• Digital Humanities and Cultural Heritage
• Research softwareclose
• Other research productsclose
• English close
• Social Science and Humanities close

The National Museum of Australia provides access to its collection data through an API. As well as collection items, data is available for parties, places, media, and more. The notebooks in this repository give examples of harvesting, analysing, and visualising data from the NMA collection.

Abstract copyright UK Data Service and data collection copyright owner.In 2000, the Government launched the Work-Life Balance Campaign, targeting employers to promote the benefits of flexible working for all employees. Although this campaign was not specifically aimed at parents or carers, the legislation restricted rights to apply for changes in the hours, timing or place of work to those employees with caring responsibilities. The then Department for Education and Employment (later the Department for Business, Enterprise and Regulatory Reform (BERR) and now the Department for Business, Innovation and Skills (BIS)) carried out the first Work-Life Balance Survey (WLB1) in 2000 (held at the UK Data Archive under SN 4465). It was used to assess how far employers operated work-life balance practices and whether employees felt that existing practices met their needs. The first survey was followed up in 2003 by a second survey, a two-part survey of employees and employers (WLB2) (held under SNs 5079 and 5080) and by a third wave in 2006 and 2007 (WLB3) (held under SNs 7028 and 5787). The fourth employee survey was carried out in 2011 (held under SN 7112) and the fourth employers survey was completed in 2013 (held under SN 7775). The aims of the second Work-Life Balance Study were two-fold: firstly, to monitor change since the 2000 Work-Life Balance baseline study (held under SN 4465) by collecting data on (a) employer provision of work-life balance practices and policies, (b) employee take-up of, and demand for, these initiatives, and (c) the impact of employers’ provisions (including costs and benefits); secondly, to establish a robust baseline for future evaluation of the provisions brought in under the Employment Act 2002. The findings of the research will be used to track changes since the first study and assess the impact of new legislation governing leave entitlements and employers’ flexible working practices on different cross-sections of the population. The employees' survey objectives included: assessing employees’ awareness of the current statutory leave entitlements, including maternity leave, parental leave, and time off for dependents, as well as forthcoming new rights; assessing take-up of work-life balance practices including reasons for non take-up (e.g. impact on job security and promotion); ascertaining the demand for work-life balance practices; establishing the extent to which work-life balance practices meet employee needs, including views on the feasibility of employers extending these arrangements; and ascertaining employees’ views on the impact of work-life balance practices. The Employers' Survey is held under SN 5080. Main Topics: The dataset contains the responses of employees to questions which were based on meeting the aims of the research, covering the following topics: demographics details of individuals' employment hours of work work-life balance practices and policies maternity leave arrangements paternity leave arrangements emergency time off for dependants parental leave arrangements annual leave arrangements childcare arrangements Quota sample Telephone interview

Abstract copyright UK Data Service and data collection copyright owner. The project aimed to reconstruct the lives of paupers using the unusually rich poor law records for St. Martin-in-the-Fields, Westminster across the long-eighteenth century. The main objectives were: 1. To discover and analyse the characteristics of recipients of both indoor and outdoor relief with a view to understanding their total life situation, the frequency with which they received relief, and the duration of that relief. 2. To analyse the changing experience of children and old people within the welfare system. 3. Wherever possible, to uncover the familial and life-cycle circumstances of the pauper population, and how alterations in these circumstances were related to poor law payments and interactions with the institutions of relief. 4. To produce some basic statistical measures of poor relief including long-run patterns of expenditure on the poor. 5. To compare material derived from the pauper biographies of Westminster with those from other settlements and parishes, both in the capital and elsewhere. Main Topics: Five Access databases and one spreadsheet derived from the poor law records of St. Martin-in-the-Fields, Westminster, covering the period 1724-1824 relating to the life histories of c. 56,000 paupers in the parish. These record a variety of measures of poor relief, including all admissions and discharges to the large parish workhouse, outdoor pensions paid to various categories of paupers, many instances of outdoor relief (in cash and kind), and over 12,000 settlement examinations, providing rich and diverse biographical details of paupers who had a right of settlement in St. Martins. No sampling (total universe) Transcription of existing materials Compilation or synthesis of existing material

he present issue of the Working Papers series of the Dipartimento di Economia Politica at Milano- Bicocca reproduces the contributions presented at the mid-year ESHET Conference which took place at the Universities of Pavia and Milano-Bicocca on 16 and 17 November 2001. The program was arranged jointly by Gianni Vaggi and Pier Luigi Porta and the Conference was jointly organised by ESHET with the Department of Political Economy and Quantitative Methods of the University of Pavia and the Department of Political Economy of the University of Milano-Bicocca. The idea around which the Conference was built referred basically to Luigi Pasinetti’s conception of structural change and structural dynamics in a history-of-thought perspective. Luigi Pasinetti, Eshet’s first President, opened the Conference at the University of Pavia. The program included two sessions taking half a day each: the opening session was in Pavia on 16 November 2001 and the final session in Milan the 17 November. Luigi Pasinetti chaired the session held at the University of Pavia and Andrew Skinner was the chairman in Milan.

Of all the great American songwriters of the golden age of popular song Cole Porter was the most cosmopolitan. He owned a stylish apartment in Paris, partied with high society on the French Riviera and in grand Venetian palazzi, moved between Broadway and Hollywood and travelled widely, even visiting Cape Town on one of his many cruises. This audio lecture will be of interest to those who wish to know more about Cole Porter's life and music.

This paper describes the history and development of tafsir in Southeast Asia, namely Indonesia, Malaysia, Brunei Darusalam, Singapore and Thailand, aimed at providing a new discourse to the academic world, that Islam has another treasure in Far Asia, which is known as a pluralistic country because Islam entered in those countries without any wars. And to provide information related the books, author influence, and method of their tafsir in general.

The exam from HIST295 (History) in December 2013

Artikelen naar aanleiding van een conferentie omtrent de overgang van Midden naar Jong Paleolithicum in Europa.

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe 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 Annual Population Survey, also held at the UK Data Archive, is derived from the LFS. The LFS was first conducted biennially from 1973, then 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 available). Further information on the background to the QLFS may be found in the documentation.LFS DocumentationThe documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis.This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.New reweighting policyFollowing 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.Additional data derived from the QLFSThe Archive also holds further QLFS series: Secure Access datasets (see below); household datasets; two-quarter and five-quarter longitudinal datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.End User Licence and Secure Access QLFS dataUsers should note that there are two discrete versions of the QLFS. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes country and Government Office Region geography, 3-digit Standard Occupational Classification (SOC) and 3-digit industry group for main, second and last job (from July-September 2015, 4-digit industry class is available for main job only).The Secure Access version contains more detailed variables relating to: age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family nationality and country of origin finer detail geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district, and other categories; health: including main health problem, and current and past health problems education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from occupation: including 5-digit industry subclass and 4-digit SOC for main, second and last job and job made redundant from system variables: including week number when interview took place and number of households at address other additional detailed variables may also be included. The Secure Access datasets (SNs 6727 and 7674) have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.Changes to Country of Birth and Nationality variables, 2017:Following a disclosure review in 2016 by the ONS Data Access Team, changes have been made to the LFS Country of Birth and Nationality variables from the July-September 2017 quarter. Four new variables have been created and four variables removed. The new groupings are consistent with those published by the Migration Statistics Unit and so should facilitate users to carry out required analysis of Country of Birth and Nationality. The variables added are: CRYOX7_EUL_Main, CRYOX7_EUL_Sub, NATOX7_EUL_Main and NATOX7_EUL_Sub. The variables removed are: CRYO7, CRYOX7, NATO7 and NATOX7.Variables DISEA and LNGLSTDataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018. An ONS Methodology section article on Analysis of the discontinuity in the Labour Force Survey disability data: April to June 2017 to July to September 2017 has also been published. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk ONS methodology reports on the Labour Force Survey, published 2019: A report on progress to assess potential bias in the LFS through a comparison against alternative data sources including proxy labour measures from administrative data: Exploring the use of external data to assess for observed bias in Labour Force Survey estimates: interim findings An update on Progress against the Labour Force Survey National Statistics Quality Review recommendationsLFS response to COVID-19Since April 2020, additional non-calendar quarter LFS microdata have been delivered to Government Departments and the wider research community through the ONS Secure Research Service and UK Data Service. The first additional microdata to be released covered the period February to April 2020, to coincide with Labour Market Statistical Bulletin publication on 16 June. Further guidance was also provided with the release of the February to April 2020 microdata. Please consult the documentation for full details. Users should note that within the additional COVID-19 quarters, the pseudonymised variables Casenop and Hserialp may contain a significant number of missing cases (set as -9). These variables are only produced once a quarter by ONS, and so are not available in full for the additional COVID-19 datasets until the next standard calendar quarter is produced. It is intended that the Casenop and Hserialp variables in the COVID-19 datasets will be updated at the release of the next standard calendar quarter, when the values for the missing cases will become available. Users should also note that the Income Weight variable, PIWT, is not available in the non-standard quarters, although the Person Weight (PWT) is included.Weighting methodology information, May 2021 Following advice from ONS Labour Market Division regarding concerns over the estimates for Ethnicity, COB, Nationality and Disability from the LFS and APS, users are advised that levels and changes in levels should be used with caution. Rates published from the LFS and APS remain robust. This will particularly affect estimates for country of birth, nationality, ethnicity and disability, so any analysis using levels for these topics should be suppressed.LFS and APS responses are weighted to official 2018-based population projections on demographic trends that pre-date the coronavirus pandemic. In the Labour Market Division's Coronavirus and the impact on payroll employment article, analysis of the population totals currently used in the LFS weighting process is explained, and the intention to continue to make adjustments when appropriate.The document Labour Force Survey weighting methodology details the reweighting methodology and includes release dates for reweighted estimates.Occupation data for 2021 and 2022 data files The ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys.2022 weightingThe population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust. The Special Licence Access version of the QLFS January - March, 2008 is held under SN 6090. For the sixth edition (March 2015), previously unavailable variables LERND and LERNDB were added to the data. Main Topics:The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter.The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health covered mainly problems which affected the respondent's work. From that quarter onwards, the questions cover all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire. Face-to-face interview Telephone interview

Abstract copyright UK Data Service and data collection copyright owner.BackgroundThe 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.Household datasetsUp 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. From January 2011, a pseudonymised household identifier variable (HSERIALP) is also included in the main quarterly LFS dataset instead.Change to coding of missing values for household seriesFrom 1996-2013, all missing values in the household datasets were 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. This was also in line with the Annual Population Survey household series of the time. The change was applied to the back series during 2010 to ensure continuity for analytical purposes. From 2013 onwards, the -8 and -9 categories have been reinstated.LFS DocumentationThe documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each volume alongside the appropriate questionnaire for the year concerned. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS User Guidance page before commencing analysis.Additional data derived from the QLFSThe Archive also holds further QLFS series: End User Licence (EUL) quarterly datasets; Secure Access datasets (see below); two-quarter and five-quarter longitudinal datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.End User Licence and Secure Access QLFS Household datasetsUsers should note that there are two discrete versions of the QLFS household datasets. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. Secure Access household datasets for the QLFS are available from 2009 onwards, and include additional, detailed variables not included in the standard 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; occurrence of learning difficulty or disability; and benefits. For full details of variables included, see data dictionary documentation. The Secure Access version (see SN 7674) has more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements.Changes to variables in QLFS Household EUL datasetsIn order to further protect respondent confidentiality, ONS have made some changes to variables available in the EUL datasets. From July-September 2015 onwards, 4-digit industry class is available for main job only, meaning that 3-digit industry group is the most detailed level available for second and last job.Review of imputation methods for LFS Household data - changes to missing valuesA review of the imputation methods used in LFS Household and Family analysis resulted in a change from the January-March 2015 quarter onwards. It was no longer considered appropriate to impute any personal characteristic variables (e.g. religion, ethnicity, country of birth, nationality, national identity, etc.) using the LFS donor imputation method. This method is primarily focused to ensure the 'economic status' of all individuals within a household is known, allowing analysis of the combined economic status of households. This means that from 2015 larger amounts of missing values ('-8'/-9') will be present in the data for these personal characteristic variables than before. Therefore if users need to carry out any time series analysis of households/families which also includes personal characteristic variables covering this time period, then it is advised to filter off 'ioutcome=3' cases from all periods to remove this inconsistent treatment of non-responders. Occupation data for 2021 and 2022 data filesThe ONS have identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. For further information on this issue, please see: https://www.ons.gov.uk/news/statementsandletters/occupationaldatainonssurveys. Main Topics:The LFS household datasets cover:characteristics of the household: number of people of working age; number of people over working age; number of children aged 0 to 4; number of children aged 5 to 15; number of dependent children (i.e. those in full-time education) aged 16 to 18economic activity in the household: number of people in employment; number of people in full-time employment; number of people in part-time employment; unemployed; economically inactive; students; sick or disabled; economically inactive but would like to work and are not seeking work because they do not believe there is work available ('discouraged workers'); care of dependants Compilation/Synthesis