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Data Ethics
Big data ethics also known as simply data ethics refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially. Big data describes this large amount of data that is so voluminous and complex that traditional data processing application software is inadequate to deal with them. Recent innovations in medical research and healthcare, such as high-throughput genome sequencing, high-resolution imaging, electronic medical patient records and a plethora of internet-connected health devices have triggered a data deluge that will reach the exabyte range in the near future. Data ethics is of increasing relevance as the quantity of data increases because of the scale of the impact. Big data ethics are different from information ethics because the focus of information ethics is m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
General Data Protection Regulation
The General Data Protection Regulation (GDPR) is a European Union regulation on data protection and privacy in the EU and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and of human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also addresses the transfer of personal data outside the EU and EEA areas. The GDPR's primary aim is to enhance individuals' control and rights over their personal data and to simplify the regulatory environment for international business. Superseding the Data Protection Directive 95/46/EC, the regulation contains provisions and requirements related to the processing of personal data of individuals, formally called "data subjects", who are located in the EEA, and applies to any enterprise—regardless of its location and the data subjects' citizenship or residence—that is processing the personal information of individuals inside the EEA. The GDPR was ado ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dynamic Consent
Dynamic consent is an approach to informed consent that enables on-going engagement and communication between individuals and the users and custodians of their data. It is designed to address the many issues that are raised by the use of digital technologies in research and clinical care that enable the wide-scale use, linkage, analysis and integration of diverse datasets and the use of AI and big data analyses. These issues include how to obtain informed consent in a rapidly-changing environment; growing expectations that people should know how their data is being used; increased legal and regulatory requirements for the management of secondary use of data in biobanks and other medical research infrastructure. The concept has been developed in 2007 by an Italian group who introduced the concept of an ongoing process between researcher and participant where "technology now allows the establishment of dynamic participant–researcher partnerships." Dynamic Consent therefore describes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
The Open Definition
The Open Definition is a document published by the Open Knowledge Foundation (OKF) (previously Open Knowledge International) to define openness in relation to data and content. It specifies what licences for such material may and may not stipulate, in order to be considered open licences. The definition itself was derived from the Open Source Definition for software. OKI summarise the document as: The latest form of the document, published in November 2015, is version 2.1. The use of language in the document is conformant with RFC 2119. The document is available under a Creative Commons Attribution 4.0 International License, which itself meets the Open Definition. History * August 2005: Circulation of the first draft of the Open Definition, v0.1. * July 2006: publication of v1.0 * November 2009: publication of v1.1 * October 2014: publication of v2.0 * November 2015: publication of v2.1 See also * Berlin Declaration on Open Access to Knowledge in the Sciences and Hum ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Open Knowledge International
Open Knowledge Foundation (OKF) is a global, non-profit network that promotes and shares information at no charge, including both content and data. It was founded by Rufus Pollock on 20 May 2004 in Cambridge, UK. It is incorporated in England and Wales as a private company limited by guarantee. Between May 2016 and May 2019 the organisation was named ''Open Knowledge International'', but decided in May 2019 to return to ''Open Knowledge Foundation''. Aims The aims of Open Knowledge Foundation are: *Promoting the idea of open knowledge, both what it is, and why it is a good idea. *Running open knowledge events, such as OKCon. *Working on open knowledge projects, such as Open Economics or Open Shakespeare. *Providing infrastructure, and potentially a home, for open knowledge projects, communities and resources. For example, the KnowledgeForge service and CKAN. *Acting at UK, European and international levels on open knowledge issues. People Renata Ávila Pinto joined as the n ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Wake Forest Law Review
The ''Wake Forest Law Review'' is a law journal edited and published by students at the Wake Forest University School of Law. Rankings In 2013, the ''Wake Forest Law Review'' was ranked 40th overall among American law reviews by the ''Washington and Lee Law Review The ''Washington and Lee Law Review'' is a law review published four times each year by the Washington and Lee University School of Law and founded in 1939. It presents lead articles contributed by leading scholars, judges, and lawyers, as well ...'' rankings, 2005–2012. In 2006, ExpressO ranked the ''Law Review'' 13th among the 100 Most Popular General Student Law Reviews, based upon submissions. Membership selection The ''Wake Forest Law Review'' extends invitations to approximately twenty percent of each rising 2L class and to any rising 3L student who enters the top ten percent of the class after the second year. ''Law Review'' members are selected in two ways. First, students ranked in the top ten perce ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Predictive Policing
Predictive policing is the usage of mathematics, predictive analytics, and other analytical techniques in law enforcement to identify potential criminal activity. A report published by the RAND Corporation identified four general categories predictive policing methods fall into: methods for predicting crimes, methods for predicting offenders, methods for predicting perpetrators' identities, and methods for predicting victims of crime. Methodology Predictive policing uses data on the times, locations and nature of past crimes to provide insight to police strategists concerning where, and at what times, police patrols should patrol, or maintain a presence, in order to make the best use of resources or to have the greatest chance of deterring or preventing future crimes. This type of policing detects signals and patterns in crime reports to anticipate if crime will spike, when a shooting may occur, where the next car will be broken into, and who the next crime victim will be. Algorith ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detecti ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Weapons Of Math Destruction
''Weapons of Math Destruction'' is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil. It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality. It was longlisted for the 2016 National Book Award for Nonfiction but did not make it through the shortlist. The book has been widely reviewed, and won the Euler Book Prize. Overview O'Neil, a mathematician, analyses how the use of big data and algorithms in a variety of fields, including insurance, advertising, education, and policing, can lead to decisions that harm the poor, reinforce racism, and amplify inequality. According to National Book Foundation: She posits that these problematic mathematical tools share three key features: they are opaque, unregulated, and difficult to contest. They are also scalable, thereby amplifying any inherent biases to affect increasingly larger populations. WMDs, or Weapons of Math Destruction, are mathematical ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Digital Identity
A digital identity is information used by computer systems to represent an external agent – a person, organization, application, or device. Digital identities allow access to services provided with computers to be automated and make it possible for computers to mediate relationships. The use of digital identities is so widespread that many discussions refer to the ''entire'' collection of information generated by a person's online activity as a "digital identity". This includes usernames, passwords, Search engine, search history, birthdate, social security number, and purchase history, especially where that information is publicly available and not anonymized and so can be used by others to discover that person's civil identity. In this broader sense, a digital identity is a facet of a person's social identity and is also referred to as ''online identity''. An individual's digital identity is often linked to their civil or national identity and many countries have instituted n ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
