scholarly journals Privacy and Security Requirements for a Digital Data Hub

2021 ◽  
Author(s):  
Martin Gfeller ◽  
Thomas Hardjono
Keyword(s):  
Data Collection ◽  
Digital Data ◽  
Security Requirements ◽  
Process Data ◽  
Privacy And Security ◽  
Daily Lives ◽  
Business Transactions ◽  
Private Banking

A Digital Data Hub provides <b>Data Accounts</b> wherein persons may store data that are collected in their interaction with organizations. The hub is extensible by contributed <b>Data Apps</b> that gather and process data and conduct business transactions. They may act as Agents assisting the users in their daily lives. Private-banking-grade Privacy and Security ensure that the power of this data collection cannot be misused. Schema standardization is key to ensure privacy and security.

scholarly journals Privacy and Security Requirements for a Digital Data Hub

2021 ◽  
Author(s):  
Martin Gfeller ◽  
Thomas Hardjono
Keyword(s):  
Data Collection ◽  
Digital Data ◽  
Security Requirements ◽  
Process Data ◽  
Privacy And Security ◽  
Daily Lives ◽  
Business Transactions ◽  
Private Banking

A Digital Data Hub provides <b>Data Accounts</b> wherein persons may store data that are collected in their interaction with organizations. The hub is extensible by contributed <b>Data Apps</b> that gather and process data and conduct business transactions. They may act as Agents assisting the users in their daily lives. Private-banking-grade Privacy and Security ensure that the power of this data collection cannot be misused. Schema standardization is key to ensure privacy and security.

scholarly journals LEARNING IN/DEPENDENTLY IN REFUGEE CAMPS: COMMUNITY-BASED PERSPECTIVES ON TEACHING, LEARNING, AND TECHNOLOGY

2021 ◽  
Author(s):  
Negin Dahya ◽  
Cansu Ekmekcioglu ◽  
Olivier Arvisais ◽  
Laurie Decarpentrie
Keyword(s):  
Data Collection ◽  
Teaching And Learning ◽  
Refugee Camp ◽  
Digital Data ◽  
Community Based ◽  
Daily Lives ◽  
Music Production ◽  
Future Technology ◽  
Asking Questions ◽  
Teaching Learning

The focus of this project is to understand the ways in which teaching, learning, and technology interact in/dependently in the daily lives of refugee people in Dzaleka Refugee Camp at home, in the community, and at school. Distinctly, we are asking questions about the role of technology in the everyday lives of refugee people in Dzaleka, and specifically related to how teaching and learning relationships are enacted with, about, and around tools that are of value to community members. This AoIR paper will be framed around two key components of this work. The first pertains to the methods in place, specifically, participatory qualitative research methods using remote, digital data collection. The second area of focus is on the preliminary findings from data collection underway between April-July 2021, based on the socio-technical exploration of teaching and learning with technology in Dzaleka. Our study, at present, focuses on three settings: online learning, music production and DJing, and sewing. This work sheds light on novel, in/dependent forms of teaching and learning in these areas in one refugee camp. And this work is needed to inform future technology initiatives in those settings from a community based perspective.

scholarly journals Security and Privacy for Mobile IoT Applications Using Blockchain

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5931
Author(s):  
Kevin Carvalho ◽  
Jorge Granjal
Keyword(s):  
Security Requirements ◽  
Security And Privacy ◽  
Privacy By Design ◽  
Privacy And Security ◽  
Daily Lives ◽  
Smart Vehicles ◽  
Iot Applications ◽  
Application Data ◽  
Viable Approach ◽  
Edge Layer

Internet of Things (IoT) applications are becoming more integrated into our society and daily lives, although many of them can expose the user to threats against their privacy. Therefore, we find that it is crucial to address the privacy requirements of most of such applications and develop solutions that implement, as far as possible, privacy by design in order to mitigate relevant threats. While in the literature we may find innovative proposals to enhance the privacy of IoT applications, many of those only focus on the edge layer. On the other hand, privacy by design approaches are required throughout the whole system (e.g., at the cloud layer), in order to guarantee robust solutions to privacy in IoT. With this in mind, we propose an architecture that leverages the properties of blockchain, integrated with other technologies, to address security and privacy in the context of IoT applications. The main focus of our proposal is to enhance the privacy of the users and their data, using the anonymisation properties of blockchain to implement user-controlled privacy. We consider an IoT application with mobility for smart vehicles as our usage case, which allows us to implement and experimentally evaluate the proposed architecture and mechanisms as a proof of concept. In this application, data related to the user’s identity and location needs to be shared with security and privacy. Our proposal was implemented and experimentally validated in light of fundamental privacy and security requirements, as well as its performance. We found it to be a viable approach to security and privacy in IoT environments.

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.

Perkembangan Bahasa Anak Usia 12 Hingga 24 Bulan di Semarang

2018 ◽  
Vol 1 (2) ◽  
pp. 66
Author(s):  
Marini Marini ◽  
Khasanah Khasanah
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Model Checking ◽  
Language Development ◽  
Qualitative Method ◽  
Questionnaire Data ◽  
Daily Lives ◽  
Analysis Techniques ◽  
Development Of Language

Abstract The  problem  of this research is : How is the language development of children age 12 to 24 months in Semarang ?. The purpose of this study is to describe widely and deeply about language development the children age 12 to 24 in Semarang. The method used in this research is qualitative method. Data collection is done by observation, interviews, and questionnaire. Data analysis techniques using Miles Hubermen’s model. Checking the validity of the data using triangulation data. The results showed that the development of language of children aged 12 to 24 months in Semarang in expressive is: can produce sound almost perfect in several words; Some of the letters of the words missing from the pronunciation; The missing letters are usually consonants; Haven't been able to pronounce the letter s and r; In General, most people are able to understand the speech of the children is an adult who is close to the child; There is a word that can be spelled perfectly by the child. The words are by and large is the words that are simple and close to the children's daily lives. As for the generally receptive: children can follow and obey what is spoken by adults; The children seem to understand when the adults were talking about them; and children  can understand  to the words that they  heard more than that they can speak.   Keywords: Language, children, expressive, receptive, word.    

Using digital data collection tools to improve overall cost-efficiency and provide timely analysis for decision making during invasive species eradication campaigns

2014 ◽  
Vol 41 (6) ◽  
pp. 499 ◽  
Author(s):  
David J. Will ◽  
Karl J. Campbell ◽  
Nick D. Holmes
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Cost Efficiency ◽  
Relational Databases ◽  
Cost Effective ◽  
Digital Data ◽  
Capital Costs ◽  
Project Costs ◽  
Time Required ◽  
Data Collection Effort

Context Worldwide, invasive vertebrate eradication campaigns are increasing in scale and complexity, requiring improved decision making tools to achieve and validate success. For managers of these campaigns, gaining access to timely summaries of field data can increase cost-efficiency and the likelihood of success, particularly for successive control-event style eradications. Conventional data collection techniques can be time intensive and burdensome to process. Recent advances in digital tools can reduce the time required to collect and process field information. Through timely analysis, efficiently collected data can inform decision making for managers both tactically, such as where to prioritise search effort, and strategically, such as when to transition from the eradication phase to confirmation monitoring. Aims We highlighted the advantages of using digital data collection tools, particularly the potential for reduced project costs through a decrease in effort and the ability to increase eradication efficiency by enabling explicit data-informed decision making. Methods We designed and utilised digital data collection tools, relational databases and a suite of analyses during two different eradication campaigns to inform management decisions: a feral cat eradication utilising trapping, and a rodent eradication using bait stations. Key results By using digital data collection during a 2-year long cat eradication, we experienced an 89% reduction in data collection effort and an estimated USD42 845 reduction in total costs compared with conventional paper methods. During a 2-month rodent bait station eradication, we experienced an 84% reduction in data collection effort and an estimated USD4525 increase in total costs. Conclusions Despite high initial capital costs, digital data collection systems provide increasing economics as the duration and scale of the campaign increases. Initial investments can be recouped by reusing equipment and software on subsequent projects, making digital data collection more cost-effective for programs contemplating multiple eradications. Implications With proper pre-planning, digital data collection systems can be integrated with quantitative models that generate timely forecasts of the effort required to remove all target animals and estimate the probability that eradication has been achieved to a desired level of confidence, thus improving decision making power and further reducing total project costs.

The Study of Motor Winding Testing System for Inter-Turn with 30kV

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Field Test ◽  
Performance Indicators ◽  
Testing System ◽  
Time Data ◽  
Process Data ◽  
Real Time Data ◽  
Long Time ◽  
Factory Testing

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.

A Case of Academic Social Networking Sites Usage in Malaysia

2016 ◽  
Vol 9 (2) ◽  
pp. 88-99 ◽  
Author(s):  
Maryam Salahshour ◽  
Halina Mohamed Dahlan ◽  
Noorminshah A. Iahad
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Academic Research ◽  
Perceived Usefulness ◽  
Privacy And Security ◽  
Daily Lives ◽  
Research Activities ◽  
New Type ◽  
Technology And Communication ◽  
The Impact

Social networking tools have become an integral part of our daily lives. Recently, a new type of Social Networking Sites (SNSs) namely Academic Social Networking sites (ASNSs) has attracted global users. There is perceived usefulness on the impact of ASNSs on patterns of academic research activities. However, it remains unclear why some researchers do not use ASNSs at all. The purpose of this paper is therefore to explore the ASNSs usage among Malaysian academic researchers and to investigate benefits, specific purpose, drivers and barriers of using ASNSs. A total of 210 completed cases were collected through paper-based and online-based questionnaire. In order to show the outcome of the research, descriptive interpretation of data is performed. The overall findings of this research indicate that there is low rate of ASNSs usage among researchers. In addition, the results show that colleagues, attitude toward technology and communication benefits are the drivers to use ASNSs and trust, privacy and security are the common barriers regarding to use ASNSs.

ECM Process—Data Collection

2020 ◽  
pp. 53-59
Author(s):  
Marvin Howell ◽  
Fadi S. Alshakhshir
Keyword(s):  
Data Collection ◽  
Process Data

scholarly journals A State-wide Health IT Infrastructure for Population Health: Building a Community-wide Electronic Platform for Maryland’s All-Payer Global Budget

2017 ◽  
Vol 9 (3) ◽  
Author(s):  
Elham Hatef ◽  
Hadi Kharrazi ◽  
Ed VanBaak ◽  
Marc Falcone ◽  
Lindsey Ferris ◽  
...  
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Population Health ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Smoking Status ◽  
Digital Data ◽  
Health It ◽  
Global Budget ◽  
Health Initiatives

Maryland Department of Health (MDH) has been preparing for alignment of its population health initiatives with Maryland’s unique All-Payer hospital global budget program. In order to operationalize population health initiatives, it is required to identify a starter set of measures addressing community level health interventions and to collect interoperable data for those measures. The broad adoption of electronic health records (EHRs) with ongoing data collection on almost all patients in the state, combined with hospital participation in health information exchange (HIE) initiatives, provides an unprecedented opportunity for near real-time assessment of the health of the communities. MDH’s EHR-based monitoring complements, and perhaps replaces, ad-hoc assessments based on limited surveys, billing, and other administrative data. This article explores the potential expansion of health IT capacity as a method to improve population health across Maryland.First, we propose a progression plan for four selected community-wide population health measures: body mass index, blood pressure, smoking status, and falls-related injuries. We then present an assessment of the current and near real-time availability of digital data in Maryland including the geographic granularity on which each measure can be assessed statewide. Finally, we provide general recommendations to improve interoperable data collection for selected measures over time via the Maryland HIE. This paper is intended to serve as a high- level guiding framework for communities across the US that are undergoing healthcare transformation toward integrated models of care using universal interoperable EHRs.

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