Management Of Shared Data Research Articles

THE DEVELOPMENT OF ANDROID-BASED LEARNING MEDIA ON THE ORGANIC COMPOUNDS

General Chemistry is one of the compulsory subjects offered in the first year joint lectures at the Mathematics and Natural Sciences Education Department, FKIP Universitas Palangka Raya. The Covid-19 pandemic that has hit countries globally has had its own impacts and challenges for educational institutions, especially universities. Basic chemistry online lectures have combined various platforms such as google classroom, Edmodo, whatsapp groups, and online meetings such as google meet and zoom. However, this platform has some constraints, especially signal constraints, data packets, and management of shared data. Therefore, interactive learning media was developed, which can integrate text, images, audio, video and graphics, namely Android. This study aims to develop android-based general chemistry learning media on organic compound material and describe the feasibility of basic chemistry learning media. The development model used is the DDD-E model. The results of the development showed that the product resulting from the development process is an android-based learning media application in the form of an interactive e-book consisting of lesson plans, concept maps, instructions, materials, laboratory experiments, evaluation and team. Android-based learning media in the form of e-modules is suitable for use in learning Basic Chemistry. The results of the material expert's assessment obtained an average value of 82.14% (Good). The results of the media expert's assessment obtained an average value of 87.5% (Good).

An infrastructure with user-centered presentation data model for integrated management of materials data and services

With scientific research in materials science becoming more data intensive and collaborative after the announcement of the Materials Genome Initiative, the need for modern data infrastructures that facilitate the sharing of materials data and analysis tools is compelling in the materials community. In this paper, we describe the challenges of developing such infrastructure and introduce an emerging architecture with high usability. We call this architecture the Materials Genome Engineering Databases (MGED). MGED provides cloud-hosted services with features to simplify the process of collecting datasets from diverse data providers, unify data representation forms with user-centered presentation data model, and accelerate data discovery with advanced search capabilities. MGED also provides a standard service management framework to enable finding and sharing of tools for analyzing and processing data. We describe MGED’s design, current status, and how MGED supports integrated management of shared data and services.

New protocols of cognitive data management and sharing in cloud computing

SummaryIn this paper, we shall discuss new classes of cognitive systems dedicated the tasks of dividing and managing shared information not only in simple horizontal structures but also primarily in vertical structures. An example of such a structure is a computer cloud where, from various levels of access to information, one can execute the management process, both with respect to the entire information resources, as well as to individual pieces of data, including shared information. A special type of information is a service, which, similar to various types of data, is subject to the concealment process. In this work, we shall present universal algorithms for shared data management, such that can be used in concealment protocols both for data and services. Due to the above, this paper will treat the term “service” as a special type of data, constituting the basis of their sharing and management processes. Moreover, we shall determine the impact of the proposed algorithms on the enhancement of data/service management processes in Cloud Computing as well as the impact of the service management and data sharing processes in Could Computing on decision‐taking processes in systems supporting the management processes.

SAM: Software-Assisted Memory Hierarchy for Scalable Manycore Embedded Systems

This letter proposes a system architecture for a scalable software-assisted memory (SAM) hierarchy for emerging manycore embedded systems. Our SAM hierarchy overcomes the coherence overhead and inflexibility of purely hardware-managed memory hierarchies in adapting to variable workloads. Our preliminary results show opportunities for energy saving and performance improvement through: 1) a hybrid software-programmable memory (SPM)/cache local memory adaptable to the application’s memory characteristics; 2) SPM-based management of shared data; and 3) virtualizing and sharing the on-chip memory space between concurrently running applications. Primary experimental results show opportunities to reduce the execution time and the memory hierarchy energy consumption by up to 23% and 7%, respectively, depending on the workload.

Heterogeneous Distributed Shared Memory for Lightweight Internet of Things Devices

Despite the promising applicability of the Internet of Things (IoT), such as for home automation and health monitoring, it is laborious to develop an IoT application, because programmers should explicitly manipulate communication for shared data across heterogeneous distributed IoT devices. Recent proposals simplify the communication management with graphical views or language extensions but still require programmers to explicitly manage communication. To liberate programmers from explicit communication management, this article revisits heterogeneous distributed shared memory (HDSM) for IoT devices and proposes a compiler-runtime cooperative HDSM framework, called IoT-HDSM. The framework's compiler unifies heterogeneous memory layouts of different IoT devices, and the runtime system provides a shared memory view for the devices. To support lightweight devices that cannot execute the runtime, the compiler automatically inserts explicit communication instructions into the IoT application. Moreover, to efficiently control concurrent memory accesses without locks, the authors also propose a new annotation called the memory branch, which provides a memory snapshot for each device. This article describes the implementation of three IoT services with IoT-HDSM and shows that IoT-HDSM simplifies shared data management without harming QoS.

Foundation engagement in healthy aging initiatives and evidence-based programs for older adults.

Foundation engagement in healthy aging initiatives and evidence-based programs for older adults.

Evidence-based leadership council - a national collaborative.

Evidence-based leadership council - a national collaborative.

Collaborative data sharing in online social network resolving privacy risk and sharing loss

Nowadays, Online Social Networks (OSNs) is popular all over the world. Millions of people join such networks to share their personal and public information and also to make new friends and relations. But there arises several security and privacy issues related to these network since users may have contact with persons who are known to them as well as unknown to them. There are many mechanisms to provide privacy on shared data but enforcing privacy concerns over data associated with multiple users is of great concern as there are chances for privacy risk and data sharing loss. In this paper, privacy setting for a shared data is discussed where multiple users, other than owner, who shares the same data can provide their own privacy policies on shared data.. Privacy conflicts are resolved using a conflict resolution mechanism which will calculate the privacy risk and sharing loss associated with each controller. Thus in this paper a systematic solution that facilitate collaborative management of shared data in OSNs and a conflict detection and resolution mechanism to cope with privacy conflicts in data sharing is addressed.

Abstract P4-19-04: Biobank management and tracking web-based system for a breast cancer oriented biobank v2.0: Preliminary analysis

Abstract The quality of biospecimens and associated data accuracy in a Biobank must be collected and consistent according to standardized methods in order to achieve international harmonization and coordination among biobanking networks. Sharing successful strategies between the Baylor College of Medicine (BCM) Breast and Cancer Centers and Breast Center Buenos Aires (BCBA) was the fundamental stone for the creation of an Argentinean Breast Cancer oriented Biobank with a shared data management system. We have designed, developed and implemented a computer system to easily manage sensible associated data. This innovative system, allows the data entry in a visual, intuitive, friendly and orderly way, integrating all the information for further analysis and easy use of samples for translational research. Objective: Develop and improve (v2.0) a bilingual web-based tool for biospecimen management, inventory, clinical and breast cancer data registration according with international standards of data security quality assurance and ISBER Best Practices for Biorepositories. Methods: System Characteristics: Multi-tier architecture, relying on a SQL server 2008 R2 data base. Operating System: Windows Server Series. Programmer Language .net 4.0 C#.. The system operates with Internet Explorer as flat client or similar. Bilingual English/Spanish system, fully configurable by modules, HIPPA compliant sensible data confidentiality, with de-identification of samples through 2D bar codes. Results : System Capabilities and Improvements v2.0: • Security Module: Allows to manage predetermined profiles (Clinical Research Coordinator Clinical staff as Phlebotomist, Pathologist, PA, MDs, PhDs, Researchers), audit controls implemented through permits according to the profile. • Master Tables: allows to insert/add/change data associated into master tables, providing system user independence. • General Registration Module: Online statistics allows to see immediately the number of consented individuals, types of samples and their classification. • Sample Management: Assigns unequivocally identification of each sample in a 2D bar code for freezer lab labels(LabExpert®). Has online statistical information on the number of samples and tubes used, for an easy supply management. Automatically assigns the location of samples per product type in the freezer. Allows to know the occupancy rate online. • Breast Cancer Module: A comprehensive data base in an attractive visual environment of eight screens: Clinical data, Biopsy, Definitive Surgery, Systemic Treatment, Radiation Treatment, Cancer Events, follow up and Summary screen. Includes path reports and sample collection forms attached in each corresponding biopsy or surgery screen for easy view and data entry quality assurance. Conclusion: This Biobank Management System was designed in a friendly and intuitive data entry environment by a multidisciplinary team including breast surgeons, pathologists, oncologists, statisticians, system engineers and programmers from BCM and BCBA. It could be adapted to be used in full or in separate modules by Breast Centers and Breast Cancer Oriented Biobanks. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P4-19-04.

Research on the Expert System for Sweet Corn Standard Production Based on Heterologous Data Integration Technology

To better share agricultural information in existed agricultural informatization condition, and to meet agro-departments new needs about local self-governed and global shared data management during standardized production of the sweet corn, this paper provides a method of integrated sharing of heterogeneous data sources to apply to standardized product of the sweet corn. This method solves the data integration and sharing problems during standardized production of the sweet corn. In this paper, the expert system for sweet corn standard production which is ability to combine heterogeneous data is constructed. This system is proved to be reliable, perform well and it is easy to operate.

Abstract P2-16-02: A web-based data management system for a multicenter international breast cancer oriented blood, tissue, and data biobank

Abstract The quality of biospecimens and associated data must be consistent and collected according to standardized methods in order to achieve international harmonization and coordination among biobanking networks. Sharing successful strategies between the Baylor College of Medicine (BCM) Cancer Center and Breast Center Buenos Aires (BCBA) is the driving force for the creation of an Argentinean Breast Cancer oriented Biobank with a shared data management system. Objective: To create a bilingual web-based tool for biospecimen management, inventory, clinical and breast cancer data registration according to international standards of data security quality assurance (ISO 27001). Methods/System Characteristics: The system permits users to enter and retrieve data concerning the collection, storage, quality assurance and distribution of biospecimens, and provides clinical and other patient data for samples while maintaining strict patient confidentiality. It has a multi-tier architecture, developed using Service-Oriented Architecture (SOA) software design principles in .net 4.0, and uses a SQL server database backbone. The system allows multidimensional data analysis trough On Line Analytical Processes (OLAP) and operates with standard web clients, such as Internet Explorer. User Profiles/Access Levels: Clinical staff (e.g., clinical research coordinator, phlebotomist, pathologist, PA, MD) conduct participant and consent registration and preregistration, epidemiological questionnaire data entry, barcode label generation, form printing, and clinical and pathological cancer data entry.Biospecimen resource staff (e.g., lab technicians) track and store data about biospecimen collection, inventory, tracking and distribution, generate sample barcode labels, and maintain sample allocation and freezer maps for the system.Scientists have the ability to search for biospecimens and associated data for their own translational research projects. Breast Cancer Database: Detailed clinical, pathological, treatment and follow-up breast cancer information are captured for each patient, including TNM, biopsy and definitive surgery of primary tumor and events, systemic and radiation treatment, recurrences and metastasis, follow-up. A summary screen provides a snapshot of these data to the viewer. Pathology reports and sample collection forms are attached in each corresponding biopsy or surgery screen for easy viewing and quality assurance. Conclusion: This Biobank Management System was designed by a multidisciplinary team to improve and streamline the workflow for each member of the biobank by: allowing preregistration capabilities before consenting individuals or collecting samples, automatic generation of clinical and sample ID labels, and real-time statistics with certified secure sensible information confidentiality. This system's value is its wide range of uses, from the day-to-day management of a multicenter biobank to the storage of detailed clinical cancer-related data in a user-friendly and intuitive data entry environment. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-16-02.

A Reliable and Distributed LIMS for Efficient Management of the Microarray Experiment Environment

Summary A microarray is a principal technology in molecular biology. It generates thousands of expressions of genotypes at once. Typically, a microarray experiment contains many kinds of information, such as gene names, sequences, expression profiles, scanned images, and annotation. So, the organization and analysis of vast amounts of data are required. Microarray LIMS (Laboratory Information Management System) provides data management, search, and basic analysis. Recently, microarray joint researches, such as the skeletal system disease and anti-cancer medicine have been widely conducted. This research requires data sharing among laboratories within the joint research group. In this paper, we introduce a web based microarray LIMS, SMILE (Small and solid MIcroarray Lims for Experimenters), especially for shared data management. The data sharing function of SMILE is based on Friend-to-Friend (F2F), which is based on anonymous P2P (Peer-to-Peer), in which people connect directly with their “friends”. It only allows its friends to exchange data directly using IP addresses or digital signatures you trust. In SMILE, there are two types of friends: “service provider”, which provides data, and “client”, which is provided with data. So, the service provider provides shared data only to its clients. SMILE provides useful functions for microarray experiments, such as variant data management, image analysis, normalization, system management, project schedule management, and shared data management. Moreover, it connections with two systems: ArrayMall for analyzing microarray images and GENAW for constructing a genetic network. SMILE is available on http://neobio.cs.pusan.ac.kr:8080/smile.

Shared Data Management Mechanism for Software Development Based on a Reflective Object-Oriented Model.

Shared Data Management Mechanism for Software Development Based on a Reflective Object-Oriented Model.

An infrastructure for cooperative applications based on conventional database transactions

'Computer-Supported Cooperative Work' (CSCW) is a young, interdisciplinary research area considering applications with strong demands on multiple fields of computer technology, e.g., distributed systems and networks, or multi-media systems. In this paper, we will be focusing on the information-sharing aspect and the corresponding activity-control aspect. Employing database systems for the management of shared data means dealing with conventional transactions. Crucial issues of the classical transaction concept are the isolated execution and the underlying notion of consistency. Whereas consistency support is necessary for any multi-user application, strict isolation seems to contradict the cooperation issue (release of preliminary data). As a consequence, the transaction concept plays a key role due to consistency management, but cooperation control must be supported by additional facilities. Therefore, we exploit the classical transaction as the basic operational unit in the infrastructure we propose for cooperative applications. Transactions are well suited for the execution of the elementary actions into which the work of a cooperating user can be decomposed. Beside these elementary actions, further types of activities can be observed in cooperative work arrangements. In order to give a comprehensive activity support, our infrastructure provides several abstractional layers: classical transactions, version manipulations, tool invocations, workflow executions and explicit cooperation control actions. Multiple possibilities of interplay between these layers make this infrastructure feasible to different classes of cooperative applications.

The Pegasus heterogeneous multidatabase system

Pegasus, a heterogeneous multidatabase management system that responds to the need for effective access and management of shared data across in a wide range of applications, is described. Pegasus provides facilities for multidatabase applications to access and manipulate multipole autonomous heterogeneous distributed object-oriented relational, and other information systems through a uniform interface. It is a complete data management system that integrates various native and local databases. Pegasus takes advantage of object-oriented data modeling and programming capabilities. It uses both type and function abstractions to deal with mapping and integration problems. Function implementation can be defined in an underlying database language or a programming language. Data abstraction and encapsulation facilities in the Pegasus object model provide an extensible framework for dealing with various kinds of heterogeneities in the traditional database systems and nontraditional data sources.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>