Digital Data Management Research Articles

ワークショップ(6)「デジタルデータの保存・管理–現場視点からの共有課題を考える」報告

ワークショップ(6)「デジタルデータの保存・管理–現場視点からの共有課題を考える」報告

Nomadic life archiving across platforms: Hyperlinked storage and compartmentalized sharing

People are today located in media ecosystems in which a variety of ICT devices and platforms coexist and complement each other to fulfil users’ heterogeneous requirements. These multi-media affordances promote a highly hyperlinked and nomadic habit of digital data management which blurs the long-standing boundaries between information storage, sharing and exchange. Specifically, during the pervasive sharing and browsing of fragmentary digital information (e.g. photos, videos, online diaries, news articles) across various platforms, life experiences and knowledge involved are meanwhile classified and stored for future retrieval and collective memory construction. For international migrants who straddle different geographical and cultural contexts, management of various digital materials is particularly complicated as they have to be familiar with and appropriately navigate technological infrastructures of both home and host countries. Drawing on ethnographic observations of 40 Chinese migrant mothers in Singapore, this article delves into their quotidian routines of acquiring, storing, sharing and exchanging digital information across a range of ICT devices and platforms, as well as cultural and emotional implications of these mediated behaviours for their everyday life experiences. A multi-layer and multi-sited repertoire of ‘life archiving’ was identified among these migrant mothers in which they leave footprints of everyday life through a tactical combination of interactive sharing, pervasive tagging and backup storage of diverse digital content.

Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data.

BackgroundTraditionally, digital health data management has been based on electronic health record (EHR) systems and has been handled primarily by centralized health providers. New mechanisms are needed to give patients more control over their digital health data. Personal health libraries (PHLs) provide a single point of secure access to patients' digital health data and enable the integration of knowledge stored in their digital health profiles with other sources of global knowledge. PHLs can help empower caregivers and health care providers to make informed decisions about patients’ health by understanding medical events in the context of their lives.ObjectiveThis paper reports the implementation of a mobile health digital intervention that incorporates both digital health data stored in patients’ PHLs and other sources of contextual knowledge to deliver tailored recommendations for improving self-care behaviors in diabetic adults.MethodsWe conducted a thematic assessment of patient functional and nonfunctional requirements that are missing from current EHRs based on evidence from the literature. We used the results to identify the technologies needed to address those requirements. We describe the technological infrastructures used to construct, manage, and integrate the types of knowledge stored in the PHL. We leverage the Social Linked Data (Solid) platform to design a fully decentralized and privacy-aware platform that supports interoperability and care integration. We provided an initial prototype design of a PHL and drafted a use case scenario that involves four actors to demonstrate how the proposed prototype can be used to address user requirements, including the construction and management of the PHL and its utilization for developing a mobile app that queries the knowledge stored and integrated into the PHL in a private and fully decentralized manner to provide better recommendations.ResultsTo showcase the main features of the mobile health app and the PHL, we mapped those features onto a framework comprising the user requirements identified in a use case scenario that features a preventive intervention from the diabetes self-management domain. Ongoing development of the app requires a formative evaluation study and a clinical trial to assess the impact of the digital intervention on patient-users. We provide synopses of both study protocols.ConclusionsThe proposed PHL helps patients and their caregivers take a central role in making decisions regarding their health and equips their health care providers with informatics tools that support the collection and interpretation of the collected knowledge. By exposing the PHL functionality as an open service, we foster the development of third-party applications or services and provide motivational technological support in several projects crossing different domains of interest.

Digital data management in the orthodontic practice: legal obligations

The digital era opens up the field of possibilities: web, e-mail, networks, optical fingerprints, digital storage... It will then be possible to optimize the use of the digital tool for both data collection and storage, information transfer, restitution, implementation of electronic signature, preservation of digital model... However, it must not alter the practitioner's care for his patients. Indeed, securing patients' medical data is an integral part of their care. Even if it is immaterial, their protection as to be effective, even at the physical level. The aim of this article is to list our obligations towards the virtual tool, the management modalities to avoid any prejudice. The research of the texts was carried out on Legifrance, CNIL, Pubmed and the jurisprudence. The authorization to collect data and the possibility to transfer them to a third part is mandatory. The conservation of these data in adequate conditions, both physical and digital, is essential to avoid the loss of the data and the consequent sanctions. The security of medical data requires the protection of the premises, computers and the Internet tool. The implementation of regulated protocols is the only guarantee of data security and good faith in front of the judge in case of loss. It requires the involvement of the entire healthcare team to implement effective procedures.

A review on the Feasibility and Application of Geospatial Techniques in Geotechnical Engineering Field

Geographic Information System (GIS) a new tool for digital data management, Graphical representation of areas with actual location, analysis, planning, designing of data and many more uses. To understand the application, significance, functions and scope of GIS a review has done, using reference of previous published research which will fill the gap between technology and techniques and gives a better idea about the different area and use of GIS in Geotechnical engineering. We have Search more than 100 research papers between 1980 and 2020 from different sources. The data relevant to the study was checked physically and rest discarded. From literatures different Data, methods, software’s, limitation, and area of use is expected to determined. land use/landcover data, agricultural soil data, engineering soil data, environmental data, interpolation of data for missing data, ground water data and different types of data which have spatial value can be used to get different results. This review has explored scope of GIS in different field, their application and analysis methods. The systematic collection and identification of GIS Data can facilitate any project and save the time, cost, and effort and increase the accessibility to digital Maps, Bore log data, lithology etc. This study will definitely help the new researcher to proper understand the GIS and fill the research gap in areas where the GIS is used in lesser way or even not used in technical work.

講演 6-1] デジタルデータの保存・管理 − 現場視点からの共有課題を考える

講演 6-1] デジタルデータの保存・管理 − 現場視点からの共有課題を考える

Authors’ Comment to the Topicality of Geonomy

We received your reviewer’s opinion regarding our article “The Topicality of Geonomy”, on the basis of which we formulate our answer as follows: Today, in practically all natural sciences (and even beyond!), there is – quite rightly so – a system of environmental relations, crosstalk, and demand, but these were (are) not built into a scientifically formulated environmental system approach. It is mandatory to ensure the publicity of environmental data in all EU Member States – however, the concept of ENVIRONMENT is undefined, and the nature of environmental data is the basis for legal disputes. The significance of this is crystallized in the application of IT technology: without an exact definition, digital data management is unsolvable; we cannot ensure the expectations formulated in the INSPIRE directive with a variable interpretation. Exact data interpretation is the basis for the management and organization of environmental data and for group formation, which is indispensable in network research – environmental modeling in our practical use.

Lesionia: A Digital Data Management System to Enhance Epidemiological and Clinical Data Management of Patients with Cutaneous Diseases

Lesionia: A Digital Data Management System to Enhance Epidemiological and Clinical Data Management of Patients with Cutaneous Diseases

Цифровой суверенитет в условиях глобализации: философский и правовой аспекты

The article features the problem of consolidating and understanding the digital sovereignty of the State and the individual. The author addresses the challenge of establishing a correlation between the idea of digital sovereignty and the global socio-political change. The paper focuses on the effect of modern trends of social development, i.e. accelerated social informatization and globalization, on the development of doctrine of digital sovereignty and its legal design. The author believes that the idea of digital sovereignty is a reaction to the transformation of the global social order, which resulted in new doctrinal provisions and legal norms. They give citizens the right to determine the process of formation, storage, and management of digital data, as well as to ensure their inviolability. The legal formalization of digital sovereignty can indicate either the protection of statehood and personality or, on the contrary, their absorption by structures of the global order. As a result, such categories as "sovereignty, "statehood, or "personality" may eventually lose their actual meaning and real content. The conceptualization of the phenomenon of neurosovereignty and its implementation programs might be the future of the theory and practice of sovereignty.

Supporting Healthcare-Associated Infection (HAI) Surveillance in Resource-Limited Settings: Lessons Learned, 2015–2019

Background: Since 2015, the CDC has supported the development and implementation of healthcare-associated infection (HAI) surveillance in resource-limited settings through technical support of case definitions and methods that are feasible with existing surveillance capacity and integration with clinical care to maximize sustainability and data use for action. Methods: Surveillance initiatives included facility-level implementation programs in Kenya, Sierra Leone, Thailand, and Georgia; larger national or regional network-level projects in India and Vietnam were also supported. For assessment and planning, surveillance capacities were grouped into 3 domains: staff, informatics, and diagnostic capacities. Based on these capacities, simplified case definitions surveillance methodologies were devised to balance resources and effort with the anticipated value and use of findings. Results: There was broad understanding of the importance of HAI surveillance; however, the required resources and other challenges (eg, training, staffing, quality of available data) were underappreciated. Staff capacities were often influenced by a lack of dedicated surveillance staff and limited experience in systematic data collection and analysis. Informatics capacities were generally limited by the lack of digital data management, nonstandardized clinical data collection and storage, and the inability to assign and maintain unique patient identifiers. We found that capacity for diagnostics, a critical component of traditional HAI surveillance systems, was limited by its availability, frequency of use, and inconsistent rationale in clinical care. We found that successful surveillance strategies were generally simple, matched existing capacities, and targeted specific HAI priorities identified by clinical teams. For example, in Kenya and Sierra Leone, participating facilities established, with minimal external support, simplified SSI surveillance among post–caesarean-delivery patients. These initiatives improved integration of surveillance with clinical care through encouraging participation of the clinical team in surveillance and planning. Furthermore, these models directly linked surveillance activities to improved patient care (eg, combined clinical checklists with surveillance data collection forms). Discussion: In resource-limited settings, the local cost and effort required to establish and sustain the necessary infrastructure for HAI surveillance can be substantial. Establishing actionable and sustainable HAI surveillance can be achieved through simplifying HAI surveillance to match existing capacities and can result in valuable surveillance programs, even in very resource-limited settings.Funding: NoneDisclosures: None

Digital contact tracing technologies in epidemics: a rapid review.

Digital contact tracing technologies in epidemics: a rapid review.

“You say potato, I say potato” Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies


 This paper explores models, concepts and terminology used in the Research Data Management and Digital Preservation communities. In doing so we identify several overlaps and mutual concerns where the advancements of one professional field can apply to and assist another. By focusing on what unites rather than divides us, and by adopting a more holistic approach we advance towards collective curation and preservation strategies.
 

Digital twin-based assembly data management and process traceability for complex products

Complex products such as satellites, missiles, and aircraft typically have demanding requirements for dynamic data management and process traceability. The assembly process for these complex products involves high complexity, strong dynamics, many uncertainties, and frequent rework and repair, especially in the model development stage. Achieving assembly data management and process traceability for complex products has always been a challenge. A recently proposed solution involves one-to-one mapping of the corresponding physical entity, also known as the digital twin method. This paper proposes a digital twin-based assembly data management and process traceability approach for complex products. First, the dynamic evolutionary process of complex product assembly data was analyzed from three dimensions: granularity, period and version. Then, a framework of digital twin-based assembly data management and process traceability for complex products was constructed. Some core techniques are: 1) workflow-based product assembly data organization and version management; 2) synchronous modeling of the product assembly process based on digital twin; and 3) hierarchical management and traceability of product assembly data based on digital twin. On this basis, an algorithm flowchart for generating a product assembly data package was created, which includes product assembly data management, assembly process traceability, and generation of a product assembly data package. Furthermore, the Digital Twin-based Assembly Process Management and Control System (DT-APMCS) was designed to verify the efficiency of the proposed approach. Some aerospace-related assembly enterprises are currently using DT-APMCS and achieving satisfactory results. Finally, a summary of our work is given, and the future research work is also discussed.

Providing Digital Infrastructure for Audio-Visual Linguistic Research Data with Diverse Usage Scenarios: Lessons Learnt

This article describes the development of the digital infrastructure at a research data centre for audio-visual linguistic research data, the Hamburg Centre for Language Corpora (HZSK) at the University of Hamburg in Germany, over the past ten years. The typical resource hosted in the HZSK Repository, the core component of the infrastructure, is a collection of recordings with time-aligned transcripts and additional contextual data, a spoken language corpus. Since the centre has a thematic focus on multilingualism and linguistic diversity and provides its service to researchers within linguistics and other disciplines, the development of the infrastructure was driven by diverse usage scenarios and user needs on the one hand, and by the common technical requirements for certified service centres of the CLARIN infrastructure on the other. Beyond the technical details, the article also aims to be a contribution to the discussion on responsibilities and services within emerging digital research data infrastructures and the fundamental issues in sustainability of research software engineering, concluding that in order to truly cater to user needs across the research data lifecycle, we still need to bridge the gap between discipline-specific research methods in the process of digitalisation and generic digital research data management approaches.

Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems

Metal Additive Manufacturing (AM) has been attracting a continuously increasing attention due to its great advantages compared to traditional subtractive manufacturing in terms of higher design flexibility, shorter development time, lower tooling cost, and fewer production wastes. However, the lack of process robustness, stability and repeatability caused by the unsolved complex relationships between material properties, product design, process parameters, process signatures, post AM processes and product quality has significantly impeded its broad acceptance in the industry. To facilitate efficient implementation of advanced data analytics in metal AM, which would support the development of intelligent process monitoring, control and optimisation, this paper proposes a novel Digital Twin (DT)-enabled collaborative data management framework for metal AM systems, where a Cloud DT communicates with distributed Edge DTs in different product lifecycle stages. A metal AM product data model that contains a comprehensive list of specific product lifecycle data is developed to support the collaborative data management. The feasibility and advantages of the proposed framework are validated through the practical implementation in a distributed metal AM system developed in the project MANUELA. A representative application scenario of cloud-based and deep learning-enabled metal AM layer defect analysis is also presented. The proposed DT-enabled collaborative data management has shown great potential in enhancing fundamental understanding of metal AM processes, developing simulation and prediction models, reducing development times and costs, and improving product quality and production efficiency.

Moving Towards a Single Smart Cadastral Platform in Victoria, Australia

Various jurisdictions are currently in the process of reforming their cadastral systems to achieve a smart and multidimensional system that provides a range of land administration services to the wider community. The state of Victoria in Australia has been actively modernizing its cadastral system since the 1990s by developing a digital cadastre database, an online digital cadastral plan lodgment portal named SPEAR, and smart cadastre services for validating and visualizing digital data in the ePlan (LandXML) format. However, due to challenges in the implementation of the smart cadastre lifecycle in Victoria, the uptake of ePlan is currently low across the surveying industry. This study aims to explore the feasibility of implementing a smart platform for managing ePlan lodgments in Victoria, which provides all required services within an integrated digital environment. To achieve this aim, the business and technical requirements for realizing a single smart cadastral platform are first explored. A proof of concept (PoC) is then developed to showcase a suitable approach for developing this platform. The evaluation of the PoC confirmed that integration of smart cadastre services into a single environment could significantly streamline the digital cadastral data management processes in Victoria.

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies

Execution Phase’s Integrity Model of the Offshore Facility Project

With using existing methods of change management for large projects, it is often not possible to track the full list of the results of making changes to a project, for example, an increase the total weight and overall dimensions of separate units. In the case of offshore oil and gas facilities (OF), this makes it impossible to locate the equipment in the available area and necessitates a new calculation, changing the piping, and complicate access to the equipment. As a result, the deadlines for completion of the facility are postponed and the total cost is increased, there is a need for a special order for equipment with higher prices.This research presents a project execution model (PEM), which considers the detailed composition and sequence of project stages and works in the OF life cycle, which are formed based on analogues - previously executed projects and developed completion criteria of works and project stages. It is proposed to integrate PEM with the methodology of digital engineering data management (DEDM), which contains an information model (IM) of the facility with created interconnections of the technical parameters of equipment units or total process unit. The DEDM allows generating information on the number and scale of deviations in a technical project after making changes to it in an automated mode, which significantly increases the rationality and accuracy of decision making. The result is a tool for the operator departments and contracting companies involved in the design and construction of the OF, which makes it possible to more accurately plan project costs, timelines for its execution and minimizes costs at various stages of the facility’s life cycle.