Statistical Disclosure Control
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Statistical Disclosure Control
Statistical disclosure control (SDC), also known as statistical disclosure limitation (SDL) or disclosure avoidance, is a technique used in data-driven research to ensure no person or organization is identifiable from the results of an analysis of survey or administrative data, or in the release of microdata. The purpose of SDC is to protect the confidentiality of the respondents and subjects of the research. SDC usually refers to 'output SDC'; ensuring that, for example, a published table or graph does not disclose confidential information about respondents. SDC can also describe protection methods applied to the data: for example, removing names and addresses, limiting extreme values, or swapping problematic observations. This is sometimes referred to as 'input SDC', but is more commonly called anonymization, de-identification, or microdata protection. Textbooks (e.g. ''Statistical Disclosure Control'') typically cover input SDC and tabular data protection (but not other parts ...
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Microdata (statistics)
In the study of survey and census data, microdata is information at the level of individual respondents. For instance, a national census might collect age, home address, educational level, employment status, and many other variables, recorded separately for every person who responds; this is microdata. Advantages Survey/census results are most commonly published as aggregates (e.g. a regional-level employment rate), both for privacy reasons and because of the large quantities of data involved; microdata for one census can easily contain millions of records, each with several dozen data items. However, summarizing results to an aggregate level results in information loss. For instance, if statistics for education and employment are aggregated separately, they cannot be used to explore a relationship between these two variables. Access to microdata allows researchers much more freedom to investigate such interactions and perform detailed analysis. Microdata from censuses is esp ...
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Northern Ireland Statistics And Research Agency
The Northern Ireland Statistics and Research Agency (NISRA, ) is an executive agency within the Department of Finance (Northern Ireland), Department of Finance in Northern Ireland. The organisation is responsible for the collection and publication of statistics related to the economy, population and society of Northern Ireland. It is responsible for conducting the decennial census, with the last Census in Northern Ireland held on 21 March 2021, and incorporates the General Register Office (Northern Ireland), General Register Office (GRO) for Northern Ireland which is responsible for the registration of births, marriages, civil partnerships and deaths. Statistics Advisory Committee In 1988, Statistics Advisory Committee was set up as a non-departmental public body to the Department of Finance (Northern Ireland), Department of Finance to advise on matters relating to the collection and disclosure of statistical information from businesses. Northern Ireland Order 1988. See also ...
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Disclosure
Disclosure may refer to: Arts and media Film and television *'' CBC News: Disclosure'', a television newsmagazine series in Canada * ''Disclosure'' (1994 film), an American erotic thriller film based on the 1994 novel by Michael Crichton * ''Disclosure'' (2020 American film), an American documentary film about Hollywood depiction of transgender people * ''Disclosure'' (2020 Australian film), a 2020 Australian drama film written and directed by Michael Bentham * "Disclosure" (''Doctors''), a 2003 television episode * "Disclosure" ''(Stargate SG-1)'', a 2003 television episode Music *Disclosure (band), a UK-based garage/electronic duo * ''Disclosure'' (The Gathering album), 2012 *"Disclosure!", a song by Jinjer from ''Wallflowers'' (album), 2021 Literature * ''Disclosure'' (novel), 1994 novel written by Michael Crichton Law and finance * Disclosure of evidence or discovery, pre-trial phase in lawsuits where parties to the case obtain evidence *Convention of disclosure, conventio ...
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Data Anonymization
Data anonymization is a type of Sanitization (classified information), information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymity, anonymous. Overview Data anonymization has been defined as a "process by which personal data is altered in such a way that a data subject can no longer be identified directly or indirectly, either by the data controller alone or in collaboration with any other party." Data anonymization may enable the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization. In the context of Medical record, medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the info ...
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Privacy For Research Participants
Privacy for research participants is a concept in research ethics which states that a person in human subject research has a right to privacy when participating in research. Some typical scenarios this would apply to include, or example, a surveyor doing social research conducts an interview with a participant, or a medical researcher in a clinical trial asks for a blood sample from a participant to see if there is a relationship between something which can be measured in blood and a person's health. In both cases, the ideal outcome is that any participant can join the study and neither the researcher nor the study design nor the publication of the study results would ever identify any participant in the study. Thus, the privacy rights of these individuals can be preserved. Privacy for medical research participants is protected by several procedures such as informed consent, compliance with medical privacy laws, and transparency in how patient data is accumulated and analyzed. Peop ...
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OpenSAFELY
OpenSAFELY is a secure analytics platform, interfacing to NHS patient records and enabling statistical analysis of them by medical researchers. The platform was originally a collaboration between DataLab at the University of Oxford, the EHR group at London School of Hygiene & Tropical Medicine, and electronic health record software companies. The platform is now developed by the Bennett Institute for Applied Data Science, part of Oxford University's Nuffield Department of Primary Care Health Sciences. Initially, it has been used to make an analysis of the risk factors associated with deaths from COVID-19 in hospital in the UK. This is significant because the dataset is especially large, covering about 58 million patients. In 2023, the NHS announced that it would expand the use of the OpenSAFELY platform to help drive life-saving advances for other major diseases. The platform interfaces with a secure database of pseudonymized primary care records, and only aggregated resu ...
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Office For National Statistics
The Office for National Statistics (ONS; ) is the executive office of the UK Statistics Authority, a non-ministerial department which reports directly to the Parliament of the United Kingdom, UK Parliament. Overview The ONS is responsible for the collection and publication of statistics related to the economy, population and society of the United Kingdom; responsibility for some areas of statistics in Scotland, Northern Ireland and Wales is devolved to the Devolution in the United Kingdom, devolved governments for those areas. The ONS functions as the executive office of the National Statistician, who is also the UK Statistics Authority's Chief Executive and principal statistical adviser to the UK's National Statistics Institute, and the 'Head Office' of the Government Statistical Service (GSS). Its main office is in Newport near the United Kingdom Intellectual Property Office and Tredegar House, but another significant office is in Titchfield in Hampshire, and a small office ...
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UK Data Service
The UK Data Service is the largest digital repository for quantitative and qualitative social science and humanities research data in the United Kingdom. The organisation is funded by the UK government through the Economic and Social Research Council and is led by the UK Data Archive at the University of Essex, in partnership with other universities. The service is free to data owners and free at the point of use to non-commercial data users. History The organisation developed from the UK Data Archive, established at Essex University in 1967. Its funder, the Economic and Social Research Council (part of UK Research and Innovation) established the UK Data Service in its current form in October 2012. Besides the UK Data Archive, the partners are: * Cathie Marsh Institute for Social Research, University of Manchester * Jisc, a not-for-profit technology supplier * EDINA, University of Edinburgh * Department of Information Studies, University College London * Centre for Advanced S ...
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Luxembourg Income Study
LIS Cross-National Data Center, formerly known as the Luxembourg Income Study (LIS), is a non-profit organization registered in Luxembourg which produces a cross-national database of micro-economic income data for social science research. The project started in 1983 and is headquartered in Luxembourg. The database includes over 300 datasets from about 50 high- and middle-income countries, with some countries represented for over 30 years. Nationally representative household income survey data is commonly, though not exclusively, provided by the participant country's national statistics collection agency (e.g. Statistics Canada; the Australian Bureau of Statistics). These and other agencies make annual financial contributions which support the database production and maintenance. The LIS database contains anonymised demographic, income, labour market, and expenditure information at two different levels of analysis (household and persons). The data have, as far as is practical, been ...
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Anonymization
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. Overview Data anonymization has been defined as a "process by which personal data is altered in such a way that a data subject can no longer be identified directly or indirectly, either by the data controller alone or in collaboration with any other party." Data anonymization may enable the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization. In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full postcode must be removed, ...
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Microdata
Microdata can mean: * Microdata (statistics), a statistical term for individual response data in surveys and censuses * Microdata (HTML), a specification for semantic markup in HTML * Microdata Corporation Microdata Corporation was an American minicomputer company which created the Reality product line featuring the Pick operating system. In its history, Microdata * was taken over by its international distributor CMC Leasings (December 1969), * wh ...
, a California-based computer company {{disambig ...
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Statistics
Statistics (from German language, German: ', "description of a State (polity), state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of statistical survey, surveys and experimental design, experiments. When census data (comprising every member of the target population) cannot be collected, statisticians collect data by developing specific experiment designs and survey sample (statistics), samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample ...
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