Data Exchange Format Research Articles

FoodChain-Lab Web: An integrative modular software to visualise and analyse complex global food supply chain networks during foodborne incidents

In times of globalised food and feed trade, powerful integrative software tools are essential to solve foodborne crises quickly and reliably. The FoodChain-Lab web application (FCL Web; https://fcl-portal.bfr.berlin/) is such a tool. FCL Web is free and open-source software which helps to trace back and forward food along complex global supply chains during foodborne disease outbreaks or other food-related events. In the framework of One Health EJP COHESIVE, the efforts of several national and international tracing-related software projects are integrated within FCL Web to provide a modular tracing platform following the One Health approach. FCL Web unifies interactive tracing data visualisation, analysis as well as reporting - and in the future data collection - in one modular tracing platform (Fig. 1). The interactive analysis module was developed in a project with EFSA and offers automated visualisation of supply chains based on the needs of the user. A data table displays key information on involved food business operators and food items and includes comprehensive filter functions to analyse the information given in the table. The analysis module also helps to run simulations on hypothetical cross contamination or geographic clustering events during outbreaks via a scoring algorithm for deliveries and food business operators. A pilot version of a reporting module was integrated in FCL Web as well to display tracing, sample and case information in a format suitable for publishing tracing results in outbreak reports. A web-based tracing data collection mask offering a guided and structured data assessment with access to curated data was developed in a national project and will be integrated in FCL Web soon. Its multi-language design allows for potential European-wide use. In the future, more modules, e.g. to analyse genome sequencing data in the context of tracing are planned for FCL Web. With its features and its integrative approach, FCL Web blends seamlessly into a list of crucial tracing tool projects in Europe. In the future, these tools will be strongly interconnected to serve several tracing purposes on the local, national or European level. Hence, there is a need to improve interoperability of the tools e.g. via a universal data exchange format.

Design & development of customizable web API for interoperability of antimicrobial resistance data

Antimicrobial resistance (AMR) is a global health emergency. Complementary to developing new drugs, AMR can be monitored and controlled through cost-effective active surveillance of resistance. As an initiative to monitor resistance, countries all across the globe are collecting data using a variety of surveillance tools. Moreover, hospitals routinely collect the AMR data for treatment which is being stored in their Laboratory and Hospital Information systems (LIS-HIS). The generated clinical data is collected & stored in various formats, making it very difficult to analyze and generate national reports. To integrate the stored clinical data for predictive modeling and analysis, there is an immediate need for a one-stop data repository capable of importing and exporting data in simple data exchange formats (CSV/Excel). The paper highlights the design & development of i-DIA, a python-based web API to facilitate the interoperability of AMR data by automatically importing the bulk of medical data from CSV files into generic data management and analysis system. The i-DIA has been integrated and tested with the ICMR’s AMR surveillance network on in-house developed software, i-AMRSS. The i-AMRSS is presently collecting data from 31 laboratories across India and i-DIA has been used to import data generated from LIS & HIS of a few hospitals directly into the system. The paper also proposes the complete web-based framework (an extension of i-DIA) integrated with peer-to-peer system architecture.

METHODS AND MEANS OF ENSURING THE INTEROPERABILITY OF THE COMPONENTS OF THE NATIONAL GEOSPATIAL DATA INFRASTRUCTURE

Interoperability is one of the key characteristics of the national geospatial data infrastructure (NSDI), on which depends the effectiveness of the interaction of holders, producers and users of geospatial data in the network of geoportals. The article substantiates the methods and means of achieving a high level of interoperability of the components of the Ukraine NSDI on the basis of ensuring the consistency of geospatial data supplied by different data producers, standardization of metadata and interfaces of geoinformation services. It is established that the bases of the legislative and organizational level of interoperability are defined in the Law of Ukraine "On the national geospatial data infrastructure " and in the "Procedure for the operation of NSDI".
 To ensure the interoperability of the components of the Ukraine NSDI at the semantic and technical levels, it is necessary to develop a set of technical regulations that define common requirements for: composition and structure of metadata, interfaces and functions of geographic information services, compatibility of geospatial data sets, classification systems, coding and unique identification of geospatial objects, open data exchange formats. These technical regulations should be based on the consistent and comprehensive implementation of the methodology of the basic international standards of the ISO 19100 Geographic Information / Geomatics series, the effectiveness of which has been confirmed by the successful implementation of NSDI in many countries of the world.

ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ОБМІНУ ДАНИМИ СУТНОСТЕЙ У РЕЛЯЦІЙНОМУ ПРЕДСТАВЛЕННІ ТА ЇХ ОБРОБКИ

Nowadays, the area of software development has become widespread among all areas of business, so it is important to ensure high efficiency of applications. Due to the fact that data operating is an integral part of any program, the question how to increase the efficiency of data transmission and processing appeared. Existing technologies for data exchange are designed primarily to meet the criteria of universality and clarity, but these technologies turn out to be redundant or insufficient for software products operating data in relational representation. Many domestic and foreign publications have been devoted to the study of data exchange formats, but all lack research on ways to improve the efficiency of software data processing. Also, the public domain doesn’t contain any latest publications solving the issue of reducing the amount of data being transmitted between software components. Improving the efficiency of exchange of data in relational representation, using a specially designed data serialization format and method of processing. The article is devoted to presenting own improved data serialization format for data exchange of entities in relational representation, as well as providing a method of software data processing, which can significantly increase productivity. This paper reveals the problem of exchanging data in relational representation and the disadvantages of using existing serialization formats for transferring relational objects in software systems. The explanation to the decision proposed here is given with the help of the description of the applied technique for problem solving, the graphic scheme of the data format designed and an example of program realization. The actual result of the study is the construction of the concept of own experimental data serialization format as a way to partially solve the problem described and a detailed description of its structure. The article also describes the .NET Core implementation of the proposed method of efficient processing of data retrieved as a result of deserialization from the format presented. The following tools to improve the efficiency of data exchange for entities with a relational representation were proposed in the article: a specially developed data serialization format and the method of its software processing.

Qiime Artifact eXtractor (qax): A Fast and Versatile Tool to Interact with Qiime2 Archives.

Qiime2 is one of the most popular software tools used for analysis of output from metabarcoding experiments (e.g., sequencing of 16S, 18S, or ITS amplicons). Qiime2 introduced a novel and innovative data exchange format: the ‘Qiime2 artifact’. Qiime2 artifacts are structured compressed archives containing a dataset and its associated metadata. Examples of datasets are FASTQ reads, representative sequences in FASTA format, a phylogenetic tree in Newick format, while examples of metadata are the command that generated the artifact, information on the execution environment, citations on the used software, and all the metadata of the artifacts used to produce it. While artifacts can improve the shareability and reproducibility of Qiime2 workflows, they are less easily integrated with general bioinformatics pipelines. Accessing metadata in the artifacts also requires full Qiime2 installation. Qiime Artifact eXtractor (qax) allows users to easily interface with Qiime2 artifacts from the command line, without needing the full Qiime2 environment installed (or activated).

The glycoconjugate ontology (GlycoCoO) for standardizing the annotation of glycoconjugate data and its application.

Recent years have seen great advances in the development of glycoproteomics protocols and methods resulting in a sustainable increase in the reporting proteins, their attached glycans and glycosylation sites. However, only very few of these reports find their way into databases or data repositories. One of the major reasons is the absence of digital standard to represent glycoproteins and the challenging annotations with glycans. Depending on the experimental method, such a standard must be able to represent glycans as complete structures or as compositions, store not just single glycans but also represent glycoforms on a specific glycosylation side, deal with partially missing site information if no site mapping was performed, and store abundances or ratios of glycans within a glycoform of a specific site. To support the above, we have developed the GlycoConjugate Ontology (GlycoCoO) as a standard semantic framework to describe and represent glycoproteomics data. GlycoCoO can be used to represent glycoproteomics data in triplestores and can serve as a basis for data exchange formats. The ontology, database providers and supporting documentation are available online (https://github.com/glycoinfo/GlycoCoO).

Prototypical Clinical Trial Registry Based on Fast Healthcare Interoperability Resources (FHIR): Design and Implementation Study.

BackgroundClinical trial registries increase transparency in medical research by making information and results of planned, ongoing, and completed studies publicly available. However, the registration of clinical trials remains a time-consuming manual task complicated by the fact that the same studies often need to be registered in different registries with different data entry requirements and interfaces.ObjectiveThis study investigates how Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) may be used as a standardized format for exchanging and storing clinical trial records.MethodsWe designed and prototypically implemented an open-source central trial registry containing records from university hospitals, which are automatically exported and updated by local study management systems.ResultsWe provided an architecture and implementation of a multisite clinical trials registry based on HL7 FHIR as a data storage and exchange format.ConclusionsThe results show that FHIR resources establish a harmonized view of study information from heterogeneous sources by enabling automated data exchange between trial centers and central study registries.

Recent Trends in JSON Filters

JavaScript Object Notation is a text-based data exchange format for structuring data between a server and web application on the client-side. It is basically a data format, so it is not limited to Ajax-style web applications and can be used with API’s to exchange or store information. However, the whole data never to be used by the system or application, It needs some extract of a piece of requirement that may vary person to person and with the changing of time. The searching and filtration from the JSON string are very typical so most of the studies give only basics operation to query the data from the JSON object. The aim of this paper to find out all the methods with different technology to search and filter with JSON data. It explains the extensive results of previous research on the JSONiq Flwor expression and compares it with the json-query module of npm to extract information from JSON. This research has the intention of achieving the data from JSON with some advanced operators with the help of a prototype in json-query package of NodeJS. Thus, the data can be filtered out more efficiently and accurately without the need for any other programming language dependency. The main objective is to filter the JSON data the same as the SQL language query.

Research on “Six in One” Campus Security System Based on Multi-node Data Feedback

In terms of the current incompatibility of various campus monitoring networks and the difficulty of timely sharing as well as the unified storage and management of heterogeneous data in heterogeneous networks, a security monitoring system for multi-node heterogeneous data is designed in the paper, in which the data communication format, sensor encapsulation protocol, gateway design and implementation, database design and monitoring platform construction are studied, realizing the collection and forwarding of heterogeneous network data. Moreover, the data exchange format uses a lightweight format to facilitate the transmission and storage of data, and the sensor protocol is encapsulated to solve the heterogeneous problem caused by the difference in data conversion formulas and meanings between different sensor networks. Furthermore, simulation experiments have proved that the system can efficiently and reliably collect, store and process heterogeneous data in a heterogeneous network in real time, and the built monitoring platform can centrally display and manage campus monitoring information in real time.

JSON-ASR: A lightweight data storage and exchange format for automatic systematic reviews of TCM

JSON-ASR: A lightweight data storage and exchange format for automatic systematic reviews of TCM

Hacking Anti-Shoplifting System to Hide Data within Clothes

Steganography has been used to prevent unauthorized access to private information during transmission. It is the scheme of securing sensitive information by concealing it within carriers such as digital images, videos, audio, or text. Current steganography methods are working by assigning a cover file then embed the payload within it by making some modifications, creating the stego-file. However, the left traces that are caused by these modifications will make steganalysis algorithms easily detect the hidden payload. Aiming to solve this issue, a novel, highly robust steganography method based on hacking anti-shoplifting systems has proposed to hide data within clothes. The anti-Shoplifting system is an anti-theft security system that protects goods and products, leaving the store in an illegal way (i.e., without paying for them). The proposed method works by modifying the default anti-shoplifting system by changing its built-in soft RFID (radio-frequency identification) tags sewn in clothes into NFC (Near Field Communication) tags. These NFC tags are smart tags that can communicate with NFC-Enabled smart-phones using NDEF (NFC Data Exchange Format). NDEF is one of the advancements added to RFID technology by NFC, which allows the data exchange. Every NDEF message has one/more NDEF records that contain record type, a unique ID, a length, and a payload of data that contains the secret message content that can be any type of data that fits in a byte stream. Based on NDEF and NFC-enabled smart-phones, the proposed method will take the secret message from the sender, make use of his NFC-enabled smart-phone to communicate with the NFC tag, then hide the secret message within the NDEF’s payload of the NFC tag stuck in clothes. Finally, to evaluate the proposed method, it has been compared with default (digital) steganography weak points. Such as time, lockable, robustness, attacks, capacity, and a few more points. The results and comparisons showed that the proposed method is more efficient than default (digital) steganography and has many advantages.

ГЕОИНФОРМАЦИОННОЕ ОБЕСПЕЧЕНИЕ ПРОГНОЗИРОВАНИЯ ЗОН ЗАТОПЛЕНИЙ НА ЮГЕ САХАЛИНА

Modern systems of hydrometeorological monitoring, for the most part, widely use WEB and GIS technology tools. Territorial fragmentation divisions of the World Meteorological Organization (WMO), Roshydromet, Russian Academy of Sciences and other services and departments interested in obtaining data requires creation of unified information environment for exchange of heterogeneous information. Formation field for geospatial data has become possible with the availability of industrial design platforms with high performance, supporting standard data exchange formats suitable of system for building projectoin. The purpose of the study is to develop requirements for geoinformation sup-port of the system necessary for flood forecasting. Methods: GIS mapping, interpretation and analysis of remote sensing data of the Earth. When developing system for hydrological monitoring of rivers in the Southern Sakhalin, we used the experience of operating similar observational network in services of several European countries, as well as the geographically distributed GIS created by Roshydromet. Considering the vast experience of predecessors and requirements for geoinformation support neces-sary for predicting flood zones in the rivers of Southern Sakhalin have been developed. The initial da-ta for creating the correct flood model are satellite images, large-scale topographic maps, digital terrain models, data from long-term hydrometeorological observations, and engineering surveys.

Method for matching medical data exchange formats and terminologies

Method for matching medical data exchange formats and terminologies

Telemedicine System Based on Medical Consultation Assistance Integration

With the aging of the global population, how to provide effective telemedicine for the aging population has become a very important issue, especially for the elderly with limited mobility. If there is a complete telemedicine system, it will not only greatly improve medical efficiency. It can reduce the chance of contact between people and avoid the medical risks caused by severe special infectious pneumonia. This paper focuses on the development of a high-efficiency telemedicine system platform that conforms to international standard data exchange formats. This system platform can not only solve the problem of shortage of medical staff but also allow patients to be free from medical outpatient time constraints. Achieve the effect of telemedicine at any time, and digitize the medical process rules to establish a complete online telemedicine system platform.

Analysis of international experience in the field of building information modelling of transport infrastructure objects

In this paper, the authors consider the current state and level of implementation of building information modeling applied to transport infrastructure at the stages of their life cycle in Russia and abroad. Possible prerequisites for the transfer of knowledge and technologies of building information modeling from the civil and industrial facilities to the field of transport construction are highlighted according to the accumulated experience in the design, construction and operation of such facilities in various countries and Russia. Special emphasis is placed on examples of the world’s largest implemented or ongoing projects for the construction of transport infrastructure. The experience of implementing these projects was analyzed from the point of view of the software used in relation to all stages of the life cycle of transport infrastructure objects: design, construction and subsequent operation. The prospects for the development of data exchange formats in the context of the existing problem of mutual integration of BIM and GIS for transport infrastructure objects to ensure their complementarity and compatibility are also considered. The functional levels of the use of various software within the framework of companies implementing project activities using information modeling technologies are highlighted. A list of criteria characterizing the level of information modeling technologies integration to transport infrastructure objects into the activities of participants in the life cycle of these objects is highlighted. A review of the regulatory framework of information modeling in construction in Russia is carried out, and the main differences in this area with the regulatory regulation of this area in the European Union are noted. Conclusions are made about the key reference points for the development of information modeling of transport infrastructure facilities on a national scale, leading customer companies and contractors.

Security Threats to Business Information Systems Using NFC Read/Write Mode

Radio Frequency IDentification (RFID) and related technologies such as Near Field Communication (NFC) are becoming essential in industrial contexts thanks to their ability to perform contactless data exchange, either device-to-device or tag-to-device. One of the three main operation modes of NFC, called read/write mode, makes use of the latter type of interaction. It is extensively used in business information systems that make use of NFC tags to provide the end-user with augmented information in one of several available NFC data exchange formats, such as plain text, simple URLs or enriched URLs. Using a wide variety of physical form factors, NFC-compatible tags (wireless transponders) are currently available in many locations with applications going from smart posters, contactless tokens, tap-and-go payments or transport ticketing to automated device configuration, patient identification at hospitals or inventory management within supply chains. Most of these applications handle sensitive processes or data. This paper proposes a complete security threat model for the read/write operation mode of NFC used in Next Generation Industrial IoT (Nx-IIoT) contexts. This model, based on a well-known methodology, STRIDE, allows developers and users to identify NFC applications vulnerabilities or weaknesses, analyze potential threats, propose risk management strategies, and design mitigation mechanisms to mention only some significant examples.

A Literature Review on Device-to-Device Data Exchange Formats for IoT Applications

Internet of Things (IoT) has emerged as a disruptive innovation that not only promises to transform every aspect of human activity but is driving revolutions in many fields, including but not limited to: healthcare, finance, agriculture, quality control and retail. For communicating data between connected devices in IoT ecosystem, various data exchange formats are presently in use. Determining the appropriate data format for an application plays a pivotal role in order to ensure efficient communication and reducing overheads. The intent of this literature review is to document and analyse literature relating to data exchange formats. The paper contains a systematic review of several academic research papers focused on performance evaluation and comparison of data formats. We reviewed the predominant data formats used for the purpose of data interchange and discussed the strengths, weaknesses and suitable application areas for the same.

Advanced and Rapid Tool in Control Room to Determine the Cause and Location of Events in Transmission Network

Operating personnel in control room act on SCADA alarm generated on data from station computer. Using new technologies and advanced technical solutions assistance tool can be designed. This tool provides quick help in busy situations for operator. For this new tool with three types of case studies insight will be given in this paper. Introduction part has short information about numbers of alarms and events in Control centre, and their distribution during one month period. Basic principles for alarm handling in SCADA system is given with all limitations. New tool, Intelligent Alarm Processing system is designed and implemented in control room. It has connection to SCADA system with standard data exchange format CIM/XML and run in real time, with only few seconds delay. This system based on Multilevel Flow Model has root cause analyses implemented for power system. Detail fault location algorithm description with block scheme for this Intelligent Alarm Processing system is part of third chapter. Special attention must be paid for modelling protection data in SCADA system which are sent to this new tool. Demonstration of Intelligent Alarm Processing system operation is reported in fourth chapter. Three characteristic disturbances in transmission network were elaborated. Most complex and challenging disturbances for operator in control room is cascading event. This case study is presented in detail in four sequences through graphical user interface. Second case study is also challenging for operators, heavy winter storm with numerous isolated events. In this case study very effective graphical presentation and alarm list with three types, primary event, consequences and detail list for this events were demonstrated. This list pointed out exactly and clearly what happened in the network. Last case study presents common disturbances which appears on daily basis, where this tool is of great assistance because it points on transmission elements very fast.

Towards Unified Data Exchange Formats for Reporting Molecular Drug Susceptibility Testing.

With the rapid development of new advanced molecular detection methods, identification of new genetic mutations conferring pathogen resistance to an ever-growing variety of antimicrobial substances will generate massive genomic datasets for public health and clinical laboratories. Keeping up with specialized standard coding for these immense datasets will be extremely challenging. This challenge prompted our effort to create a common molecular resistance Logical Observation Identifiers Names and Codes (LOINC) panel that can be used to report any identified antimicrobial resistance pattern. To develop and utilize a common molecular resistance LOINC panel for molecular drug susceptibility testing (DST) data exchange in the U.S. National Tuberculosis Surveillance System using California Department of Public Health (CDPH) and New York State Department of Health as pilot sites. We developed an interface and mapped incoming molecular DST data to the common molecular resistance LOINC panel using Health Level Seven (HL7) v2.5.1 Electronic Laboratory Reporting (ELR) message specifications through the Orion Health™ Rhapsody Integration Engine v6.3.1. Both pilot sites were able to process and upload/import the standardized HL7 v2.5.1 ELR messages into their respective systems; albeit CDPH identified areas for system improvements and has focused efforts to streamline the message importation process. Specifically, CDPH is enhancing their system to better capture parent-child elements and ensure that the data collected can be accessed seamlessly by the U.S. Centers for Disease Control and Prevention. The common molecular resistance LOINC panel is designed to be generalizable across other resistance genes and ideally also applicable to other disease domains. The study demonstrates that it is possible to exchange molecular DST data across the continuum of disparate healthcare information systems in integrated public health environments using the common molecular resistance LOINC panel.

Digitalization of user-oriented demand planning through Building Information Modeling (BIM)

Digitalization is accelerating and changing much in our lifestyles and ways of working. In the construction and building sector, this phenomenon is currently gaining acceptance through the Building Information Modeling (BIM) method. As an integral planning method for improving the quality of planning, construction and operating processes, BIM requires a starting point that is defined by demand planning. This paper focuses on recording demand planning digitally and generating it autonomously for basic planning. The aim is to provide planners with a BIM model that is generated early from user-oriented needs with in-depth information and enables considering sustainable and health planning aspects in the future. As a result, BIM and the open BIM data exchange format Industry Foundation Classes (IFC) are used to create a BIM-Model (3D Model) based on user needs, which are recorded by a web application. Thereby planners will be provided with a valuable starting and orientation basis that considers important user requirements. In doing so, maximum user satisfaction and quality will be achieved. Furthermore, communication and participation of users in the planning process will be promoted.