Interoperability Framework Research Articles

A Land Administration Data Exchange and Interoperability Framework for Kenya and Its Significance to the Sustainable Development Goals

Sharing land data from one department to the other is a continuous process. A solid structure and a set of guidelines on how to share them is to be put in place as a foundation for the development of a land administration data exchange and interoperability framework in support of data acquisition, land transactions and distribution of land data. In this research, the application of the ISO Framework for Enterprise Interoperability (FEI) as a standard is the starting point. Utilising the Land Administration Domain Model (LADM) profile for Kenya as a base, an interoperability framework in support of land administration in Kenya is developed that addresses concerns, removes barriers and selects the approach for implementation. Due to the critical nature of land, it fits into the United Nations 2030 sustainability agenda. During the development of the Kenyan profile, four country-specific issues in the context of people-to-land relationships have been identified and modeled. The mapping of those issues relevant to the sustainable development goals supports the achievement of those goals so that all related targets and indicators can be attained. Using GIS tools, the implementing and testing of the new LADM profile for Kenya is not a difficult task. By using existing land data combined with newly collected data in the LADM-compliant database, a complete and accurate workflow is assured. Integration with external databases is useful for improving efficiency and eliminating duplication. Data collection with all stakeholders and validation through public inspection are recommended.

Thoughts on a Decade of Fragments, Reconstructions, and IIIF

Abstract: Digital image interoperability has helped to fuel the growth of interest in, and emerging practices to support, areas of fragmentology devoted to reunification and aggregation. From early thought-experiments hypothesizing the possibility of regathering the dispersed Ege fragments through non-interoperable static websites and finally to re-usable digitally resequenced manuscripts, this essay traces the driving use-cases that led to the development of the International Image Interoperability Framework (IIIF) and that protocol’s current role in digital fragment studies. The author reflects on the state of the field after nearly a decade of IIIF use and development, offers cautionary thoughts for both current software design and data modeling practices, and suggests potential strategies for ensuring long-term sustainability for the scholarly outputs of digital reconstruction projects.

Novel framework for BIM interoperability for sustainability and green buildings - an application for concrete structures

The construction industry has a great impact on the environment, therefore sustainable construction presents itself as a growing requirement of society. However, the concern with green buildings must not only be considered during the construction stage, but also during the entire life cycle of the building, integrating all stages from the design up until the demolition. Ensuring that the information permeates this lifecycle without data losses is vital. This way, efficient interoperability can support sustainability, allowing data to feed the process, and promoting the creation of more sustainable buildings. BIM (Building Information Modeling) arises as a means to support interoperability improvements in the AEC (Architecture, Engineering, and Construction) industry, by sharing models through open formats and enabling communication amongst actors. This paper presents a framework for BIM interoperability, with the goal to support knowledge organization and aid users in the decision-making processes. It will allow users to track sustainability concepts throughout the entire green BIM lifecycle and to improve processes in the construction industry toward more interoperable processes, minimizing data loss, and improving communication and efficiency. The framework is presented through process mapping techniques to analyze and integrate sustainability concepts using BIM throughout the lifecycle of a building. This framework considers not only data interoperability but also other aspects such as process, business, and service interoperability. Also, an application of the framework is described, using the case of cast-in-place concrete structures. Research findings identified the critical data points in the lifecycle of concrete structures which can influence sustainability.

Human Factor Health Data Interoperability.

Comprehensive health data interoperability is recognized as an essential element of high-functioning and accountable health service. Canada is lagging in health data interoperability compared to international comparators, and lacks a comprehensive approach to human factor interoperability, defined as system-level relationships that impact the capacity of health sector stakeholders to adopt harmonized health data standards and technology. Without addressing these system-level relationships, the adoption of harmonized health data standards and technology will be obstructed and Canadians will be underserved. The proposed health data interoperability framework articulates the factors that Canada needs to address to optimize health data design to support quality health programs and services.

The Development of Air Traffic Management Information Exchange Interoperability Framework for Civil Aviation Authority of Malaysia

The Development of Air Traffic Management Information Exchange Interoperability Framework for Civil Aviation Authority of Malaysia

Comparing International Military Response to COVID Utilizing Three Interoperability Frameworks

Comparing International Military Response to COVID Utilizing Three Interoperability Frameworks

Integration technologies in laboratory information systems: A systematic review

Clinical laboratories have evolved with technological advancements through integrating various subsystems into Health Information Systems (HIS), particularly the Laboratory Information System (LIS). The LIS automates processes, manages results, and interfaces with healthcare information sources. Challenges include workflow inefficiencies and data interpretation issues. Despite increased data accessibility, managing clinical data across systems remains complex. Integrating laboratory machines into LIS is essential for optimizing healthcare delivery, requiring effective integration technologies. This study aims to synthesize the existing empirical studies on the utilization of integration technologies for Software-to-Software (S2S) communication in automating clinical laboratory processes. This study systematically examined integration technologies in LIS using PubMed and following PRISMA 2020 guidelines. The three-phase methodology included a scoping analysis, methodological analysis, and a gap analysis, focusing on S2S communication, interoperability frameworks, data standards, communication protocols, and challenges in LIS integration technologies. Analysis of 28 sample studies revealed a complex landscape in LIS integration shaped by end-users, care providers, and researchers. Clinical laboratories prioritize integration, focusing on patient data and sustainability. Standards like HL7 and FHIR ensure interoperability. Eleven methodologies highlight system development in Health Information Systems (HIS). Interoperability is a common objective, with 22 out of 28 studies achieving success. Challenges include limited generalizability, poor validation, and post-implementation modifications. Issues like security, data incompatibility, and evolving standards persist.

Access Control Framework for Cross-Platform Interoperability in the Industrial Internet of Things

Access Control Framework for Cross-Platform Interoperability in the Industrial Internet of Things

Enhancing Public Service Delivery in Nigeria Through Agile Practice

The dynamic nature of today's public sector demands innovative approaches to service delivery, leading to the emergence of agility as a vital paradigm. This research investigates the transformative potential of agile methodologies in restructuring the Nigerian public sector for enhanced service delivery. Emphasizing the need for agility in response to technological advancements and global shifts, the study draws on Nigeria's digital policy frameworks, such as the Nigeria e-Government Interoperability Framework (Ne-GIF) and the National Digital Economy Policy and Strategy (NDEPS) 2020-2030. The research advocates a shift from traditional bureaucratic structures to a more integrated, networked approach that prioritizes citizen participation and fosters service-centric cultures. The study uses a qualitative approach to gather secondary data from diverse sources and employs thematic and content analysis. The findings reveal that agile methodologies have the potential to reshape the Nigerian public sector.

Enhancing Interoperability: Exploring Data Exchange Standards in SaaS Laboratory Management Systems

In the ever-changing environment of health care, smooth information exchange among different systems is significant to ensure efficiency and high-quality patient care. This is also important in laboratory management, where time and accuracy are critical for patients' diagnosis and treatment choices. Nevertheless, interoperability is still a big issue, with SaaS laboratory systems being the primary concern. This study focuses on the importance of interoperability in contemporary healthcare systems, with particular emphasis on laboratory management. It shows the significance of an uninterrupted data flow between SaaS laboratory management systems and other healthcare I.T. systems, such as E.H.R.s and HIEs. Existing data exchange standards and frameworks for interoperability among SaaS laboratory management systems are discussed, including the challenges of achieving interoperability. A quantitative research approach-based questionnaire was deployed to assess the interoperability requirements and processes of the genetic testing laboratories in the survey. Investigations point to different levels of compatibility among SaaS lab management systems in terms of features offered as well as the challenges faced by the latter. Challenges include different data formats, communication protocol standards, and data model incompatibility. The study emphasizes the critical role of interoperability and data exchange in SaaS laboratory management systems and the entire healthcare industry. The methods of overcoming the interoperability problem are investing in education, creating collaborative partnerships, promoting integration frameworks, and establishing incentives for obedience to standardized data exchange format.

Towards a framework for interoperability and reproducibility of predictive models

The development and deployment of machine learning (ML) models for biomedical research and healthcare currently lacks standard methodologies. Although tools for model replication are numerous, without a unifying blueprint it remains difficult to scientifically reproduce predictive ML models for any number of reasons (e.g., assumptions regarding data distributions and preprocessing, unclear test metrics, etc.) and ultimately, questions around generalizability and transportability are not readily answered. To facilitate scientific reproducibility, we built upon the Predictive Model Markup Language (PMML) to capture essential information. As a key component of the PREdictive Model Index and Exchange REpository (PREMIERE) platform, we present the Automated Metadata Pipeline (AMP) for conversion of a given predictive ML model into an extended PMML file that autocompletes an ML-based checklist, assessing model elements for interoperability and reproducibility. We demonstrate this pipeline on multiple test cases with three different ML algorithms and health-related datasets, providing a foundation for future predictive model reproducibility, sharing, and comparison.

CCI v. TRAI: Regulatory Framework for Better Coordination and Interoperability

Section 18 of the Indian Competition Act, 2002 (‘Act’) holds the Competition Commission of India (CCI) responsible for promoting and sustaining competition in markets in India. This duty of CCI is reinforced through the twin mirror reflection provisions provided in Sections 21 and 21A of the Act. Evidently, the Act holds robust provisions for inter-regulatory consultation and coordination. However, referring to the annual reports of CCI, it appears that, in the preceding 10 years, no reference has been made by any sectoral regulator to CCI. Thus, even though a robust regulatory architecture of interoperability exists, it is not being used to its optimum potential. This lack of inter-regulatory consultation has often resulted in protracted litigation, of which CCI vs. Bharti Airtel Limited (2019) is a classic example, wherein the apex court highlighted that comity between the sectoral regulator and the market regulator, i.e., CCI, is a crucial aspect of market regulation and must be exercised effectively. In order to strengthen competition in the market, it is essential that both CCI and the Telecom Regulatory Authority of India (TRAI) function in an atmosphere of mutual cooperation and consultation. This paper seeks to critically analyse the legal and regulatory framework, judicial pronouncements, and recent public policy developments in India to support the coordination and consultation framework between TRAI and CCI, while drawing a comparison to international best practices. The paper attempts to bring forth a potential framework to support and enhance the coordination and interoperability between CCI and TRAI in an effective manner.

Platforms for Online Learning: A Product Specification

Abstract Learning Management Systems (LMS) or Learning Content Management Systems (LCMS) are the core of e-learning platforms and have evolved according to the development of new information and communication technologies. In this type of software there are many products on the market, some developed by the institutions themselves (in-house), others are free and open source software (FOSS) and others are more commercial, varying in functionality and technology, but almost always adhering to the standards used in e-learning so that learning objects fulfill their purpose of being usable and reusable. This paper introduces you to current LMS / LCMS, main functions, distinctive features, related standards, and their current status. Then there is a presentation of Machine Learning as a branch of Artificial Intelligence and Cognitive Computing as a fusion discipline between computation, cognition, psychology and artificial intelligence, to end in a proposal for the incorporation of these technologies in a new generation of e-learning platforms, all in an integrated framework of interoperability and governance.

Framework for interoperable service architecture development

Interoperability is a key success factor for digital public services. Addressing the required interoperability principles in public service architectures is difficult, since a multitude of different layers of interoperability as well as of architecture development must be covered in complex real-world situations. Architecture development frameworks provide an instrument to systematically and holistically design and manage architectures of complex and interoperable digital public service contexts. Interoperable public service architectures resulting from the application of architecture development frameworks further need constant evaluation and modification to keep these architectures relevant and up-to-date. Different methodologies such as the “Design Science Research Methodology” (DSRM) or Enterprise Architecture Frameworks like “The Open Group Architecture Framework” (TOGAF) provide methodical foundations in the creation of interoperable public service solutions. However, these methodologies only target some of the needed aspects at a time. To address this challenge, the paper proposes an agile framework for the design, evaluation, and maintenance of interoperable public service architectures, based on DSRM, TOGAF, and other relevant approaches from literature. The “Framework for Interoperable Service Architecture Development” (FISAD) is designed following the DSRM. FISAD comprises seven phases, which integrate the four interoperability layers put forward in the European Interoperability Framework (EIF) and the architectural design phases (business, data, application and technology architecture) covered in the Architecture Development Method (ADM) of TOGAF in an incremental fashion along the DSRM. To demonstrate how it works, FISAD is applied to the use-case of harmonizing pre-qualification and Digital Purchasing Systems (DPS) processes in the pre-award phase of public procurement. The effectiveness of FISAD is verified on the use-case, providing further insights for the realization of interoperability along a systematic and holistic approach.

Gateway-based Interoperability for Distributed Ledger Technology

Blockchain is a distributed ledger technology (DLT) to manage data in a decentralised way. During the last years, interoperability has become one of the main challenges within blockchain research as blockchains increasingly require integration between each other. Indeed, blockchains work by design in silos of information as interoperability is not a native feature. The main efforts in the field are focused on blockchains, such as Bitcoin and Ethereum. However, interoperability in DLT remains as an almost untouched area of work as they introduce additional requirements focusing on privacy and identity. Although there are some interoperability solutions for DLT, they are either high-level design proposals not providing concrete implementations or focus on interoperability issues between business applications and blockchain platforms. In this paper we propose a gateway-based platform-to-platform interoperability solution for DLT, which comprises a detailed solution design and a reference implementation. The proposal was assessed through the development of a social security case scenario and the evaluation through two interoperability frameworks. A reference implementation was built using two DLT: Hyperledger Fabric and Corda. The experimental results shows that it is possible to achieve technical interoperability between two heterogeneous DLT platforms using a gateway-based interoperability solution, relaxing decentralisation, data privacy, identity and authorisation management properties.

A Narrative Review of the Frameworks, Challenges, and Applications of Interoperability in E -Health

Introduction: Integrated Health Information Systems (HIS) are necessary to achieve national and international goals in health and development, which are facing cooperation problems due to diversity and heterogeneity. Interoperability as a key characteristic of data sharing and the main prerequisite of integration enables healthcare providers to make timely decisions for diagnosis, treatment, action, and patient care. Therefore, this research aimed to provide a category of interoperability concepts in electronic health ( E -Health). Method: This research is a narrative review to categorize the interoperability concepts in E - Health. For this purpose, Scopus, Google Scholar, PubMed, Science Direct, and IEEE databases were searched using the keywords "Interoperability framework" and "Integration" with the combination of AND along with "E -Health". Therefore, all the articles referring to the concepts of interoperability were selected. Results: The result of the search in the aforementioned databases was 304 articles. By removing duplicate, out -of-reach, and unrelated articles, only 40 articles were examined, and topics related to the concepts of interoperability were classified based on six axes (dimensions, levels, obstacles, integration, architecture, and measurement). Finally, its applications and challenges were described in a narrative review. Conclusion: Due to the nature of the health system, integrity and intelligence are very important in this area. Therefore, to facilitate the exchange of information and the use of health information systems from each other’s services, paying attention to the presented classification has an undeniable effect, and also, an important role in the integrity and intelligence of the environment, and increases the efficiency and effectiveness in the quality of providing health care services.

A Topology-Based Local Identifier Mapping Scheme for Power System Resources in Common Information Model Framework for Interoperability

A Topology-Based Local Identifier Mapping Scheme for Power System Resources in Common Information Model Framework for Interoperability

Progress with Repository-based Annotation Infrastructure for Biodiversity Applications

Progress with Repository-based Annotation Infrastructure for Biodiversity Applications

Community Curation of Nomenclatural and Taxonomic Information in the Context of the Collection Management System JACQ

Nomenclatural and taxonomic information are crucial for curating botanical collections. In the course of changing methods for systematic and taxonomic studies, classification systems changed considerably over time (Dalla Torre and Harms 1900, Durand and Bentham 1888, Endlicher 1836, Angiosperm Phylogeny Group et al. 2016). Various approaches to store preserved material have been implemented, most of them based on scientific names (e.g., families, genera, species) often in combination with other criteria such as geographic provenance or collectors. The collection management system, JACQ, was established in the early 2000s then developed to support multiple institutions. It features a centralised data storage (with mirror sites) and access via the Internet. Participating collections can download their data at any time in a comma-separated values (CSV) format. From the beginning, JACQ was conceived as a collaboration platform for objects housed in botanical collections, i.e., plant, fungal and algal groups. For these groups, various sources of taxonomic reference exist, nowadays online resources are preferred, e.g., Catalogue of Life, AlgaeBase, Index Fungorum, Mycobank, Tropicos, Plants of the World Online, International Plant Names Index (IPNI), World Flora Online, Euro+Med, Anthos, Flora of Northamerica, REFLORA, Flora of China, Flora of Cuba, Australian Virtual Herbarium (AVH). Implementation and (re)use of PIDs Persistent identifiers (PIDs) for names (at any taxonomic rank) apart from PIDs for taxa, are essential to allow and support reliable referencing across institutions and thematic research networks (Agosti et al. 2022). For this purpose we have integrated referencing to several of the above mentioned resources and populate the names used inside JACQ with those external PIDs. For example, Salix rosmarinifolia is accepted in Plants of the World Online while Euro+Med Plantbase considers it a synonym of Salix repens subsp. rosmarinifolia. Either one can be an identification of a specimen in the JACQ database. Retrieval of collection material One strong use case is the curation of material in historic collections. On the basis of outdated taxon concepts that were applied to the material in history, "old" synonyms are omnipresent in historical collections. In order to retrieve all material of a given taxon, it is necessary to know all relevant names. Future outlook In combination with the capability of Linked Data and the IIIF (International Image Interoperability Framework) technology, these PIDs serve as crucial elements for the integration of decentralized information systems and reuse of (global) taxonomic backbones in combination with collection management systems (Gamer and Kreyenbühl 2022, Hyam 2022, Loh 2017).

The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI

The Strategic Research and Innovation Agenda (SRIA) of the European Commission identifies Knowledge Graphs (KGs) as one of the most important technologies for building an interoperability framework and enabling data exchange among users across countries, sectors, and disciplines [1]. KG is a graph-structured knowledge base containing a terminology (vocabulary or ontology) and data entities interrelated via the terminology [2]. KGs are based on semantic web technologies (RDF, SPARQL, etc.) and often used for agile data integration. KGs also play an essential role within Germany as a vehicle to connect research data and research-related entities and make those accessible – examples include the GESIS Knowledge Graph Infrastructure, TIB Open Research Knowledge Graph, and GND.network. Furthermore, the Wikidata knowledge graph, maintained by Wikimedia Germany, contains a large number of research-related entities and is widely used in scientific knowledge management in addition to being an important advocacy tool for open data [3]. Extending domain-specific ontology-supported KGs with the multidisciplinary, crowdsourced knowledge in Wikidata KG would enable significant applications. The linking between expert knowledge systems and world knowledge empowers lay persons to benefit from high-quality research data and ultimately contributes to increasing confidence in scientific research in society.