Is the Expectation of Privacy a Dying Standard? The Government’s Access to Biological Data, Consumer Data and Bioinformatics – And the Limitations that Should be in Place

The Judicial System is by and large a backward-looking, rather than a forward-looking system. The rapid advancement of technology is creating a greater strain on our legal framework. The current legal system considers whether the Technology is in common use to determine the expectation of privacy, however, this legal standard will, and arguably already does, lack the flexibility to make timely and efficient determinations on the constitutionality of using certain technology for governmental searches and seizures. The solution is a proactive approach through a combination of Legislative and Judicial action that will ensure individual privacy is protected in an ever-advancing technological world.

Privacy Preservation for On-Chain Data in the Permission less Blockchain using Symmetric Key Encryption and Smart Contract

Blockchain technology provides several suitable characteristics such as immutability, decentralization and verifiable ledger. It records the transactions in a decentralized way and can be integrated into several fields like eHealth, e-Government and smart cities etc. However, blockchain has several privacy and security issues, one of them is the on-chain data privacy. To deal with this issue we provide a privacy-preserving solution for permission less blockchain to empower the user to take control of transaction data in the open ledger. This work focuses on designing and developing the peer-to-peer system using symmetric cryptography and ethereum smart contract. In this scheme, we create smart contracts for the interaction of the data provider, data consumer, and access control list. Data providers register authorized users in the access control list. Data consumers can check their validity in the access control list. After successful validation, data consumers can request the security key from data providers to access secret information. Based on successful validation, a smart contract that is created between the data provider and data consumer is executed to send a key to the data consumer for accessing the secret information. The smart contracts of this proposed model are modeled in solidity, and the performance of the contracts is assessed in the Ropsten test network.

British Columbia’s Health Data Platform: Unleashing the Power of a Data Environment Commons for Health and Health System Improvement

IntroductionThere is no power for change greater than a community discovering what it cares about.1 The Health Data Platform (HDP) will democratize British Columbia’s (population of approximately 4.6 million) health sector data by creating common enabling infrastructure that supports cross-organization analytics and research used by both decision makers and cademics. HDP will provide streamlined, proportionate processes that provide timelier access to data with increased transparency for the data consumer and provide shared data related services that elevate best practices by enabling consistency across data contributors, while maintaining continued stewardship of their data. HDP will be built in collaboration with Swansea University following an agile pragmatic approach starting with a minimum viable product. Objectives and ApproachBuild a data sharing environment that harnesses the data and the understanding and expertise about health data across academe, decision makers, and clinicians in the province by: Enabling a common harmonized approach across the sector on: Data stewardship Data access Data security and privacy Data management Data standards To: Enhance data consumer data access experience Increase process consistency and transparency Reduce burden of liberating data from a data source Build trust in the data and what it is telling us and therefore the decisions made Increase data accessibility safely and responsibly Working within the jurisdiction’s existing legislation, the Five Safes Privacy and Security Framework will be implemented, tailored to address the requirements of data contributors. ResultsThe minimum viable product will provide the necessary enabling infrastructure including governance to enable timelier access, safely to administrative data to a limited set of data consumers. The MVP will be expanded with another release planned for early 2021. Conclusion / ImplicationsCollaboration with Swansea University has enabled BC to accelerate its journey to increasing timelier access to data, safely and increasing the maturity of analytics by creating the enabling infrastructure that promotes collaboration and sharing of data and data approaches. 1 Margaret Wheatley

Content Diversity1

This chapter considers the programme genres in public service broadcasting. Genres that have been traditionally associated with public service broadcasting — such as education, natural history, science, arts, current affairs, children's and religion — have been in steady decline for over a decade. A shift to on-demand viewing in recent years has further segmented viewing habits. Although the vast majority of viewing continues to be live, some genres are increasingly viewed on catch-up services. Big entertainment shows and sports events often account for the highest proportion of live viewing, compared to drama series, which have the highest proportion of on-demand viewing. These trends point to the increasing complexity of maintaining public service mixed genre provision given an increasing reliance on ‘big data’, consumer preferences, and taste algorithms that may limit the diversity and visibility of a broad range of genres.

Get a Sample for a Discount: Sampling-Based XML Data Pricing

While price and data quality should define the major trade-off for consumers in data markets, prices are usually prescribed by vendorsand data quality is not negotiable. In this paper we study a modelwhere data quality can be traded for a discount. We focus on the case ofXML documents and consider completeness as the quality dimension. Inour setting, the data provider offers an XML document, and sets boththe price of the document and a weight to each node of the document,depending on its potential worth. The data consumer proposes a price.If the proposed price is lower than that of the entire document, thenthe data consumer receives a sample, i.e., a random rooted subtree ofthe document whose selection depends on the discounted price and theweight of nodes. By requesting several samples, the data consumer caniteratively explore the data in the document. We show that the uniformrandom sampling of a rooted subtree with prescribed weight isunfortunately intractable. However, we are able to identify several practical casesthat are tractable. The first case is uniform random sampling of a rootedsubtree with prescribed size; the second case restricts to binary weights.For both these practical cases we present polynomial-time algorithmsand explain how they can be integrated into an iterative exploratorysampling approach.