scholarly journals The BC SUPPORT Unit Data Platform: Offering Data-Related Services To Researchers In British Columbia

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Sarah Kesselring ◽  
Bryony Mander ◽  
Ognjenka Djurdjev ◽  
Kenneth Moselle ◽  
Elodie Portales-Casamar ◽  
...  
Keyword(s):  
Data Collection ◽  
Research Question ◽  
Population Data ◽  
Data Access ◽  
Direct Access ◽  
Sensitive Data ◽  
Ministry Of Health ◽  
Support Unit ◽  
Data Platform ◽  
Oriented Research

IntroductionThe Canadian Institutes of Health Research (CIHR) and provinces co-fund local Units to increase the quality and quantity of patient-oriented research. These SUPPORT (Support for People and Patient-Oriented Research and Trials) Units include a prominent Data Plan component. The BC Plan is the result of collaboration between many organizational partners. Objectives and ApproachA Data Advisory Committee comprised of eight organizational partners worked together for several months in 2016-2017 to develop BC’s provincial Data Plan. The Data Plan includes seven objectives; in general, the plan seeks to make additional data available for research, increase the speed and transparency of data access, and offer services to enable more efficient data use. The services resulting from the Data Plan are intended to improve support for the entire continuum of a research project, from developing a research question to analyzing the results. Several projects are part of Ministry of Health-led work developing a Health Data Platform. ResultsThe projects initiated so far as part of the Data Plan include: BC Data Scout\textsuperscript{TM}: an online tool that provides aggregate cohort information to inform research question development; REDCap: software to support privacy-sensitive data collection and management; INFORM: software to support data collection for complex clinical research studies and trials; Direct Access: enables Population Data BC to access BC Ministry of Health databases so researchers have access to up-to-date data; Streamlining: making the data request process more efficient; New datasets: several projects that will provide new data sources, including patient experience and outcome measures and secondary use data drawn from electronic medical records; and Inventory: an online catalog for all high-value and linkable data sets available to researchers. Conclusion/ImplicationsThe services and tools included in BC’s Data Plan will help researchers develop and deliver world-class research and inform important health care decisions. The patient-oriented focus of these services help to ensure that research is done in partnership with patients and centered on research questions that matter to them.

14. Implementing a Quantum Solution to Database Hierarchy Control

2018 ◽  
Author(s):  
Helen Percival
Keyword(s):  
Access Control ◽  
Complex Structure ◽  
Data Access ◽  
Direct Access ◽  
Sensitive Data ◽  
Database Access ◽  
Data Access Control ◽  
Access Rights ◽  
Multiple Keys ◽  
Quantum Mechanical Solution

Data access control in a hierarchy is currently a complex structure. Different groups need access to sets of data, some of which overlap, while the rest of the data remains secret. Managers and directors need to access the data that is hidden from regular users. To manage this, users are organized into partially ordered sets, or posets. Nodes in the posets represent users with the same access rights. Current solutions use independent keys to access sections of data. This is chaotic, particularly for upper users in the hierarchy. A proposed solution is up-down computable keys, as described by Nagy and Akl in 2010 [1]. The downfall of this solution is that it is only applicable to stable posets. Users leaving and entering the organization at arbitrary levels or even moving within the structure, may invalidate multiple keys or even all the keys in a poset. Nagy and Akl [1] propose a quantum mechanical solution; by managing systems with two keys per user, a quantum and a classical key, the database is able to use computable keys that the user has no access to. Instead of direct access to the key, the system uses the quantum and the classical keys to compute the access key. The purpose of the study is to design a physical system to implement quantum key database access, able to accommodate large businesses and governments with large, fluctuating and complex organizational hierarchies. Such a system would also be highly secure, suitable for databases with sensitive data. References [1] N. Nagy and S. G. Akl, “A quantum cryptographic solution to the problem of access control in a hierarchy,” Parallel Processing Letters, vol. 20, no. 3, pp. 251–261, 2010.

scholarly journals BC Data ScoutTM: A New Tool To Investigate Datasets For Health Research

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Sarah Kesselring ◽  
Jessica Galo ◽  
Kelly Sanderson ◽  
Shirley Wong ◽  
Maureen Neuman ◽  
...  
Keyword(s):  
User Satisfaction ◽  
Population Data ◽  
Data Access ◽  
Data Availability ◽  
Administrative Databases ◽  
Hospital Data ◽  
Full Data ◽  
High Quality Research ◽  
Support Unit ◽  
Access Request

IntroductionBC’s Ministry of Health (MOH) maintains many administrative databases with rich information and analytical potential. Researchers are keen to use these data for both discovery and applied research. Historically, limited views of data availability and populations therein have supported study feasibility. Therefore, we developed BC Data ScoutTM, a cohort browser. Objectives and ApproachWe developed a cohort browser service to provide information to researchers planning a study using MOH data. The objective was to create a tool that is simple to use, provides quick results and is free to users to encourage its use. A better understanding of the data available can improve study quality and expand the user-base by giving researchers access to information not previously available during the planning stages. The tool will be evaluated by examining the number of requests received and a user satisfaction survey. Plans are in place to expand into additional data sources and extend query sophistication. ResultsThe BC Data ScoutTM online tool provides cohort information in the form of highly aggregated, approximate results to researchers planning a study. It was developed by the MOH, the BC SUPPORT Unit and Population Data BC (PopData) and was launched in February 2018. The service is delivered by PopData. BC Data ScoutTM offers province-wide information for query, is accessible to a wide group of eligible researchers, and has data availability from the year 2000 onwards. Four types of MOH data are available for query: hospital data; physician data; pharmaceutical data; and demographics. In addition to determining study feasibility, the aggregate reports also help to further refine a full data access request and provide enough information to complete and strengthen a funding application. Conclusion/ImplicationsBC Data ScoutTM will be beneficial for researchers planning to request data. This preliminary information may increase the chances of meaningful research studies to obtain funding, and the production of relevant, high-quality research results. BC will be among the first jurisdictions across Canada to offer this type of feasibility service.

IoTP an Efficient Privacy Preserving Scheme for Internet of Things Environment

2020 ◽  
Vol 14 (2) ◽  
pp. 116-142
Author(s):  
Shelendra Kumar Jain ◽  
Nishtha Kesswani
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Data Access ◽  
Privacy Preserving ◽  
Sensor Nodes ◽  
Sensitive Information ◽  
Time Data ◽  
Sensitive Data ◽  
Data Store ◽  
Collection Data

Many emerging fields are adopting Internet of Things technologies to incorporate smartness in respective areas. Several IoT based application area produces large volumes of real time data. Data aggregated through sensor nodes may contain highly sensitive information. An effective and successful IoT system must protect sensitive data from revealing to unauthorized persons. In this article, the authors present an efficient privacy-preserving mechanism called Internet of Things privacy (IoTp). The research simulates and analyzes the effectiveness of the proposed data aggregation and data access mechanism for a typical IoT system. Proposed IoTp scheme ensures privacy at data collection, data store and data access phases of the IoT system. The authors have compared proposed work with existing model. Results show that IoTp scheme is efficient and lightweight mechanism for data collection and data access. It is suitable for the resource constrained IoT ecosystems.

IoTP an Efficient Privacy Preserving Scheme for Internet of Things Environment

2021 ◽  
pp. 492-521
Author(s):  
Shelendra Kumar Jain ◽  
Nishtha Kesswani
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Data Access ◽  
Privacy Preserving ◽  
Sensor Nodes ◽  
Sensitive Information ◽  
Time Data ◽  
Sensitive Data ◽  
Data Store ◽  
Collection Data

Many emerging fields are adopting Internet of Things technologies to incorporate smartness in respective areas. Several IoT based application area produces large volumes of real time data. Data aggregated through sensor nodes may contain highly sensitive information. An effective and successful IoT system must protect sensitive data from revealing to unauthorized persons. In this article, the authors present an efficient privacy-preserving mechanism called Internet of Things privacy (IoTp). The research simulates and analyzes the effectiveness of the proposed data aggregation and data access mechanism for a typical IoT system. Proposed IoTp scheme ensures privacy at data collection, data store and data access phases of the IoT system. The authors have compared proposed work with existing model. Results show that IoTp scheme is efficient and lightweight mechanism for data collection and data access. It is suitable for the resource constrained IoT ecosystems.

scholarly journals On Blockchain Integration with Supply Chain: Overview on Data Transparency

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 46
Author(s):  
Houssein Hellani ◽  
Layth Sliman ◽  
Abed Ellatif Samhat ◽  
Ernesto Exposito
Keyword(s):  
Supply Chain ◽  
Data Access ◽  
Sensitive Data ◽  
Promising Technology ◽  
Data Transparency

Data transparency is essential in the modern supply chain to improve trust and boost collaboration among partners. In this context, Blockchain is a promising technology to provide full transparency across the entire supply chain. However, Blockchain was originally designed to provide full transparency and uncontrolled data access. This leads many market actors to avoid Blockchain as they fear for their confidentiality. In this paper, we highlight the requirements and challenges of supply chain transparency. We then investigate a set of supply chain projects that tackle data transparency issues by utilizing Blockchain in their core platform in different manners. Furthermore, we analyze the projects’ techniques and the tools utilized to customize transparency. As a result of the projects’ analyses, we identified that further enhancements are needed to set a balance between the data transparency and process opacity required by different partners, to ensure the confidentiality of their processes and to control access to sensitive data.

scholarly journals Global media flows: A qualitative review of research methods in audio-visual flow studies

2018 ◽  
Vol 81 (6-8) ◽  
pp. 748-767
Author(s):  
Catalina Iordache ◽  
Leo Van Audenhove ◽  
Jan Loisen
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Research Question ◽  
Secondary Data ◽  
Visual Content ◽  
Global Media ◽  
Film And Television ◽  
Recent Developments ◽  
Media Flows

Recent developments in the online distribution and consumption of audio-visual content have brought relevant changes to the transnational flow of content. Thus, the need for a theoretical and methodological rejuvenation of flows research has been signalled. The aim of the present study is to analyse the different flow studies throughout time, following a series of parameters such as research question, methodology and scale of study. This article is a systematic literature review of 30 flow studies on film and television programmes, published between 1974 and 2014. The methods used by the studies are brought into focus and discussed thoroughly, in light of the method of data collection, the type of data used and the method of data analysis. Main findings show an evolution towards more detailed research, to include more contextual factors, an increased use of secondary data, as well as more focused regional and comparative studies.

Industry 4.0 Digital Technologies for data collection and control

2021 ◽  
pp. 43-58
Author(s):  
S. S. Yudachev ◽  
P. A. Monakhov ◽  
N. A. Gordienko
Keyword(s):  
Data Collection ◽  
Open Source ◽  
Software Defined Radio ◽  
Block Diagram ◽  
Data Access ◽  
Gnu Radio ◽  
Time Data ◽  
Object A ◽  
Data Propagation ◽  
And Control

This article describes an attempt to create open source LabVIEW software, equivalent to data collection and control software. The proposed solution uses GNU Radio, OpenCV, Scilab, Xcos, and Comedi in Linux. GNU Radio provides a user-friendly graphical interface. Also, GNU Radio is a software-defined radio that conducts experiments in practice using software rather than the usual hardware implementation. Blocks for data propagation, code deletion with and without code tracking are created using the zero correlation zone code (ZCZ, a combination of ternary codes equal to 1, 0, and –1, which is specified in the program). Unlike MATLAB Simulink, GNU Radio is open source, i. e. free, and the concepts can be easily accessed by ordinary people without much programming experience using pre-written blocks. Calculations can be performed using OpenCV or Scilab and Xcos. Xcos is an application that is part of the Scilab mathematical modeling system, and it provides developers with the ability to design systems in the field of mechanics, hydraulics and electronics, as well as queuing systems. Xcos is a graphical interactive environment based on block modeling. The application is designed to solve problems of dynamic and situational modeling of systems, processes, devices, as well as testing and analyzing these systems. In this case, the modeled object (a system, device or process) is represented graphically by its functional parametric block diagram, which includes blocks of system elements and connections between them. The device drivers listed in Comedi are used for real-time data access. We also present an improved PyGTK-based graphical user interface for GNU Radio. English version of the article is available at URL: https://panor.ru/articles/industry-40-digital-technology-for-data-collection-and-management/65216.html

Interventions Promoting Educators’ Use of Data: Research Insights and Gaps

2012 ◽  
Vol 114 (11) ◽  
pp. 1-48 ◽  
Author(s):  
Julie A. Marsh
Keyword(s):  
Data Collection ◽  
Research Question ◽  
Time Frame ◽  
System Level ◽  
Quality Of Data ◽  
Leverage Points ◽  
Knowledge To Action ◽  
Use Of Data ◽  
The Individual ◽  
Capacity Data

Background/Context In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to, interpretation of, and responses to data of all kinds. Despite the emergence of these efforts, there has been little systematic examination of research on such efforts. Purpose/Objective/Research Question/Focus of Study This article synthesizes what we currently know about interventions to support educators’ use of data—ranging from comprehensive, system-level initiatives, such as reforms sponsored by districts or intermediary organizations, to more narrowly focused interventions, such as a workshop. The article summarizes what is what is known across studies about the design and implementation of these interventions, their effects at the individual and organizational levels, and the conditions shown to affect implementation and outcomes. Research Design Literature review. Data Collection and Analysis This review entailed systematic searches of electronic databases and careful sorting to yield a total of 41 books, peer-reviewed journal articles, and reports. Summaries of each publication were coded to identify the study methods (design, framework, sample, time frame, data collection), intervention design (level of schooling, focal data and data user, leverage points, components), and findings on implementation, effects, and conditions. Findings/Results The review uncovers a host of common themes regarding implementation, including promising practices (e.g., making data “usable” and “safe,” targeting multiple leverage points) and persistent challenges (e.g., developing support that is generic but also customized, sustaining sufficient support). The review also finds mixed findings and levels of research evidence on effects of interventions, with relatively more evidence on effects on educators’ knowledge, skills, and practice than on effects on organizations and student achievement. The article also identifies a set of common conditions found to influence intervention implementation and effects, including intervention characteristics (capacity, data properties), broader context (leadership, organizational structure), and individual relationships and characteristics (trust, beliefs and knowledge). Conclusions/Recommendations The review finds that the current research base is limited in quantity and quality. It suggests the need for more methodologically rigorous research and greater attention to the organizational and student-level outcomes of interventions, comparative analyses, interventions that help educators move from knowledge to action, and specific ways in which the quality of data and leadership practices shape the effectiveness of interventions.

PERANCANGAN APLIKASI SENSUS PENDUDUK PADA BADAN PUSAT STATISTIK KOTA MAKASSAR BERBASIS ANDROID

2021 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Nurkhalik Wahdanial Asbara
Keyword(s):  
Data Collection ◽  
Census Data ◽  
Population Data ◽  
Accurate Information ◽  
Population Census ◽  
Male Population ◽  
Female Population ◽  
Technological Developments ◽  
The Government ◽  
Population Ratio

Technological developments and changes in government systems are developing rapidly. Both of these lead to efforts to carry out duties, protect functions and serve the community. This encourages the government to take various adjustment steps quickly in line with the dynamics of development that occur. One of them is through a population census. The population census is an important issue that must be handled properly. The population census in this study takes population data in an area based on the number of male population, female population, ratio, and population density. The data was taken and submitted to the Makassar City Statistics Agency. Population Census is a presentation of information that has the ability to present accurate information, and helps facilitate the search for a population census data. The population census is carried out every 5 years which is carried out by census officers to carry out data collection to each resident's house, the data collection process is carried out by conventional recording and submitting it to the central statistics agency for database entry. With this application, it is expected to provide convenience to Population census officers to perform the process of inputting population data and the data is directly stored in the database without having to return to the office to input again.

scholarly journals Women’s journey of recovery from sexual assault trauma : a grounded theory - Part 2

Curationis ◽  
2007 ◽  
Vol 30 (4) ◽  
Author(s):  
S.E. Duma ◽  
J.N. Mekwa ◽  
L.D. Denny
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Sexual Assault ◽  
Data Collection ◽  
Research Question ◽  
Main Research ◽  
Sexually Assaulted

The purpose of the study was to explore and analyse the journey of recovery which is undertaken by women who have been sexually assaulted, with the aim of discovering the grounded theory of recovery from sexual assault within the first six months following the event of rape. The main research question was: ‘What is the journey o f recovery that is undertaken by women within the first six months following sexual assault?’ Another question that developed during data collection and data analysis was ‘What is the meaning that women attach to recovery?’ The findings are discussed under the eight concepts or categories and the context and the intervening conditions that influence the journey of recovery from sexual assault trauma. Refer to part 1 article. These are complemented with abstracts of data from the participants’ voices and the related discussions. The developed theory highlights the process and the interconnectedness of the different stages of what the women experience in their journey of recovery from sexual assault trauma.

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