5 datasets found
  1. Z

    Short and long term impacts of Covid-19 on Older childreN's healTh-Related...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Dec 1, 2023
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    Short and long term impacts of Covid-19 on Older childreN's healTh-Related behAviours, learning and wellbeing STudy (CONTRAST) dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10245892
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    Dataset updated
    Dec 1, 2023
    Dataset provided by
    Murphy, Marie
    Frew, Emma
    Pallan, Miranda
    Pokhilenko, Irina
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The CONTRAST study explored how the Covid-19 (lockdown) restrictions affected lives of older children in the UK, particularly how they have influenced learning, eating, physical and other activities and wellbeing.

  2. c

    Work After Lockdown, 2020-2021

    • datacatalogue.cessda.eu
    Updated Mar 15, 2025
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    Parry, J; Beigi, M; Veliziotis, M; Baruch, Y; Young, Z; Bevan, S (2025). Work After Lockdown, 2020-2021 [Dataset]. http://doi.org/10.5255/UKDA-SN-855792
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    Half the Sky
    University of Southampton
    Institute for Employment Studies
    Authors
    Parry, J; Beigi, M; Veliziotis, M; Baruch, Y; Young, Z; Bevan, S
    Time period covered
    Jul 6, 2020 - Dec 31, 2021
    Area covered
    United Kingdom
    Variables measured
    Individual, Organization
    Measurement technique
    This was a mixed method project, which has focused on 2 sectors where national datasets indicated there is high capacity for working from home: Professional, Scientific and Technical (PST) and Public Administration and Defence (PAD). Together these sectors represent 1 in 7 of all UK jobs. Distinctive components of the research were designed iteratively in relation to one another.(1) Qualitative interviews: 4 organisations were selected to take part in the research: 2 law firms and 2 local authorities. These covered a range of geographical experiences across the UK. In each organisation, around 10 one-to-one qualitative interviews were convened, purposefully sampled, to include a range of (i) leaders (ii) line mangers and (iii) employees without management responsibility. Longitudinal interviews were conducted with participants over the course of 18 months.(2) Employee surveys:A number of employee well-being surveys were conducted over the course of the research: (i) to local authorities and law firms (industries mapping onto the case studies, but a broader range); (ii) a longitudinal follow-up with local authority employees; (iii) a cross-sectional survey with employees from PST and PAD sectors. Sampling for these surveys was achieved via distributing through social media and through our contacts in a range of professional organisations, employers and trade unions.
    Description

    This dataset consists of primary data from a mixed method longitudinal project: (1) Qualitative data: interviews in 4 case study organisations across three waves. Some transcripts are retracted where interviewees have not provided their permission for anonymised archiving.

    In wave 1, a combination of leaders, managers and employees without line management responsibiliy are interviewed in each of the 4 organisations.

    In wave 2, leaders are interviewed in each of the 4 case study organisations.

    In wave 3, a combination of leaders, managers and employees without line management responsibiliy are interviewed in each of the 4 organisations. Some new interviews are conducted with people have joined organisations over the course of the pandemic.

    (2) Quantitative data: employee surveys across PST and PAD sectors

    We conducted two surveys in Wave One. The first went to subjects working in Local Government and the second to subjects working in the legal profession. At the end of each questionnaire respondents were asked to indicate their willingness to participate in a follow-up (Wave Two) survey to capture data on their views, circumstances and preferences several months later. Over 300 respondents from the Local Government population indicated that they would be willing to complete a Wave Two questionnaire, but the overall response from the Wave One survey of subjects working in the legal profession was poor and only a very few from this already small group opted into the Wave Two survey. As a result, the team decided to: • Conduct a Wave Two follow up survey, as planned, among Local Authority respondents; • Discontinue plans for follow up survey among respondents working in the legal profession; • Conduct a second, cross-sectional, survey using the same questionnaire as the Wave Two survey targeted at respondents in both public administration and professional services roles. This represented a pragmatic compromise and that it has meant that our Wave One and Wave Two survey data from local government employees was the only explicitly longitudinal element to our survey work, but it enabled us to conduct useful cross-sectional analysis and to make meaningful comparisons between occupational and demographic subgroups.

    This research is designed to support economic recovery from the COVID-19 crisis, providing timely, actionable insight and recommendations about Working from Home (WfH), and the implications of crisis-driven adaptations for longer-term organisational practice and policy. This project engages with three research questions: (1) how the pandemic has influenced different sectors in the UK; (2) the longer-term implications of WfH; and (3) which new behaviours and working practices will remain and which should be encouraged?

    A mixed-methods approach is used, consisting of online surveys, organisational case studies, and secondary analysis of national datasets. The research explores both employer actions, practices and strategic decision-making, and employee experiences and outcomes of WfH during lockdown and its aftermath. Focusing on Professional Services and Public Administration, the longitudinal perspective contours and contextualises the recovery process in these sectors, selected for their contrasting business models, frontline pandemic responses, and levels of WfH prior to the crisis-driven mass migration of white-collar workers into roles performed entirely from home.

  3. d

    Assessing Financial Vulnerability and Risk in the UK’s Charities During and...

    • b2find.dkrz.de
    Updated Oct 31, 2023
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    (2023). Assessing Financial Vulnerability and Risk in the UK’s Charities During and Beyond the Covid Crisis, 2020-2022 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/a5a0d122-0742-5dcd-94f4-c8d3882a64db
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    Dataset updated
    Oct 31, 2023
    Area covered
    United Kingdom
    Description

    We advise that users familiarise themselves with the reporting requirements of the regulators on whose data we have drawn for this work. Some variables are easily understood (headline income and expenditure figures, or dates of registration and dissolution); others less so (e.g. familiarity with definitions of the components of income which charities are required to report would be desirable for work on the exposure of charities to specific income sources). We carried out work on various aspects of the financial vulnerability of charities and charitable companies, as follows: 1. patterns of registration and dissolution, as measured by the dates on which these events are recorded by the regulators. 2. the extent to which organisations held reserves prior to the onset of Covid-19. We used measures of "unrestricted reserves" which are usually provided only for larger organisations and expressed these as a proportion of the organisation's annual expenditures; 3. financial vulnerability, expressed in various ways - substantial (over 25%) fluctuations in incomes, or fluctuations in the excess of expenditure over income; 4. exposure of organisations to particular income streams. We define these in "VariableDescriptions_covid19_project.doc", attached to this deposit. Note that for time series analyses, the Charity Commission website data on the incomes and expenditures of charities only contains data for relatively recent time periods; a longer time series providing charity financials from the late 1990s to 2012 is available in the Third Sector Research Centre data collection at https://reshare.ukdataservice.ac.uk/850933/ and we recommend this is linked to the current data from the Charity Commission. Financial histories are not available for as long a time period for Scottish charities since the regulator was not established until 2006. Other data of relevance to work on this project would be a publicly-available classification of charities at https://charityclassification.org.uk/ Charitable organisations largely fall into a small number of sections of the Standard Industrial Classification and as a result scholars have developed more granular schemas. the data at the above website are publicly-available and can be linked via charity ID numbers. Project papers describing the work in more detail are available at https://www.birmingham.ac.uk/research/tsrc/research/assessing-financial-vulnerability-and-risk-in-the-uks-charities-during-and-beyond-the-covid-19-crisis.aspxThere are significant public concerns about the impact of the economic consequences of COVID-19 for UK voluntary organisations. The lockdown has caused the cessation of income generation activities involving face-to-face contacts; it will be followed by longer-term impacts depending on the scale and duration of the post-crisis recession. The impact will be highly differentiated, between organisations of different missions and size, and between communities. Central and national government, funders, voluntary organisation infrastructure bodies, and organisations themselves require analysis of these impacts if they are to make informed decisions. The immediate needs are for understandings of: 1. exactly what sorts of funding streams are at risk, and how the reduction or cessation of that funding has differentiated impacts 2. the extent to which the economic impacts of COVID-19 will differ in magnitude and character from previous shocks to voluntary sector income (there is a baseline degree of fluctuation in organisations incomes and expenditures, but we anticipate the crisis will affect far more organisations); 3. ongoing differential impacts depending on the progress of moving out from lockdown. Our work will contribute to an improved evidence base, providing actionable information on the exposure to risk of charities, drawing on a growing volume of administrative and transactional data. This will provide more granular, policy-relevant data on the impacts of economic change on charitable organisations. In turn this will provide a firmer evidential basis for interventions such as targeted financial support for strategically-significant charities. Data were downloaded regularly from the following sources. (1) The Charity Commission: the majority of charities which operate within England and Wales are legally obliged to register with the Charity Commission, whose data are now available publicly. The Charity Commission provided a comprehensive data extract which is updated regularly. Dissolutions and registrations of organisations are updated daily. Financial information is updated as and when returns are submitted by charities; there is a timelag because charities have a grace period within which to report their financial results and because there are then internal checks, which can take longer. This means that more detailed returns on which we have relied for analyses tend to take longer to appear in the publicly-downloadable files. (2) The Office of the Scottish Charity Regulator: all organisations wishing to operate as charities in Scotland must be registered with the Office of the Scottish Charity Regulator. There are differences in the characteristics of registered charities between Scotland and England / Wales, because the Scottish regulator has no income threshold above which reporting is mandatory (in England and Wales only organisations with incomes or expenditures greater than £5000 are required to do so) and because in England and Wales there are various categories of charity which do not report to the Charity Commission (because they have a different principal regulator – e.g. universities). (3) Companies House: the majority of the organisations registered with, and/or regulated by, Companies House are for-profit organisations but some are of interest to third sector researchers, such as Community Interest Companies and Companies Limited by Guarantee though the precise allocation of these to the third sector is a matter of judgement; Companies House offer, through their website, a complete list of active registered companies as a free download, updated monthly. In our work we have focussed on Companies Limited by Guarantee.

  4. f

    Mental distress (GHQ) on current economic activity between Sep 2020 and...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Oct 18, 2023
    + more versions
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    Linruo Zhang; Thierry Gagné; Anne McMunn (2023). Mental distress (GHQ) on current economic activity between Sep 2020 and March 2021 among UK young adults aged 16–34 in 2017–18. [Dataset]. http://doi.org/10.1371/journal.pone.0292540.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Linruo Zhang; Thierry Gagné; Anne McMunn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    UKHLS COVID-19 waves C5-C8, the second COVID infection wave (N = 1,390 participants, n = 4,502 observations).

  5. f

    Economic activity and mental distress in the complete-case sample.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Oct 18, 2023
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    Linruo Zhang; Thierry Gagné; Anne McMunn (2023). Economic activity and mental distress in the complete-case sample. [Dataset]. http://doi.org/10.1371/journal.pone.0292540.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 18, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Linruo Zhang; Thierry Gagné; Anne McMunn
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Economic activity and mental distress in the complete-case sample.

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Short and long term impacts of Covid-19 on Older childreN's healTh-Related behAviours, learning and wellbeing STudy (CONTRAST) dataset [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10245892

Short and long term impacts of Covid-19 on Older childreN's healTh-Related behAviours, learning and wellbeing STudy (CONTRAST) dataset

Explore at:
Dataset updated
Dec 1, 2023
Dataset provided by
Murphy, Marie
Frew, Emma
Pallan, Miranda
Pokhilenko, Irina
License

Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically

Description

The CONTRAST study explored how the Covid-19 (lockdown) restrictions affected lives of older children in the UK, particularly how they have influenced learning, eating, physical and other activities and wellbeing.

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