Individuals have the right to access their personal data held by private companies. This operation had a significant cost for UK companies. A 2020 survey conducted among privacy experts showed that 41 percent of them assessed the cost of a Data Subject Acccess Request (DSAR) between three and six thousand British pounds.

Individuals have the right to access their personal data held by private companies. This operation can be started by different types of data subjects. A 2020 poll conducted among UK managers showed that 31 percent of the requests came from employees or ex-employees. Another 30 percent of Data Subject Access Requests (DSAR) were submitted by customers.

These are requests for particular government dataset to be made public (and ideally open). The requests are added by anyone, using a form at data.gov.uk and they are listed at https://data.gov.uk/data-request

Only 'public' data requests are included in the data published here. Confidential requests can also be made, e.g. for commercial confidentiality. There is a count of them provided on https://data.gov.uk/data-request which at the time of writing stands at 522 confidential requests out of 1257 dataset requests.

There are two versions of the data:

• v1 - missing a couple of fields. Live data (always up to date).
• v2 - contains all the public fields. Produced nightly. System fields: nid, url, created, updated. Requester fields: title submitted_by data_themes status description suggested_use suggested_use_detail benefits_overview. Government response: publisher dataset_link field_review_notes.

Policy for requests:

• a "data request" is a request for government to publish a dataset that is not yet published on data.gov.uk. Requests associated with specific datasets already on data.gov.uk should instead be made in a comment on the particular dataset page.
• only central government and its agencies are available in these requests. For others organizations, contact them directly and consider making an FOI request.
• your personal data should not be requested with this method - contact the relevant organization directly. each request will be directed to the relevant department by the Cabinet Office team.

(These have been shown on the form since late 2015, and before that the policy varied)

Data requests on file date back to September 2012.

Success.ai’s Company Data Solutions provide businesses with powerful, enterprise-ready B2B company datasets, enabling you to unlock insights on over 28 million verified company profiles. Our solution is ideal for organizations seeking accurate and detailed B2B contact data, whether you’re targeting large enterprises, mid-sized businesses, or small business contact data.

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Our database spans 195 countries and covers 28 million public and private company profiles, with detailed insights into each company’s structure, size, funding history, and key technologies. We provide B2B company data for businesses of all sizes, from small business contact data to large corporations, with extensive coverage in regions such as North America, Europe, Asia-Pacific, and Latin America.

Comprehensive Data Points: Success.ai delivers in-depth information on each company, with over 15 data points, including:

Company Name: Get the full legal name of the company. LinkedIn URL: Direct link to the company's LinkedIn profile. Company Domain: Website URL for more detailed research. Company Description: Overview of the company’s services and products. Company Location: Geographic location down to the city, state, and country. Company Industry: The sector or industry the company operates in. Employee Count: Number of employees to help identify company size. Technologies Used: Insights into key technologies employed by the company, valuable for tech-based outreach. Funding Information: Track total funding and the most recent funding dates for investment opportunities. Maximize Your Sales Potential: With Success.ai’s B2B contact data and company datasets, sales teams can build tailored lists of target accounts, identify decision-makers, and access real-time company intelligence. Our curated datasets ensure you’re always focused on high-value leads—those who are most likely to convert into clients. Whether you’re conducting account-based marketing (ABM), expanding your sales pipeline, or looking to improve your lead generation strategies, Success.ai offers the resources you need to scale your business efficiently.

Tailored for Your Industry: Success.ai serves multiple industries, including technology, healthcare, finance, manufacturing, and more. Our B2B marketing data solutions are particularly valuable for businesses looking to reach professionals in key sectors. You’ll also have access to small business contact data, perfect for reaching new markets or uncovering high-growth startups.

From UK B2B data to contacts across Europe and Asia, our datasets provide global coverage to expand your business reach and identify new...

• Vacancy reference number • Job title • Staff group • Salary • AfC banding • Date published • Date closed • Duration (i.e. permanent/fixed term for X months) • Part time/full time • Vacancy site (i.e. the hospital/site the position was held) Your request was received on 8 February 2024 and I am dealing with it under the terms of the Freedom of Information Act 2000. Response A copy of the information is attached. Search terms The following criteria have been applied when filtering our data: • Organisation names as listed below • AFC Band 6 • Junior Sister roles • Nursing & Midwifery staff group (to cover Nursing roles) • Date Range: 5 January 2023 to date The post code field confirms the location of the vacancy. The information provided is limited to what the recruiting organisation supplies us with. For more detail on each position you may wish to write to each trust directly. A directory of trusts and Clinical Care Groups (CCGs) and Integrated Care Boards (ICBs) (including the ones provided in the data) can be found at the below web link: https://www.nhs.uk/nhs-services/find-your-local-integrated-care-board/ Please note that this request and our response is published on our Freedom of Information disclosure log at: https://opendata.nhsbsa.net/dataset/foi-01732 If you have any queries regarding the data provided, or if you plan on publishing, the data please contact foirequests@nhsbsa.nhs.uk ensuring you quote the above reference. This is important to ensure that the figures are not misunderstood or misrepresented. If you plan on producing a press or broadcast story based upon the data please contact communicationsteam@nhsbsa.nhs.uk. This is important to ensure that the figures are not misunderstood or misrepresented.

Details of contracts, commissioned activity, purchase order and framework agreement with a value that exceeds £5,000.Data has been excluded or redacted from the publication in line with guidance issued by the Local Government Association. This can be redacted personal data, commercial confidentiality or where the data would reveal information which would compromise, security, health & safety or crime prevention.This data is published quarterly and latest update is for September 2024.

This survey shows the rating of how willing consumers are to share various types of information with retailers in order to have a more personalised shopping experience in the UK, by age of consumer. According to the survey conducted in 2013, respondents aged 18 to 33 were least willing to share their phone number collected at point of sale, with a rating of 2.1 out of 5.

This report contains findings from the Adult Social Care Survey 2021-22 (ASCS). The national survey takes place every year and is conducted by Councils with Adult Social Services Responsibilities (CASSRs). The survey seeks the opinions of service users aged 18 and over in receipt of long-term support services funded or managed by social services and is designed to help the adult social care sector understand more about how services are affecting lives to enable choice and for informing service development. Please note: Given the low participation of the 2020-21 ASCS due to it’s voluntary nature, the 2021-22 England level data has been compared against the England average in 2019-20 when reviewing if there are any notable changes.

Abstract copyright UK Data Service and data collection copyright owner.

The General Household Survey (GHS), ran from 1971-2011 (the UKDS holds data from 1972-2011). It was a continuous annual national survey of people living in private households, conducted by the Office for National Statistics (ONS). The main aim of the survey was to collect data on a range of core topics, covering household, family and individual information. This information was used by government departments and other organisations for planning, policy and monitoring purposes, and to present a picture of households, families and people in Great Britain. In 2008, the GHS became a module of the Integrated Household Survey (IHS). In recognition, the survey was renamed the General Lifestyle Survey (GLF). The GLF closed in January 2012. The 2011 GLF is therefore the last in the series. A limited number of questions previously run on the GLF were subsequently included in the Opinions and Lifestyle Survey (OPN).

Secure Access GHS/GLF
The UKDS holds standard access End User Licence (EUL) data for 1972-2006. A Secure Access version is available, covering the years 2000-2011 - see SN 6716 General Lifestyle Survey, 2000-2011: Secure Access.

History
The GHS was conducted annually until 2011, except for breaks in 1997-1998 when the survey was reviewed, and 1999-2000 when the survey was redeveloped. Further information may be found in the ONS document An overview of 40 years of data (General Lifestyle Survey Overview - a report on the 2011 General Lifestyle Survey) (PDF). Details of changes each year may be found in the individual study documentation.

EU-SILC
In 2005, the European Union (EU) made a legal obligation (EU-SILC) for member states to collect additional statistics on income and living conditions. In addition, the EU-SILC data cover poverty and social exclusion. These statistics are used to help plan and monitor European social policy by comparing poverty indicators and changes over time across the EU. The EU-SILC requirement was integrated into the GHS/GLF in 2005. After the closure of the GLF, EU-SILC was collected via the Family Resources Survey (FRS) until the UK left the EU in 2020.

Reformatted GHS data 1973-1982 - Surrey SPSS Files
SPSS files were created by the University of Surrey for all GHS years from 1973 to 1982 inclusive. The early files were restructured and the case changed from the household to the individual with all of the household information duplicated for each individual. The Surrey SPSS files contain all the original variables as well as some extra derived variables (a few variables were omitted from the data files for 1973-76). In 1973 only, the section on leisure was not included in the Surrey SPSS files. This has subsequently been made available, however, and is now held in a separate study, General Household Survey, 1973: Leisure Questions (SN 3982). Records for the original GHS 1973-1982 ASCII files have been removed from the UK Data Archive catalogue, but the data are still preserved and available upon request.

Main Topics:

The main GHS consisted of a household questionnaire, completed by the Household Reference Person (HRP), and an individual questionnaire, completed by all adults aged 16 and over resident in the household. A number of different trailers each year covering extra topics were included in later (post-review) surveys in the series from 2000.

• The household questionnaire covered the following topics: household information, accommodation type, housing tenure/costs, and consumer durables including vehicle ownership.
• The individual questionnaire included data from the household dataset, and additional sections on migration/citizenship/national identity/ethnicity, employment, pensions, education, health, child care, smoking, drinking, family information, financial situation, and income.
  

This statistic illustrates consumers willingness to share personal information in order to receive some form of benefit in the United Kingdom (UK) as of 2015, by type of benefit. It can be seen that 48 percent of respondents stated that they would consider sharing more personal data with their insurer in exchange for lower premiums.

Abstract copyright UK Data Service and data collection copyright owner.

Background

The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

Secure Access QLFS household data
Up to 2015, the LFS household datasets were produced twice a year (April-June and October-December) from the corresponding quarter's individual-level data. From January 2015 onwards, they are now produced each quarter alongside the main QLFS. The household datasets include all the usual variables found in the individual-level datasets, with the exception of those relating to income, and are intended to facilitate the analysis of the economic activity patterns of whole households. It is recommended that the existing individual-level LFS datasets continue to be used for any analysis at individual level, and that the LFS household datasets be used for analysis involving household or family-level data. For some quarters, users should note that all missing values in the data are set to one '-10' category instead of the separate '-8' and '-9' categories. For that period, the ONS introduced a new imputation process for the LFS household datasets and it was necessary to code the missing values into one new combined category ('-10'), to avoid over-complication. From the 2013 household datasets, the standard -8 and -9 missing categories have been reinstated.

Secure Access household datasets for the QLFS are available from 2002 onwards, and include additional, detailed variables not included in the standard 'End User Licence' (EUL) versions. Extra variables that typically can be found in the Secure Access versions but not in the EUL versions relate to: geography; date of birth, including day; education and training; household and family characteristics; employment; unemployment and job hunting; accidents at work and work-related health problems; nationality, national identity and country of birth; occurence of learning difficulty or disability; and benefits.

Prospective users of a Secure Access version of the QLFS will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access version.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of each volume of the User Guide including the appropriate questionnaires for the years concerned. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS User Guidance pages before commencing analysis.

The study documentation presented in the Documentation section includes the most recent documentation for the LFS only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request.

Review of imputation methods...

Under the Code of Recommended Practice for Local Authorities on Data Transparency, councils are encouraged to publish all corporate purchase card transactions. We already publish details of all our relevant expenditure of more than £500 within our Payments to Suppliers page, and will continue to do so. However, in the spirit of the Code, the Council started publishing all purchase card transactions, regardless of value, from the April 2014 card statement. The information will be published monthly. As with our payments to suppliers, we aim to be as transparent as we can, but in some cases we will need to respect information that could be seen as commercially sensitive or where the payment relates to vulnerable young people or adults. In these cases information is withheld as it is personal data. For further information about personal data, please see birmingham.gov.uk/foi. If you require further information about any of the payments, please contact foi.mailbox@birmingham.gov.uk setting out the details of the payment and what additional information you require. Such request will be handled under the Freedom of Information Act 2000, and the Council aims to be able to provide a response to your query within 20 working days

• to provide annual data about the nation’s health;
• to estimate the proportion of people in England with specified health conditions;
• to estimate the prevalence of certain risk factors associated with these conditions;
• to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
• to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
• to monitor progress towards selected health targets
• since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
• since 1995, monitor the prevalence of overweight and obesity in children.

The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

Changes to the HSE from 2015:
Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

COVID-19 and the HSE:
Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

The HSE 2008 provides data at both national and regional level about the population living in private households in England. The sample comprised two components: the core (general population) sample and a boost sample of children. The core sample was designed to be representative of the population living in private households in England. The reports for the 2008 survey may be found on the HSCIC HSE 2008 publications webpage.

For the HSE core sample, all adults aged 16 years or older at each household were selected for the interview (maximum ten adults). However, a maximum of two children aged 0-15 were interviewed per household. For households with three or more children, interviewers selected two children at random. At boost addresses interviewers screened for households containing at least one child aged 2-15 years. For households which included eligible children, up to two were selected by the interviewer for inclusion in the survey. Interviewing was conducted throughout the year to take account of seasonal differences.

New editions and changes over time:

• For the second edition (October 2010), an updated version of the individual-level file was deposited, with amended GHQ12 variables. The code for respondents who did not answer the GHQ12 questions is now set at '-1' rather than '0’.
• For the third edition (July 2011), the GHQ12 variables were further amended to correct errors in the GHQ12 scores. See document 'Note about GHQ12 problems in HSE Data' for details.
• For the fourth edition (August 2013), since publication of the HSE 2008 survey report, four survey participants (one household) have withdrawn their consent and had their records removed from the data. Therefore, the number of cases have now been reduced to 22,619 in the individual file and 31,923 in the household file. Consequently, users may not find it possible to reproduce some figures with the same degree of accuracy presented in the accompanying documentation.

Average prices in 2018 for UK stolen ID, personal data and hacked accounts for sale on darknet markets. It’s ordered by type of credential, in descending order by average sale value.