectiveness in determining heritage urban facades' morphological, mathematical, relational, and Euclidean characteristics.

A Labyrinth of Public Information

Given the proliferation of electronic records in government agencies, public records are an increasingly valuable source of information for research, advocacy, and public oversight. Using an information management framework, this article reviews practices by four organizations in the US (National Security Archive, University of Washington Center for Human Rights, MuckRock, and Reclaim the Records) to request, manage, and use the information obtained through public access requests. Through case studies, findings pinpoint key obstacles and opportunities to strengthen research and advocacy using Freedom of Information laws, and how users of public records can shift from individual one-time pursuits of records to broader, ongoing and collaborative initiatives.

Forensic intelligence in Australia and New Zealand: Status and future directions

Forensic science is underutilised. Operating models restricted to the support of court outcomes do not address core requirements of contemporary policing and public security, which are to disrupt criminal activity and prevent crime. Forensic intelligence (FORINT) is a principal means of enhancing the role of forensic science, emphasising proactivity and cross-case, cross-crime domain insights. To catalyse implementation, a FORINT Specialist Advisory Group (SAG) has been established under the Australia & New Zealand Policing Advisory Agency (ANZPAA) National Institute of Forensic Science (NIFS). The SAG has established a concept of operations with four lines of effort – namely, to (i) promote awareness and consistency, (ii) shape the workforce, (iii) develop information management frameworks and (iv) guide operational implementation. This aims to shift Australia & New Zealand from its present state (of substantial interagency variability) to a state of widespread, consistent and effective FORINT delivery in terms of: (a) culture, (b) information management, (c) education & training, and (d) organisation & operating environment. There are risks to implementing FORINT, in terms of privacy/confidentiality, bias/misinterpretation, and resource impost. However, these are not necessarily FORINT-specific, and solutions or mitigations exist. Moreover, these issues are outweighed by the risks of not implementing FORINT – such as a failure to reveal threats, missed opportunities, and poor resource efficiency. This paper is a call to arms. For policing and laboratories – now is the time to implement and entrench FORINT. For academia – now is the time to build foundations for this future. For supporting industries – now is the time to develop partnerships and facilitate delivery.

Family Information Management in the Context of Inherited Conditions: An Integrative Review.

This review aimed to develop a framework to understand the process of information management in families with inherited conditions. Electronic databases were searched for relevant peer-reviewed articles. Articles were included if they were original research on families affected by any confirmed inherited condition, described how a family accesses, interprets, conveys, and/or uses information about the disease, included the recruitment of more than one family member, and used family as the unit of analysis. Data were analyzed through directed content analysis. Thirty-four articles from 27 studies were analyzed. We propose a framework for family information management consisting of the following domains: contextual influences, family information management behaviors, and family information management outcomes. This proposed framework expands the understanding of how families manage their genetic information in making health care decisions for their affected and at-risk relatives.

Exploration of the Deep Impact of Digital Platforms on Innovation and Entrepreneurship Activities of Entrepreneurs under the Information Management Framework

With the rapid development of information technology, digital platforms (DPs) have emerged as an indispensable aspect of the entrepreneurial landscape, which has a profound impact on entrepreneurial innovation and practice. However, there remains a gap in understanding the specific ways in which DPs influence the entrepreneurial process. Therefore, within the framework of information management theory, this study aims to deepen the understanding of how DPs foster entrepreneurial innovation and enhance entrepreneurial effectiveness, thereby enhancing the overall efficiency of DPs. Firstly, the concept of information management in contemporary social enterprise management is thoroughly examined and reviewed to establish a robust theoretical foundation for further research. Secondly, the conceptual framework and core elements of DPs are extensively discussed, elucidating their role and function in the entrepreneurial process. On this basis, a theoretical model illustrating the impact of DPs on entrepreneurial innovation and activities is formulated, along with six specific research hypotheses. These hypotheses encompass the effects of DPs on entrepreneur behavior, enterprise development, and the platform–entrepreneur relationship. To verify the validity of these hypotheses, a questionnaire survey involving 398 entrepreneurs is conducted to facilitate in-depth communication. Simultaneously, the various attributes of entrepreneurs are categorized, and the resulting classifications are thoroughly analyzed and evaluated. The results show that the DP plays a positive role in promoting the development of platform enterprises, improving intrapreneurship activities, and enhancing the ability of intrapreneurship. In addition, DPs can effectively regulate the relationship between platform enterprises and entrepreneurs and promote the self-development of entrepreneurs. Furthermore, the entrepreneurial growth process has positively influenced platform enterprises. This finding strongly supports the practical application of DPs and provides valuable guidance for entrepreneurs to leverage them effectively in fostering innovation and entrepreneurial activities in the digital era. Meanwhile, this offers crucial insights for platform enterprises on enhancing their service offerings to entrepreneurs and fostering the sustainable development of the entrepreneurial ecosystem. In summary, through rigorous theoretical discourse and empirical analysis, this study emphasizes the significant role of DPs in the entrepreneurial journey, providing robust backing for their continued advancement and utilization in the entrepreneurial realm.

EventGeoScout: Fostering Citizen Empowerment and Augmenting Data Quality through Collaborative Geographic Information Governance and Optimization

In this manuscript, we present EventGeoScout, an innovative framework for collaborative geographic information management, tailored to meet the needs of the dynamically changing landscape of geographic data integration and quality enhancement. EventGeoScout enables the seamless fusion of open data from different sources and provides users with the tools to refine and improve data quality. A distinctive feature of our framework is its commitment to platform-agnostic data management, ensuring that processed datasets are accessible via standard Geographic Information System (GIS) tools, reducing the maintenance burden on organizations while ensuring the continued relevance of the data. Our approach goes beyond the boundaries of traditional data integration, enabling users to fully harness the power of geospatial information by simplifying the data creation process and providing a versatile solution to the complex challenges posed by layered geospatial data. To demonstrate the versatility and robustness of EventGeoScout as an optimization tool, we present a case study centered on the Uncapacitated Facility Location Problem (UFLP), where a genetic algorithm was used to achieve outstanding performance on both traditional computing platforms and smartphone devices. As a concrete case study, we applied our solution in the context of the Málaga City Marathon, using the latest data from the last edition of the marathon.

Spatial Blockchain: Enhancing Spatial Queries and Applications through Integrating Blockchain and Spatial Database Technologies

The fusion of spatial data with blockchain technologies presents an innovative approach towards a decentralized, secure, and trustworthy framework for spatial information management. This integration brings spatial representation to the forefront of blockchain, opening avenues for various sectorial applications. However, challenges like slow processing times, restricted query capabilities, and consistency issues have been identified within the blockchain system. Addressing these challenges, we propose an optimized method for spatial queries by leveraging the high-performance capabilities of spatial databases. Unlike conventional off-chain query techniques, our approach synergistically combines hyperledger fabric with a specialized spatial database. This fusion facilitates distributed spatial queries within blockchain framework, incorporating spatial operation functionalities into smart contracts while preserving the distributed nature of nodes and spatial databases. Enhancing system security, we incorporate a dual-stage verification mechanism alongside a salt-hash storage strategy to counteract potential unauthorized alterations. Initial results validate the efficacy of our methodology in terms of performance and security. Building on this foundation, we introduce a rental transaction system that effectively merges spatial data with blockchain, demonstrating the feasibility and potential of integrating spatial information into the blockchain, especially in the realm of real estate.

PIMas a caring: Using ethics of care to explore personal information management as a caring process

AbstractThis paper explores the use of Fisher and Tronto's four phases of ethics of care (caring about, taking care of, caregiving, and care receiving) to three personal information management (PIM) frameworks, with a focus on PIM maintaining. The author argues that ethics of care can provide a theoretical foundation for PIM by using the four phases of caring to develop a perspective of PIM as a caring process using the categories of PIM as self‐care and PIM as caring for others. The paper begins by reviewing Fisher and Tronto's ethics of care, cites research in related fields that have applied ethics of care, and then describes how ethics of care could be applied to PIM research. To conclude, the author offers suggestions for how ethics of care can be applied to future PIM research in the following areas: better understand the motivations for PIM; the ways in which PIM can contribute to the social concepts of equality, justice, and trust and how social institutions can facilitate “good” PIM.

Management Information of Public Institutions

Background of the study: Information management in an organization or institution, especially for institutions related to public information needs, has an important role. Purpose: This study provides an overview and view of how the information management process is carried out in several public institutions, how it is currently developing, and what factors affect the implementation of information management in each public institution. Method: The method used in compiling this paper is a qualitative descriptive research. Using an interview and literature study with several literatures related to the information management framework implemented in several countries and institutions that the author has carried out himself. Findings: The results of this study provide an understanding of the situation and conditions in each institution in managing its information, so that it can be a view for other institutions in designing and managing information in their own environment. Conclusion: The implementation of information management that occurs in every public body is directly or indirectly influenced by the birth of the Public Information

Elements of an Information Management Framework

Frameworks support the realization of goals. Information management is essential in all sectors in today's environment. It is essential to establish an information management framework to guide the realization of the goal of information management in different sectors. Information Management Frameworks (IMFs) are scanty and are designed for specific contexts leading to difficulty in thinking when developing and evaluating IMFs in sectors that want to streamline their information management practices. Documented IMFs were reviewed to establish elements of an underlying information management framework. The findings show that people, processes & practices, technology, budget, leadership, facilities and facilitation, and rules & regulations are essential elements.

A web framework for information aggregation and management of multilingual hate speech

Social media platforms have led to the creation of a vast amount of information produced by users and published publicly, facilitating participation in the public sphere, but also giving the opportunity for certain users to publish hateful content. This content mainly involves offensive/discriminative speech towards social groups or individuals (based on racial, religious, gender or other characteristics) and could possibly lead into subsequent hate actions/crimes due to persistent escalation. Content management and moderation in big data volumes can no longer be supported manually. In the current research, a web framework is presented and evaluated for the collection, analysis, and aggregation of multilingual textual content from various online sources. The framework is designed to address the needs of human users, journalists, academics, and the public to collect and analyze content from social media and the web in Spanish, Italian, Greek, and English, without prior training or a background in Computer Science. The backend functionality provides content collection and monitoring, semantic analysis including hate speech detection and sentiment analysis using machine learning models and rule-based algorithms, storing, querying, and retrieving such content along with the relevant metadata in a database. This functionality is assessed through a graphic user interface that is accessed using a web browser. An evaluation procedure was held through online questionnaires, including journalists and students, proving the feasibility of the use of the proposed framework by non-experts for the defined use-case scenarios.

Digital transformation in facility management: An analysis of the challenges and benefits of implementing digital twins in the use phase of a building

Digital transformation and the adoption of technologies in the AEC-sector can lead to efficiency gains in facility management (FM). Digital twins, that is a living representative of the physical asset building, can facilitate real-time data gathering, data monitoring, data-based decision making and support predictive management. The purpose of this study is to analyse the gap between theory and practice regarding the application of digital twins for FM and to understand the benefits and challenges connected with its implementation during the use phase of a building. Despite the growing interest in this topic in academia, the concept of digital twins in connection with FM is rarely employed in practice in the AEC-industry. The findings obtained through a literature review and a set of semi-structured interviews with experts in the field, show that the main challenges for digital twins in FM relate to the organisational culture and that a robust framework for information management is a benefit for digital twins’ implementation. The adoption of digital twins in the built environment needs to be considered in the context of digital transformation. The study supports practitioners with the adoption of digital technologies for the built asset and suggests that future research should examine in further depth the challenges of implementing digital twins.

An Information System for Comprehensive Evaluation of Natural Resources and Ecosystem Services Value: Design and Case Application

The study of natural resources and ecosystem service value assessments is crucial for understanding the direct economic benefits and potential ecological, environmental, and social benefits of these resources. Existing research lacks a comprehensive information management framework design and application exploration for the practice process, and a unified and standardized technical framework has not been established, which makes it difficult to expand the functions in the future. This study uses data from various aspects such as statistical yearbooks, remote sensing satellites, and field studies, and adopts the market value method and alternative cost method to construct a natural resources and ecosystem service value indicator system and a comprehensive evaluation information system, taking Shaanxi Province as an example. The total value of natural resources and ecosystem services in Shaanxi Province is CNY 107.67 trillion, of which the value of natural resources is CNY 105.11 trillion and the value of ecosystem services is CNY 2.56 trillion. This study makes up for the deficiencies in the realization path of the existing natural resources and ecosystem service value accounting studies, solves the problems of a large number of data collection sources, integration of accession criteria, integrated assessment methods, and synchronized assessment updates in natural resources management in Shaanxi Province, and realizes the visualization and information management of natural resources and ecosystem service value accounting.

Information management role in logistics operations

Goal: Information management frameworks, models, and software’s have the capacity to enhance the competitiveness of logistics operations by maximizing information management. The study objectively examined information management role in logistics operations in medical supply stores. Methodology: The methodology utilized in this review includes; quantitative philosophy such as smart partial least square(PLS).An aggregate of five hundred and twenty-eight (528) questionnaires were duly completed of the six hundred and fifty-nine (659) administered to various participants. Results: The Findings based on the statistical outcome shows that maximal product tracking, optimal information transfer, expanded echelons, prompt distribution, and delivery are the indicating roles of information management in logistics operations. It is suggested that medical supply stores utilize information management models, frameworks, and software to aid effective distribution and flow in logistics operations echelons. Limitations: The limitations to this study is the coverage of post-utilization stage by comparing the expected outcome to the actual outcome after enhancing the information management procedures. Originality: The study demonstrates its novelty and pertinency by introducing a framework fixated on a comprehensive methodology, as it gives a viewpoint of information management in logistics operations. Thus, information management frameworks in logistics operations are optimized and analysed from the source to the destination. Finally, the development of medical supply stores and their capacity to survive depends on the proficiency of information management.

An Information Management Framework for Consumers to Use the Shared Express Packages

This paper proposes an information management framework for consumers to use the shared express packages. This framework designs the fundamental functions of the information management system, and gives the key categories of the managed information. The fundamental functions of the information management system include: user registration, user login, logistics information query and so on. The key categories of the managed information include: use flow information, package return information, bonus points information and so on. The information management framework proposed in this paper not only involves the use of shared express packages from merchants to consumers, but also involves the recycling of shared express packages from consumers to the receiving cabinets. This framework realizes the usage and recovery of the shared express packages, which can save the logistics packaging cost and reduce the energy waste. It is a beneficial practice for the development of recycling economy.

Knowledge and Digitalization: a way to improve safety of Road and Highway Infrastructures

This paper, with reference to the activity of the National Agency for the Safety of Rails and Road and Highway Infrastructures (ANSFISA), describes the application of digital methods and tools (BIM modeling; collaboration platforms, Machine Learning / Artificial Intelligence, Digital Twin, etc.) for the management of existing road infrastructure networks, on the basis of the principles contained in the current Italian Guidelines for risk classification and management, safety assessment and monitoring of existing bridges.The safety of infrastructures passes through the digitization of processes and tools aimed primarily at the knowledge of the assets, the evaluation of the risks (structural-foundational, seismic, hydrogeological) and the conscious optimal decisions. The optimal decision making have to be based on structured, quantitative and reliable information. The Agency's objective is to improve the digital information management of road infrastructure assets, in order to enhance the information, making it more accessible and with interoperable languages and consequently also provide a monitoring platform, as well as structuring the bases for subsequent modeling also, possibly, to support the training activities of inspectors using both information models and VR simulations in order to create an educational environment in which to train inspectors. The first step to be taken concerns the identification and insertion of data, by the managers, in the IT Archive of Public Works (AINOP).In this work, the Guidelines of the existing bridges have been imagined in an overall framework of digital information management of infrastructures, where BIM, understood as "multi-BIM" according to a multi-level approach, is one of the main tools, with a view to conscious risk mitigation.

A Multidimensional Information Management Framework for Strategic Digital Cities: A Comparative Analysis of Canada and Brazil

Management and information systems are essential for strategic cities since they provide customized digital services that connect specific information and its context to form a multidimensional construct. The objective of this study is to perform an information analysis in two cities to develop a strategic multidimensional framework. The research methodology was based on the model theory. It took into consideration the digital services from two cities supported by non-participatory observations and a bibliographic review. The data were collected hierarchically and compared with five related international frameworks using the infomapping technique. The framework comprised three constructs and ten multidimensional variables that related the conceptual theories to the developed and applied model. The research was conducted in Rio de Janeiro, Brazil, and Regina, Saskatchewan, Canada. The results indicated disconnections between one or more of the variables surveyed, limited customized services, and recurrent use of information in a bidirectional form. The conclusions emphasized the multidimensional character of information in terms of its dynamic nature and relations with distinct levels of information management. In addition, the study established a framework for strategic digital cities based on new interactive relations between public information management and digital services, including the city’s strategic policies. In terms of its contribution to the literature, this research highlighted the dynamic nature of information and strategic digital cities.

Blockchain-based framework for improving waste management and circular economy in construction

There is a current lack of management tools that guarantee control and traceability of actions taken by the generator of construction and demolition waste (CDW). Furthermore, the reinsertion of recycled CDW into productive cycle is necessary to foster a circular economy in construction sector. To address these challenges, this study builds a novel blockchain-based information management framework for CDW management in construction, which extends the applications of blockchain for improving circular economy in the sector. Using design science research as a methodological research strategy, this study presents and analyses a blockchain framework and its development processes. The framework performance was evaluated through simulation and quantitative and qualitative indicators. Through a SaaS (Software as a Service) concept, the system allows strengthens the connection between stakeholders looking for sustainable solutions for CDW management. These solutions are independent of the size or segment of the company and allow the creation of business opportunities within the industry itself that provide expertise to foster the circular economy such as reverse logistics, servitization, and industrial symbiosis.

Blockchain-based framework for a smart supply chain management in construction

The flow of information in construction supply chain stands out for being inefficient and lacking in automation. Some authors have identified the potential of blockchain technology to solve problems related to the lack of transparency, automation, productivity, and efficiency. This study builds a novel blockchain-based information management framework for a typical supply chain of the construction industry. Using design science research as methodological research strategy, this study presents and analyses a blockchain framework and its development processes. The framework performance was evaluated through its potential to generate organizational knowledge and its impact on the current management context. The challenges of the proposed system are the integration of Hyperledger systems, the development of channels and the layout of the supply chain within the blockchain, as well as the addition and control of members within the network. The main contribution of this study is the proposition of a SaaS (Software as a Service) concept platform with great potential to meet the needs and particularities of the Construction sector.

Enabling building digital twin: Ontology-based information management framework for multi-source data integration

The emergence of the digital twin concept can potentially change the way people manage built assets thoroughly. This is because the semantics-based model and linked data approach behind the digital twin, as the successor of classical BIM, provide strong capability in integrating data from fragmented and heterogeneous sources and thus enable better-informed decision-making. Taking buildings as the case, this paper demonstrates the ontology-based Information Management Framework and elaborates on the process to integrate data through a common data model. Specifically, the Foundation Data Model (FDM) representing the operation of buildings and embedded systems is developed and two patterns of integration architecture are compared. To conceptualise all the essential entities and relationships, the building topology ontology and BRICK ontology are reused and merged to serve as a feasible FDM. According to the characteristic of asset management services that digital twins support, two integration architectures are compared, including the data warehouse approach and the mediator approach. A case study is presented to elaborate on the implementation of these two approaches and their applicability. This work sets out the standardised and modularised paradigms for discovering, fetching, and integrating data from disparate sources with different data curation manners.