cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-6694-2
title: Offshoring and Outsourcing Innovation? The New Challenge for Multinationals, 2007-2010
title: Off-shoring and Outsourcing Innovation? The New Challenge for Multinationals, 2007-2010

description: Western multinationals are now increasingly locating their research and development (R and D) activities in the emerging economies of China and India. This offshoring of innovation raises the following questions for policy makers and multinational firms: &lt;br&gt; &lt;br&gt; 1) What is the extent and nature of outsourcing and offshoring innovation, especially to emerging economies like India and China?&lt;br&gt; &lt;br&gt; 2) What are the main drivers of the globalisation of innovation? &lt;br&gt; &lt;br&gt; Answering these questions involved collecting secondary data on the R and D locations of the world’s largest multinationals, namely the Fortune 500 companies (minus financial service firms). The sample covers a wide range of industries, including pharmaceuticals, chemicals, electronics, engineering, and equipment manufacturing. &lt;br&gt; &lt;br&gt; Data were collected in four steps. First, an in-depth search of corporate and subsidiary websites across individual countries was used to objectively identify the location and number of R and D facilities across nations. Second, these data were cross-checked and complemented with searches of the Factiva and Corporate Affiliations databases. Factiva provides news reports from global media, and includes reports of R and D activities. Corporate Affiliations is a repository of information of corporations’ affiliates, subsidiaries, and divisions worldwide. Third, a subset of these data were further cross-checked by matching the locations of R and D centres with the addresses of inventors of patents assigned in the last three years to these firms; the Delphion database and the US Patent and Trade Office website were used for these searches. Fourth, managers of individual firms were contacted to clarify contradictions.&lt;br&gt; &lt;br&gt; Further information is available from the &lt;a href="http://www.esrc.ac.uk/my-esrc/grants/RES-331-27-0010/read" title="Off-shoring and Outsourcing Innovation? The New Challenge for Multinationals"&gt;Off-shoring and Outsourcing Innovation? The New Challenge for Multinationals&lt;a/&gt; ESRC Award web page.&lt;br&gt; &lt;br&gt; These data are under embargo at the request of the depositor until 1 January 2012.&lt;br&gt;
DOI: 10.5255/ukda-sn-6695-1
title: British Social Attitudes Survey, 2009
title: British Social Attitudes Survey, 1983-
title: BSA

description: &lt;p&gt;&lt;strong&gt;Background&lt;/strong&gt;&lt;br&gt;The British Social Attitudes (BSA) survey series began in 1983. The series is designed to produce annual measures of attitudinal movements to complement large-scale government surveys that deal largely with facts and behaviour patterns, and the data on party political attitudes produced by opinion polls. One of the BSA's main purposes is to allow the monitoring of patterns of continuity and change, and the examination of the relative rates at which attitudes, in respect of a range of social issues, change over time. Some questions are asked regularly, others less often. Funding for BSA comes from a number of sources (including government departments, the Economic and Social Research Council and other research foundations), but the final responsibility for the coverage and wording of the annual questionnaires rests with NatCen Social Research (formerly Social and Community Planning Research). The BSA has been conducted every year since 1983, except in 1988 and 1992 when core funding was devoted to the British Election Study (BES).&lt;br&gt;&lt;br&gt;Further information about the series and links to publications may be found on the NatCen Social Research &lt;a title="British Social Attitudes" href="https://natcen.ac.uk/flagship-surveys"&gt;British Social Attitudes&lt;/a&gt; webpage.&lt;/p&gt;
DOI: 10.5255/ukda-sn-6698-1
title: Capital Stock Dataset, 1979-2005: Secure Access

description: The &lt;i&gt;Capital Stock Dataset&lt;/i&gt; is constructed by staff at the Virtual Microdata Laboratory (VML) based at the Office for National Statistics. The data are derived variables from the &lt;i&gt;Annual Respondents Database&lt;/i&gt; (ARD) held under UK Data Archive SN 6644, and the Volume of Index of Capital Services (VICS). Industry investment data and the ARD’s capital expenditure figures are used to create an estimate of capital stock for each business in each year.&lt;br&gt; &lt;br&gt; ***IMPORTANT INFORMATION***&lt;br&gt; Users should take careful note that these data are derived, and are not responses from surveys. Caution should be exercised when using these data for analysis. Users are advised to read the available documentation before deciding whether to use the file as it stands or to adjust it using the options outlined in the documentation.&lt;br&gt; ********************************&lt;br&gt; &lt;br&gt; The capital stock estimates are calculated using the Perpetual Inventory Method. Separate depreciation rates are used for different asset types (plant and machinery, vehicles, and buildings, etc), industrial sectors and years. Capital stock is reported for each asset type and as an aggregate across all asset types. All years and industrial sectors are aggregated into one file. &lt;br&gt; &lt;br&gt; The dataset can be tailored by the user for their own purposes using the Stata syntax (.do) files that created the dataset. The ONS has designed the syntax to be very flexible so that users can easily create their own capital stock estimates by selecting from a range of key variables and methods.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br/&gt;
DOI: 10.5255/ukda-sn-6699-9
title: UK Innovation Survey, 1994-2023: Secure Access
title: Community Innovation Survey; UKIS; CIS

description: The &lt;i&gt;UK Innovation Survey&lt;/i&gt; (UKIS) provides the main source of information on business innovation in the UK. The survey data is a major resource for research into the nature and functioning of the innovation system and for policy formation. It is used widely across government, regions and by the research community. The UKIS also represents the UK's contribution to the Europe-wide &lt;i&gt;Community Innovation Survey&lt;/i&gt; (CIS). Like many innovation surveys across Europe, the UKIS follows general guidelines set out in the Organisation for Economic Co-operation and Development (OECD) publication known as the Oslo Manual (OECD 2005). This manual provides guidelines on the conduct of innovation surveys, including statistical procedures and a review of the range of concepts that fall together under the umbrella term "innovation".&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Geographical references: postcodes&lt;/i&gt;&lt;br&gt;
The postcodes included in the first edition of these data (i.e. data files prior to 2008-2010) are pseudo-anonymised postcodes. The real postcodes were not available due to the potential risk of identification of the observations. However, these replacement postcodes retain the inherent nested characteristics of real postcodes. In the dataset, the variable of the replacement postcode is 'new_PC'.&lt;br&gt;
&lt;br&gt;
The first two editions only include the first half of an observation's anonymised (or real) postcode (sometimes referred to as the outward code). Researchers who are interested in analysing data by more disaggregated geographies (e.g. ward, output area) are advised that this is not possible using the first half of the postcode. Full, real postcodes are available from the third edition onwards, with the exception of .UKIS12, for which only the first half of the postcodes (outward codes) are available.&lt;br&gt;&lt;br&gt;For Secure Lab projects applying for access to this study as well as to SN 6697 &lt;span style="font-style: italic;"&gt;Business Structure Database&lt;/span&gt; and/or SN 7683 &lt;span style="font-style: italic;"&gt;Business Structure Database Longitudinal&lt;/span&gt;, only postcode-free versions of the data will be made available.&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;
These data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;
&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the ninth edition (September 2024) data and documentation for UKIS 2023 (also known as UKIS 13), covering the period 2020 to 2022, were added to the study.&lt;br&gt;
&lt;br&gt;
DOI: 10.5255/ukda-sn-6701-3
title: Investment in Intangible Assets Survey, 2009-2010: Secure Access
title: Survey of Investment in Intangible Assets; Survey of Business Expenditure on Intangible Assets; IIA Survey

description: The &lt;i&gt;UK Investment in Intangible Assets Survey&lt;/i&gt; (IIA Survey) was launched in 2009 and explores the level of spending and life lengths of private sector investments in intangible assets. The survey was discontinued following the 2010 survey.&lt;br&gt; &lt;br&gt; The survey is distinctive from other surveys measuring intangible assets, such as the &lt;i&gt;UK Innovation Survey&lt;/i&gt; (UK Data Archive SN 6699), in terms of three main features. First, the survey covers expenditure on a wider range of intangibles, including training, software, branding, design and business process. Second, the survey asks firms about both purchased and in-house expenditure. Third, in order to estimate depreciation rates, the survey also asks about the length of time firms expect to benefit from spending on intangibles.&lt;br&gt; &lt;br&gt; Firms with ten or more employees across the production and service sectors were drawn from the Inter-Departmental Business Register. The sample frame is broadly consistent with that of the &lt;i&gt;UK Innovation Survey&lt;/i&gt;, but the sample size is considerably smaller.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt; &lt;br&gt; The third edition (May 2016) includes enhanced data files and documentation for 2009 and 2010.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-6702-43
title: Monthly Wages and Salaries Survey, 2000-2025: Secure Access
title: MWSS

description: &lt;p&gt;The &lt;i&gt;Monthly Wages and Salaries Survey&lt;/i&gt; (MWSS) is the main source of information for three key indicators of Short-Term Earnings generated by the Office for National Statistics: the Average Earnings Index, the Average Weekly Earnings and the Index of Labour Costs per Hour.&lt;br&gt;
&lt;br&gt;The MWSS is distributed monthly to approximately 8,800 businesses and covers around 12.8 million employees. Companies are required to respond under the Statistics of Trade Act 1947. Businesses are selected from the Inter-Departmental Business Register. Every company with more than 1,000 employees is surveyed. Sampling is random for businesses with fewer than 1,000 employees. The MWSS does not cover businesses with fewer than 20 employees, and so the very smallest businesses in the economy are not represented. The self-employed and government-supported trainees are also not surveyed.&lt;br&gt;
&lt;br&gt;The major strength of the MWSS is that it provides comprehensive information on earnings, by industry. In terms of industrial coverage, information on all industries is collected, as defined by the Standard Industrial Classifications (1992). Information on both the public and private sectors is available.&lt;br&gt;
&lt;br&gt;
&lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt;&lt;br&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;br&gt;&lt;/span&gt;For the forty-third edition (September 2025), four monthly data files for November to December 2024, and February to March 2025 have been added to the study.&lt;/p&gt;
DOI: 10.5255/ukda-sn-6703-1
title: Welsh Health Survey, 2009: Teaching Dataset (Adults)
title: Welsh Health Survey, 1998-2015
title: WHS

description: The &lt;i&gt;Welsh Health Survey&lt;/i&gt; (WHS) collects information about the health of people living in Wales, including health status, lifestyle and health behaviours, and use of health services. This dataset covers the sixth year of the current WHS, which ran for 12 months from January 2009. This teaching dataset provides a simplified introductory to the WHS and contains a selection of key variables for adults. With fewer variables than the main WHS dataset, it is easier to use and may be particularly helpful for new users.&lt;br&gt;
&lt;br&gt;
WHS in its current form began in 2003. The survey is funded by the Welsh Assembly Government (WAG) and is carried out by the National Centre for Social Research (NatCen). Each year, data is collected from a representative sample of around 15,000 adults and 3,000 children in Wales, using a short household interview and individual self-completion questionnaires completed by all adults and up to two children in each household. &lt;br&gt;
&lt;br&gt;
The content of the adult questionnaire has remained fairly stable since 2003, covering:&lt;ul&gt;&lt;li&gt;health status, including general health and wellbeing, illness, eyesight and hearing&lt;/li&gt;&lt;li&gt;health-related behaviours such as smoking, drinking, fruit and vegetable consumption, Body Mass Index and physical activity&lt;/li&gt;&lt;li&gt;health services including GP, hospital visits and use of other services like dentists, opticians and NHS Direct&lt;/li&gt;&lt;/ul&gt;&lt;i&gt;Welsh Health Survey, 2009: Teaching Dataset (Adults)&lt;/i&gt; is a simplified introductory dataset which covers adults only. The main WHS 2009 adult dataset (available from the UK Data Archive under SN 6589) contains over 400 variables. This teaching dataset is a slimmed down version containing 54 key variables. This makes it easier to use, particularly for new or occasional users. All adult respondents are included in the dataset, and so any results produced from it should match those derived from the more detailed dataset and those shown in the WHS annual report.&lt;br&gt;
DOI: 10.15468/dl.pfjrut
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcippe morrisonia",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031218-250920141307145/datasets/export for details.
DOI: 10.5255/ukda-sn-6706-7
title: New Earnings Survey Panel Dataset, 1975-2016: Secure Access
title: NESPD

description: The &lt;i&gt;New Annual Survey Panel Dataset&lt;/i&gt; (NESPD) contains the &lt;i&gt;New Earnings Survey&lt;/i&gt; (NES) data (UK Data Archive SN 6704) in panel form. The NES is sampled on individuals whose National Insurance numbers end in a given pair of digits. Since the same pair of terminating digits are used as the basis for each year's sample, a panel is automatically generated within the surveys.&lt;br&gt; &lt;br&gt; The NES is an annual survey of the earnings of employees in Great Britain. Its primary purpose is to obtain information about the levels, distribution and make-up of earnings, and for the collective agreements that cover them. It is designed to represent all categories of employees in businesses of all kinds and sizes. The questionnaire is directed to the employer, who completes it on the basis of payroll records for the employee. The earnings, hours of work and other information relate to a specified week in April of each year. The NESPD is a reduced form of the NES as it is based on a consistent variable sample.&lt;br&gt; &lt;br&gt; Please see the catalogue record for UK Data Archive SN 6704 for a fuller description of the NES.&lt;br&gt; &lt;br&gt; For the seventh edition (July 2017), data for 2016 have been added to the study.
DOI: 10.5255/ukda-sn-6708-3
title: Quarterly Capital Expenditure Survey, 1998-2014: Secure Access
title: Quarterly Capital Expenditure Inquiry; QCES; QCEI; Capex

description: The Office for National Statistics (ONS) conducts a quarterly survey to collect capital expenditure data for various industry groups by asset. It is a statutory survey with a stratified random sample of approximately 26,000 to 32,000 businesses selected from the Inter-Departmental Business Register, where the strata are defined by Standard Industrial Classification (SIC) 2003 (SIC 2007 from Q1 2010) and employment size of the business.&lt;br&gt; &lt;br&gt; The net capital expenditure (acquisitions less disposals) is calculated and is grossed to give estimates for the total population for the industry groups. The estimates are deflated and then chain-linked. Following deflation, chained volume measures and current price series are seasonally adjusted.&lt;br&gt; &lt;br&gt; Results from the survey provide essential information for the National Accounts and feed into the compilation of gross capital formation.&lt;br&gt; &lt;br&gt; &lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt; These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;br&gt; &lt;br&gt; &lt;i&gt;Move to Quarterly Acquisitions and Disposals of Capital Assets Survey&lt;/i&gt;&lt;br&gt; From quarter 1 2015, the &lt;i&gt;Quarterly Capital Expenditure Survey&lt;/i&gt; moved to a more detailed survey called the &lt;i&gt;Quarterly Acquisitions and Disposals of Capital Assets Survey (QCAS)&lt;/i&gt;. Data and documentation from this new survey will be available from the UK Data Archive Secure Access service under SN 7882. &lt;br&gt; &lt;br&gt; For the third edition (February 2016), all data and documentation has been updated and enhanced. In addition, data files for 2013q2 to 2014q4 have been added.&lt;br&gt; &lt;br&gt;
DOI: 10.5255/ukda-sn-6710-1
title: London and the Tidal Thames, 1250-1550: Marine Flooding, Embankment and Economic Change

description: The project investigated changes in the human and natural environments of the marshlands bordering the tidal river Thames and the Thames Estuary between 1250 and 1550. At the beginning of this period the marshlands had largely been drained and protected by banks or walls, so that they could be used for arable and pastoral farming. During the three centuries studied, however, many of these reclaimed marshes were flooded by the sea or by freshwater inundation. The causes were partly natural and partly human. Major flooding events may have become more common, and clusters of North Sea storm surges occurred, in which winds and tides combined to thrust large quantities of sea-water into the Thames Estuary, overwhelming flood defences. At the same time, declining population after c.1300, and associated agricultural recession, meant that it was no longer so profitable to defend the marshes against the sea. As a result, especially after the 1370s, many marshes flooded, and attempts to recover them were given up. Among the areas most affected were parts of the Barking, East Ham and Dagenham marshes, the Isle of Dogs, Erith and Lesnes marshes and the marshes around the mouth of the river Medway. In these and other locations fishing, fowling and the cutting of reeds and rushes replaced farming as the main sources of employment and income. Londoners complained about some of the effects of flooding, but may have benefited from the ‘retreat’ from the down-river marshes, which reduced the flood risk to Southwark, Bermondsey and other vulnerable suburbs.
DOI: 10.5255/ukda-sn-6711-14
title: International Trade in Services, 1996-2022: Secure Access
title: Annual Survey of International Trade in Services; Overseas Trade in Services Inquiry; ITIS; OTIS

description: &lt;p&gt;The UK's &lt;i&gt;International Trade in Services&lt;/i&gt; (ITIS) data are collected from a number of different survey and administrative sources. The ITIS inquiry (formally called the &lt;i&gt;Overseas Trade in Services Inquiry&lt;/i&gt;) was forged as a result of the merging of the &lt;i&gt;Annual and Quarterly Inquiries into Royalties and Services&lt;/i&gt; (RASI) and the &lt;i&gt;Annual and Quarterly Inquiries of Overseas Trade of Consultants&lt;/i&gt; (CONS) in 1996. &lt;/p&gt;&lt;p&gt;The ITIS survey collects data on UK resident companies’ international transactions in services, and includes the type and value of service imports/exports and the country of origin/destination of the services. (Note: companies are not required to identify the country for transactions less than £10,000.)&lt;/p&gt;&lt;p&gt;The ITIS survey is also supplemented by information collected via the &lt;span style="font-style: italic;"&gt;Annual Business Survey&lt;/span&gt; (ABS) (UK Data Archive SN 7451) in relation to amounts paid or received for the imports or exports of services.&lt;/p&gt;&lt;p&gt;ITIS covers the whole economy, with the exception of: finance, travel and transport, higher education, charities, and most activities in the legal profession, which are collected from other sources. For the 2021 collection onwards, the ITIS sample has been expanded to include new industries, notably in the financial sector and higher education. For the 2022 collection onwards, the ITIS sample has also been expanded to cover transport and travel industries.&lt;/p&gt;&lt;p&gt;The results contribute to the key components of the measurement of the UK’s Balance of Payments and of Gross Domestic Product. In addition, the results are used in the industrial and non-industrial services breakdown within the current price Input-Output Supply and Use Tables. For further information, the latest &lt;a href="https://www.ons.gov.uk/businessindustryandtrade/internationaltrade/bulletins/internationaltradeinservices/previousReleases" target="_blank"&gt;ITIS UK Statistical Bulletins&lt;/a&gt; are available from the Office for National Statistics web site.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;i&gt;Linking to other business studies&lt;/i&gt;&lt;br&gt;These data contain Inter-Departmental Business Register reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;span style="font-style: italic;"&gt;Latest edition information&lt;/span&gt;&lt;br&gt;For the thirteenth edition (May 2025), the two separate 2021 imports and exports data files have been replaced by a single combined imports-exports 2021 data file. A combined 2022 data file has also been added to the study. In addition, the documentation has been updated.&lt;/p&gt;