Online Personal Data Licensing

Author(s):  
Yuh-Jzer Joung ◽  
Shi-Cho Cha

We propose a new technical and legal approach, called online personal data licensing (OPDL), for responding to concerns about the privacy of personal data. Unlike traditional privacy-enhancing technologies that typically aim to hide personal data, OPDL enables individuals to concretize their consent to allow others to use their personal data as licenses. Service providers must obtain licenses before legally collecting, processing, or using a person’s data. By allowing individuals to issue their own licenses and to determine the content of the licenses, OPDL brings the control of personal data back to their owner, and ensures that the use of the data is strictly under the owner’s consent. In contrast, most Web-based service providers today use passive consent, which usually results in situations in which users have inadvertently given the providers the authorization to use their personal data. Besides, users generally do not have information on who still owns a copy of their data, and how their data have been, or will be, used.

2019 ◽  
Author(s):  
Julien Déry ◽  
Angel Ruiz ◽  
François Routhier ◽  
Marie-Pierre Gagnon ◽  
André Côté ◽  
...  

BACKGROUND Queueing patients on waiting lists is a common practice to manage access to rehabilitation services. To increase fairness and equity in access, a strategy emerging from the literature is patient prioritization. The goal is for patients with the greatest needs to be treated first and for patient wait times to be determined objectively on the basis of explicit criteria. Selecting criteria, however, is a complex task because it is important to simultaneously consider the objectives of all stakeholders. OBJECTIVE The aim of this study was to compare service users’ and service providers’ perspectives regarding patient prioritization criteria in two rehabilitation programs. METHODS We conducted a multiple case study in two rehabilitation programs at the Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale in Quebec City (Canada), i.e. a driving evaluation program (DEP) and a compression garment manufacturing program (CGMP). We sent a web-based survey asking two groups (patients and providers) of informed stakeholders to individually produce a set of criteria. We then conducted an inductive thematic analysis where each group’s individual answers were coded and combined in a single set of criteria. RESULTS Stakeholders from the DEP identified a total of 22 criteria to prioritize patients while those from the CGMP listed 27 criteria. Providers shared 76% of the criteria mentioned by patients. Some criteria, such as age, occupation, functional level, pain, absence of caregiver, and time since referral, were considered important by both stakeholders in both programs. CONCLUSIONS Patients and providers tended to have similar opinions about a majority of the criteria to prioritize patients in waitlists. Nonetheless, our study confirms that patients and providers base their choices on different types of knowledge and values, which explains some of the differences observed. Taking into consideration the opinions of all stakeholders concerning prioritization criteria is an important part of the decision-making process, based on a multiple constituency approach.


2017 ◽  
Author(s):  
Daniele Pierpaolo Colobraro ◽  
Paolo Romano

Due to the fragmentation of microbial information and the several branch of human activities encompassed by microorganism applications, a comprehensive approach for merging information on microbes is needed. Although on line service providers collect several data on microorganisms and provide services for microbial Biological Resource Centres (mBRCs), such services are still limited both in contents and aims. The USMI Galaxy Demonstrator (UGD), an implementation of the Galaxy framework exploiting the XML-based Microbiological Common Language (MCL), is meant to support researchers to make an integrated access to enriched information from microbial catalogues, as well as to help mBRC curators in validating and enriching the contents of their catalogues. Researchers and mBRC curators may exploit the UGD to avoid manual, potentially long, searches on the web and to identify and select microorganisms of interest. UGD tools are written in Python, version 2.7. They allow to enrich the basic information provided by catalogues with related taxonomy, literature, sequence and chemical compound data retrieved from some of the main databases on the basis of the strain number, i.e. the unique identifier for a given culture, and the species names. The data is retrieved by querying database Web Services using either the Simple Object Access Protocol (SOAP) or the Representational State Transfer (REST) access protocols. The MCL format provides a versatile way to archive and exchange data among mBRCs. Galaxy is a well-known, open, web-based platform which offers many tools to retrieve, manage and analyze different kind of information arising from any life science domain. By exploiting Galaxy flexibility,UGD implements some tools and workflows that can be used to find and integrate several information on microorganisms. UGD tools integrate basic information which may support mBRC staff in the insertion of all fundamental strain information in a proper format allowing integration and interoperability with external databases. They also extend the output by adding information on source materials, including species and strain numbers, and retrieve associated microorganisms which use a compound or an enzyme in whatever metabolic pathway by returning the accession number, synonyms, links to external databases, taxon name, and strain number of the requested molecule.


10.2196/17349 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17349
Author(s):  
Aijing Luo ◽  
Zirui Xin ◽  
Yifeng Yuan ◽  
Tingxiao Wen ◽  
Wenzhao Xie ◽  
...  

Background With the rapid development of online health communities, increasing numbers of patients and families are seeking health information on the internet. Objective This study aimed to discuss how to fully reveal the health information needs expressed by patients with hypertension in their questions in a web-based environment and how to use the internet to help patients with hypertension receive personalized health education. Methods This study randomly selected 1000 text records from the question data of patients with hypertension from 2008 to 2018 collected from Good Doctor Online and constructed a classification system through literature research and content analysis. This paper identified the background characteristics and questioning intention of each patient with hypertension based on the patient’s question and used co-occurrence network analysis and the k-means clustering method to explore the features of the health information needs of patients with hypertension. Results The classification system for the health information needs of patients with hypertension included the following nine dimensions: drugs (355 names), symptoms and signs (395 names), tests and examinations (545 names), demographic data (526 kinds), diseases (80 names), risk factors (37 names), emotions (43 kinds), lifestyles (6 kinds), and questions (49 kinds). There were several characteristics of the explored web-based health information needs of patients with hypertension. First, more than 49% of patients described features, such as drugs, symptoms and signs, tests and examinations, demographic data, and diseases. Second, patients with hypertension were most concerned about treatment (778/1000, 77.80%), followed by diagnosis (323/1000, 32.30%). Third, 65.80% (658/1000) of patients asked physicians several questions at the same time. Moreover, 28.30% (283/1000) of patients were very concerned about how to adjust the medication, and they asked other treatment-related questions at the same time, including drug side effects, whether to take the drugs, how to treat the disease, etc. Furthermore, 17.60% (176/1000) of patients consulted physicians about the causes of clinical findings, including the relationship between the clinical findings and a disease, the treatment of a disease, and medications and examinations. Fourth, by k-means clustering, the questioning intentions of patients with hypertension were classified into the following seven categories: “how to adjust medication,” “what to do,” “how to treat,” “phenomenon explanation,” “test and examination,” “disease diagnosis,” and “disease prognosis.” Conclusions In a web-based environment, the health information needs expressed by Chinese patients with hypertension to physicians are common and distinct, that is, patients with different background features ask relatively common questions to physicians. The classification system constructed in this study can provide guidance to health information service providers for the construction of web-based health resources, as well as guidance for patient education, which could help solve the problem of information asymmetry in communication between physicians and patients.


2019 ◽  
Vol 15 (1) ◽  
pp. 77-84
Author(s):  
Warjiyono Warjiyono ◽  
Sopian Aji ◽  
Tri Indah Permesti

Public service is an activity of service for every citizen and resident for goods, services, and / or administrative services provided by public service providers, namely the Regional Disaster Management Agency (BPBD) of Brebes Regency. The quality of public services must have the principle of openness or transparency, easily accessible, accountability and cling to the principles of efficiency and effectiveness. But in fact the current information and reporting of disasters is still conventional. This study aims to reflect and build a Web-Based Disaster Geographic Information System using Extreme Programming method. The research method uses qualitative methods with descriptive data analysis techniques. Data obtained by observation and interviews. The benefit of this application is to improve services to the Brebes Regional Disaster Management Agency also useful for internal from the Implementing Party or Admin who can manage Disaster Area data online, accurately, and quickly. As well as greatly helping the community to obtain maps of information on disaster-prone areas, the latest disaster information and the community can report directly on disaster events so that the Regional Government can directly handle the disaster.


Author(s):  
Peter J. Allen ◽  
Lynne D. Roberts

The increasing level of Internet penetration over the last decade has made web surveying a viable option for data collection in academic research. Software tools and services have been developed to facilitate the development and deployment of web surveys. Many academics and research students are outsourcing the design and/or hosting of their web surveys to external service providers, yet ethical issues associated with this use have received limited attention in academic literature. In this article, the authors focus on specific ethical concerns associated with the outsourcing of web surveys with particular reference to external commercial web survey service providers. These include threats to confidentiality and anonymity, the potential for loss of control over decisions about research data, and the reduced credibility of research. Suggested guidelines for academic institutions and researchers in relation to outsourcing aspects of web-based survey research are provided.


Author(s):  
Anna Rohunen ◽  
Jouni Markkula

Personal data is increasingly collected with the support of rapidly advancing information and communication technology, which raises privacy concerns among data subjects. In order to address these concerns and offer the full benefits of personal data intensive services to the public, service providers need to understand how to evaluate privacy concerns in evolving service contexts. By analyzing the earlier used privacy concerns evaluation instruments, we can learn how to adapt them to new contexts. In this article, the historical development of the most widely used privacy concerns evaluation instruments is presented and analyzed regarding privacy concerns' dimensions. Privacy concerns' core dimensions, and the types of context dependent dimensions, to be incorporated into evaluation instruments are identified. Following this, recommendations on how to utilize the existing evaluation instruments are given, as well as suggestions for future research dealing with validation and standardization of the instruments.


2020 ◽  
Vol 2 (3) ◽  
pp. 174-180
Author(s):  
Adriyansah Efendi Noor ◽  
Pahrul Irfan

Vocational High School or in Indonesian abbreviated as SMK, is a government program that was built with the aim that students can have expertise in certain fields and can be the initial capital for them in looking for work. An accredited educational curriculum and the many practical activities provided to students can also ensure that SMK graduates are ready to enter the workforce. However, in today's world of work, it requires workers who, in addition to having skills, must also have work experience. There are events held by the government regarding Job Vacancy info which are held only a few times a year so that more participants are participating and the unemployment rate in the regions is getting higher. Based on the above problems, the authors provide a solution by creating a "Freelance Service Provider Application" which is expected to bring together workers and job seekers. The application is made web-based so that it can be easily accessed through various types of devices. The author also implements Progressive Web Apps technology or also known as PWA so that it can be more easily accessed on mobile devices. Based on the results of the discussion on the implementation of PWA technology for making applications for freelance service providers, this can be a means for the public and prospective workers to meet and conduct transactions. So based on the questionnaire data obtained from the respondents, it can be concluded that the research carried out was successful and it is felt that it can help the graduates of SMK 3 Mataram to get jobs and also work experience


Temida ◽  
2009 ◽  
Vol 12 (3) ◽  
pp. 89-108
Author(s):  
Marina Kovacevic-Lepojevic ◽  
Borko Lepojevic

The aim of this paper is to present research findings on prevalence and characteristics of cyberstalking in Serbia. A web-based questionnaire was used to collect data from a group of respondents who were recruited by snowball sampling via e-mail. A total of 237 respondents completed the online questionnaire. The aim of the first part of this paper is to determine the notion of cyberstalking as well as, to review research about the prevalence and the nature of stalking. The main results are the following: 39,6 % of respondents reported stalking; every fourth stalking victim is a victims of cyberstalking; mostly, cyberstalking victims were female and perpetrators were male. Victims were stalked by: persistent sending of unwanted e-mails and telephone calls, spreading rumors, abusive and negative comments and threats, encouraged other users to harass, threaten or insult, manipulating with victim's personal data, sending malicious programs and files, etc. In Serbia, cyberstalking is not criminalized yet and there are no organizations to whom victims may appeal and ask for help. We are hoping that this research will raise the awareness on cyberstalking and serve as a base for further research and legal reforms regarding cyberstalking victimization in Serbia.


2022 ◽  
pp. 168-196
Author(s):  
Heru Susanto ◽  
Fahmi Ibrahim ◽  
Rodiah ◽  
Didi Rosiyadi ◽  
Desi Setiana ◽  
...  

Financial technology (FinTech) as part of financial inlcussion changes conventional business models to be information technology minded. The presence of FinTech in the wider community makes it easy for access to financial service products and transactions and payment systems more practically, efficiently, and economically. Unfortunately, as the security risk in transacting increases, cyber security in the financial services industry and FinTech service providers is considered a major target by cybercriminals. This study proposed a security management approach through hybrid blockchain method implemented through flask framework and encryption to protect transaction data. The results are promising. Referring to accuracy, this study successfully reduces data leakage and misuse of personal data and financial data in FinTechs.


Along with the heterogeneous devices, Web-based content increases the necessity for computational services. However, recent trends make it difficult to execute such computations at the terminal side, whereas service providers often allow computations during different load operations. Many computational services are using conventional distributed systems, which provide successful packet transmission in IP networks. In this chapter, proxy architecture and its related tasks are discussed. Some of the necessary requirements, such as incremental scalability, 24x7 availability, and cost-effectiveness, are recognized for scalable network services. To administrate a large cluster and to construct a cluster-based scalable network services, a layered architecture is recommended. This architecture captures the scalable network service requirements and utilizes service-programming models to perform Transformation, Aggregation, Caching, and Customization (TACC) of Internet substance. For better performance, the architecture with the TACC programming model uses data semantics to create novel network services.


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