• COVID-19
• Research dataclose
• Other research productsclose
• 2019-2023close
• Digital Humanities and Cultural Heritage close

<p class="x_x_x_MsoNoSpacing">The vision of the Smart Energy Research Lab (SERL) is to deliver a unique data resource harnessing the benefits of smart meter data for research. The resource is transforming Great Britain's energy research through the long-term provision of high quality, high-resolution energy data that supports the development of a reliable evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum.</p> <p class="x_x_x_MsoNoSpacing">The goals of&nbsp;the Smart Energy Research Lab are to provide:</p> <ul> <li>A trusted data resource for researchers to utilise large-scale, high-resolution energy data </li><li>An effective mechanism for collecting and linking energy data with other contextual data</li><li>High quality data management to ensure fit-for-purpose data are provisioned to researchers</li></ul> <p class="x_x_x_MsoNoSpacing">Participant recruitment began in August 2019. Approximately 1,700 participants were recruited from central and southern England and from Wales as part of a pilot study that tested different recruitment strategies. The second recruitment wave took place in August-September 2020, and the third wave at the start of 2021. SERL recruited over 13,000 households which are regionally representative across England, Scotland and Wales. Recruitment is also designed to be representative of each Index of Multiple Deprivation (IMD) quintile; an area-based relative measure of deprivation.</p> <p class="x_x_x_MsoNoSpacing">For the latest edition (November 2022), all SERL data up to and including 31 August 2022 were made available. (Users should note that this is the 5th edition of SERL data that has been released, though the citation may refer to the 6th edition.)&nbsp; </p> <p class="x_x_x_MsoNoSpacing">All code provided with the data is now managed on the <a title="SERL GitHub" href="https://github.com/smartEnergyResearchLab">SERL GitHub</a> website.</p> <p class="x_x_x_MsoNoSpacing">Smart meter data:</p> <ul> <li>Daily and half-hourly energy (electricity and gas) consumption data</li><li>Tariff data (available for the first time in the 5th edition)</li><li>Additional smart meter technical data</li></ul> <p class="x_x_x_MsoNoSpacing">Contextual data:</p> <ul> <li>A short SERL survey completed by participant households providing data on household information and building characteristics. Survey data exists for 12,951 participants.</li><li>Energy Performance Certificate (EPC) data</li><li>Weather data</li><li>SERL Covid-19 survey; sent to wave 1 participants in May 2020 to understand their circumstances during the first lockdown.<br> </li></ul> <p></p> <p class="x_x_x_MsoNoSpacing">SERL data will be updated and made available to researchers on a quarterly basis. SERL is an evolving data resource and thus new editions of the data might include:</p> <ul> <li>additional records – more smart meter data, since the previous edition</li><li>additional participants – more participants recruited since the previous release</li><li>additional variables – where new variables become available to SERL. Tariff data is included for the first time in the 5th edition.</li></ul> <p class="x_x_x_MsoNoSpacing">Further information about SERL can be found on&nbsp;<a href="https://serl.ac.uk/" target="_blank">serl.ac.uk</a> and in the associated documentation. The 'Key Documents' section of the SERL website, which links to all publications that use SERL data, can be found at <a href="http://serl.ac.uk/key-documents">serl.ac.uk/key-documents</a>. If you do not see your SERL-data publication listed, please contact the SERL team via info@serl.ac.uk.<br> </p> <p class="x_x_x_MsoNoSpacing"></p> For the European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 data users&nbsp;should note<span>&nbsp;</span>that neither the European Commission nor the European Centre for Medium-Range Weather Forecasts will be held responsible for any use that may be made of the<a href="https://apps.ecmwf.int/datasets/licences/copernicus/">&nbsp;Copernicus information</a>&nbsp;or data it contains.<span>&nbsp;</span>The&nbsp;Energy Performance of Buildings Data is also included and users must read and abide<span>&nbsp;</span>by the&nbsp;<a href="https://epc.opendatacommunities.org/docs/copyright">Copyright Information Notice</a>, provided by the Ministry of Housing, Communities and Local Government, that covers the use of Royal Mail information and non-address data provided under the&nbsp;<a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">Open Government Licence v3.0</a>.<br>

Το έτος 2021 ανακηρύχθηκε από τον Οργανισμό Ηνωμένων Εθνών ως το Διεθνές Έτος Δημιουργικής Οικονομίας για την Βιώσιμη Ανάπτυξη. Το γεγονός αυτό, σε συνδυασμό με τα νέα δεδομένα που δημιούργησε η πανδημία covid-19 σε παγκόσμιο επίπεδο, υπογραμμίζουν τη σημασία των ασύρματων δικτύων επικοινωνίας για την εδραίωση μίας βραχυπρόθεσμης, μεσοπρόθεσμης και, κυρίως, μακροπρόθεσμης ευημερίας για κάθε πολιτιστικό φορέα. Σήμερα, την εποχή της τέταρτης τεχνολογικής επανάστασης, η ψηφιακή πραγματικότητα κερδίζει ολοένα και περισσότερο έδαφος επηρεάζοντας καθοριστικά τους όρους του οικονομικού γίγνεσθαι. Στόχος της παρούσας μελέτης είναι να χαρτογραφηθεί ο ορίζοντας του σύγχρονου ψηφιακού marketing των φορέων πολιτισμού, αναδεικνύοντας παράλληλα τις νέες προοπτικές και τάσεις του χώρου. Στο δεύτερο μέρος της μελέτης, θα επιχειρηθεί η εφαρμογή στην πράξη των πορισμάτων του πρώτου μέρους, μέσα από τη δημιουργία ιστοσελίδας για ένα μη κερδοσκοπικό οργανισμό με στόχο την προώθηση πολιτιστικού αποθέματος. Συγκεκριμένα, έπειτα από επικοινωνία με την Πρόεδρο του Σωματείου «Φίλοι των Μουσείων», κυρία Λίλα ντε Τσάβες, δόθηκε η δυνατότητα για πιλοτική αναδιαμόρφωση και αναβάθμιση του ιστοτόπου «Heritage & Museums», προκείμενου το εν λόγω website να συμμορφωθεί με τις σύγχρονες επιταγές marketing και να γίνει πιο φιλικό προς το χρήστη. Ακόμη, στο πλαίσιο της εργασίας θα καταρτισθεί πλάνο marketing ψηφιακής πολιτικής του φορέα σε βάθος ενός έτους, προκειμένου να αποτυπωθούν οι κατευθυντήριες γραμμές του θεωρητικού πλαισίου, όπως αυτό διαμορφώθηκε στο πρώτο μέρος. Εργαλεία για την εκπόνηση της μελέτης θα είναι η ελληνόγλωσση και ξενόγλωσση βιβλιογραφία και δικτυογραφία, καθώς και ο ηλεκτρονικός συγκριτισμός μεταξύ ιστοτόπων φορέων με ανάλογους στόχους και περιεχόμενο. Τέλος, στο πρακτικό μέρος της εργασίας θα αξιοποιηθούν τα μοντέλα ανάλυσης S.O.S.T.A.C, P.E.S.T.E.L και S.W.O.T κ.ά., όπως αυτά προσφέρονται από την επιστήμη του marketing. The United Nations has designated 2021 as the International Year of Creative Economy for Sustainable Development. This fact, when combined with the new data generated by the Covid -9 pandemic on a global scale, emphasises the importance of wireless communication networks in establishing short-term, medium-term, and, most importantly, long-term prosperity for every cultural institution. The goal of this research is to sketch out the landscape of modern digital marketing for cultural organisations while highlighting new perspectives and trends. The findings of the first part of the study will be put into practise in the second part of the study through the design of a website for a non-profit organisation promoting cultural heritage. The Greek-language and foreign-language bibliographies, as well as an electronic comparison of websites with similar goals and content, will be used to set up the study. Finally, the S.O.S.T.A.C, P.E.S.T.E.L, and S.W.O.T models will be used in the practical section of the paper.

Data have been generated as part of an ESRC-funded research project that investigates the potential of community-school partnerships in raising government school children’s learning in rural India. This longitudinal study covers three rounds of in-person surveys and one round of phone survey, which took place during the Covid-19 pandemic. The sample was selected from children attending government schools in primary grades 2, 3, and 4 who had not achieved foundational literacy at the time of the survey. In addition to measuring children’s foundational literacy and numeracy (in all in-person survey rounds), information was collected on each selected child’s household as well as on the schools attended by these children. The baseline survey was conducted between October 2018 and January 2019, and the survey was done for the following units at the baseline: Child, Household, School, Head Teacher, Teacher, and Classroom observations. Similarly, the midline data (i.e., the second survey round) was collected between November 2019 and March 2020. Due to the pandemic, we tracked the sampled children’s households and teachers through a phone survey during the period of school closures (from October – November 2021) to capture the status of education-related activities. The final survey (from December 2021 – January 2022) only collected information on the sample children’s enrolment status and their learning levels after the pandemic.

In order explore the experiences of family carers of people with profound and multiple learning disabilities and voluntary sector organisations during the COVID-19 pandemic, we conducted 38 focus groups – 6 voluntary sector and 32 carer (data includes 38 transcripts). There were a total of 24 participants in the voluntary sector focus groups and 126 in the carer focus groups. Participants were from Northern Ireland, Ireland, Scotland, England and Wales. Based on these findings and with the help of the co-design group, we developed the Carers-ID online support programme. To test the acceptability of the programme among family carers we conducted an online survey which was distributed to family carers. We received 70 responses to our survey (data includes SPSS data file), of which 10 participants conducted follow up interviews (data includes 10 transcripts).

<ul> </ul><ul> </ul><p><strong>Safe Room Access FRS and HBAI data</strong><br>Safe Room access datasets for the&nbsp;Family Resources Survey&nbsp;(FRS),&nbsp;Households Below Average Income&nbsp;(HBAI) and Pensioners' Income (PI) data are available in addition to the versions available under the standard End User Licence (EUL) (see&nbsp;<a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=200017">FRS series</a>&nbsp;and SNs 5828 and SN 8503 respectively).&nbsp;<br><br>The Safe Room access data are only available to access at the UK Data Archive's Safe Room at the University of Essex, Colchester. In order to obtain permission to use the Safe Room version, prospective users will need to fulfil requirements additional to those associated with standard EUL datasets, starting 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. Safe Room access users must also complete face-to-face training and agree to the Secure Access User Agreement and Licence Compliance Policy (see 'Access' section below), and complete a Baseline Personnel Security Standard (BPSS) check. Full details of the application requirements will be provided to users when they have placed an order for access to the data, and are available from&nbsp;<a title="Guidance on applying for the Family Resources Survey: Secure Access" href="http://ukdataservice.ac.uk/media/178323/secure_frs_application_guidance.pdf">Guidance on applying for the Family Resources Survey: Secure Access</a>. Users are encouraged to download and check the EUL versions of the data prior to ordering the Safe Room access version. As the FRS is the main source of data used by the HBAI, the Safe Room access version of the HBAI data, and Pensioners' Income data, have been included with the FRS.&nbsp;<br>Further information about the FRS/HBAI/PI can be found on the&nbsp;<a title="Family Resources Survey" href="https://www.gov.uk/government/collections/family-resources-survey--2">FRS</a>,&nbsp;<a title="HBAI" href="http://research.dwp.gov.uk/asd/index.php?page=hbai">HBAI</a>&nbsp;and&nbsp;<a title="PI" href="https://www.gov.uk/government/collections/pensioners-incomes-series-statistics--3">PI</a>&nbsp;pages on the GOV.UK website.<br><br><strong>FRS</strong><br>The FRS aims to&nbsp;support the monitoring of the social security system; and support the costing and modelling of changes to&nbsp;state benefits.&nbsp;As the FRS does not track individuals over time (see&nbsp;<em>Income Dynamics</em>), analysis of incomes is supplemented by the use of longitudinal data from the British Household Panel Survey (BHPS), which was subsumed into <a title="Understanding Society" href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000053">Understanding Society</a> from the beginning of 2009. The Safe Room access version of the FRS contains unrounded data and variables which are not available within the standard EUL versions, including the following:&nbsp;</p><ul><li>Household Table: HHAGEGR2, HAAGEGRP, IMD_E, IMD_W, IMD_S, IMD_NI, IMDE, IMDS, IMDW, IMDN, NIDPND, RTDRCAMT, LAC, NICOUN, LONDON, CAPVAL, BRMA, OAC, SSTRTREG, URINDS, URINDEW, GROSSCT, URB / URBNI, URBRUR, LAUA.</li><li>Benunit Table: BUAGEGRP, BUAGEGR2.</li><li>Adult Table: AGE, C2ORIGNc, CITIZEN, CITIZEN2, CORIGN, CORIGOT, MS, W1, NIREL2, DOBMONTH, DOBYEAR, AGEHQUAL, PENFLAG, POLLOPIN, RELIGENW, RELIGSC, SIDQN, TYPEED.</li><li>Child Table: C2ORIGN, CITIZEN, CITIZEN2, CORIGN, CORIGOTH, MS, DOBMONTH, DOBYEAR, TYPEED.</li></ul><p>Users should note that the variables listed may not be included for all FRS years. A full list of variables can be found in the UKDA Data Dictionaries in the Documentation section, and guidance on the latest year's contents can be found in the Hierarchical Full Listing file.</p><p><em>FRS 2020-21 and the coronavirus (COVID-19) pandemic</em></p><p>The coronavirus (COVID-19) pandemic has affected the FRS 2020-21 in the following ways:</p><ul> <li>Fieldwork operations for the FRS were rapidly changed in response to the coronavirus (COVID-19) pandemic and the introduction of national lockdown restrictions. The established face-to-face interviewing approach employed on the FRS was suspended and replaced with telephone interviewing for the whole of the 2020-21 survey year. This change impacted both the size and composition of the achieved sample. This shift in mode of interview has been accompanied by a substantial reduction in the number of interviews achieved: just over 10,000 interviews were achieved this year, compared with 19,000 to 20,000 in a typical FRS year. It is also recognised that older, more affluent participants were over-sampled. The achieved sample was particularly small for April, and was more unbalanced across the year, with a total of 4,000 households representing the first 6 months of the survey year. While we made every effort to address additional biases identified (e.g. by altering our weighting regime), some residual bias remains. Please see the FRS 2020-21 <a title="Background Information and Methodology" href="https://doc.ukdataservice.ac.uk/doc/7196/mrdoc/pdf/7196_frs_2020-21_background_information_methodology.pdf">Background Information and Methodology</a> document for more information.<br><br></li> <li>The FRS team have published a <a title="technical report" href="https://doc.ukdataservice.ac.uk/doc/7196/mrdoc/pdf/7196_frs_2020-21_technical_user_guide.pdf" style="">technical report</a> for the 2020-21 survey, which provides a full assessment of the impact of the pandemic on the statistics. In line with the Statistics Code of Practice, this is designed to assist users with interpreting the data and to aid transparency over decisions and data quality issues.</li> </ul><p> </p><p>The FRS team are seeking users' feedback on the 2020-21 FRS.&nbsp;Given the breadth of groups covered by the FRS data, it has not been possible for DWP statisticians to assess or validate every breakdown which is of interest to external researchers and users. Therefore, the FRS team are inviting users to let them know of any insights you may have relating to data quality or trends when analysing these data for your area of interest. This will help the FRS team as we begin to process and quality-assure the 2021-22 dataset.&nbsp;Please send any feedback directly to the FRS Team Inbox:&nbsp;<a href="mailto:team.frs@dwp.gov.uk">team.frs@dwp.gov.uk</a></p><ul> </ul><p><strong>HBAI</strong><br>The&nbsp;HBAI data presents information on living standards in the UK based on household income measures for the financial year. HBAI uses equivalised disposable household income as a proxy for living standards - in order to allow comparisons of the living standards of different types of households, income is adjusted to take into account variations in the size and composition of the households in a process known as equivalisation. A key assumption made in HBAI is that all individuals in the household benefit equally from the combined income of the household. This enables the total equivalised income of the household to be used as a proxy for the standard of living of each household member.</p><p> </p><p>In line with international best practice, the income measures used in HBAI are subject to several statistical adjustments and, as such, are not always directly relatable to income amounts as they might be understood by people on a day-to-day basis. These adjustments, however, allow comparison of measures over time and across households of different sizes and compositions on a consistent basis. HBAI uses variants of CPI inflation when estimating how incomes are changing in real terms over time. The main source of data for the HBAI is the FRS. The Safe Room access version of the HBAI comprises unrounded data and the extra variable CTLIAB - Amount of council tax the household is liable for.</p><p>Users should note that many variables across the files do not include full variable or value labels. This information can be found easily in HBAI Harmonised Data Variables Guide in the documentation.<br><br><strong>PI<br></strong>The Pensioners' Incomes (PI) series data from 2007/08 onwards is also included. The PI series carries out a few extra steps beyond the FRS and HBAI data to derive pension income variables. Unlike the standard EUL versions, the ages of the head of household and spouse have not been top-coded at 80 years in the Safe Room access version.<br><br><strong>Documentation<br></strong>The study documentation presented in the Documentation section includes data dictionaries for all years, and other documentation for the latest year of the FRS, HBAI and PI only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request.&nbsp;<br><br><strong>Latest edition information</strong><br>For the 12th edition (June 2022) FRS, HBA, and PI data and documentation for 2020/21 have been added to the study. For HBAI, the complete back series of data and documentation (1994/95-2019/20) has also been replaced; see the documentation for further details.</p>

<p>The continued impact of COVID-19 on adolescent mental health, educational attainment and future prospects is of great concern. The aim of this study was to capture the experiences of adolescents as the pandemic unfolds and longer-term societal and economic consequences emerge. Adolescents may be of particular risk for adverse effects due to COVID-19 as this was a period of increased risk for developing psychopathology (Fairchild 2011, Paus et al 2008), as well as a crucial time for establishing personal identity/independence. During this period, peer relationships are especially important (Albarello et al 2018, Hay and Ashman 2003, Steinberg &amp; Morris 2001). Hence, the normal developmental processes of adolescence are likely to be disrupted by the COVID-19 pandemic. Nonetheless, there are individual differences in responses to adversity so that not all individuals exposed to the same stressors will experience adverse effects or impaired mental health (Cicchetti 2010) and some exhibit better-than-expected responses to adversity, a phenomenon known as 'resilience' (Galatzer-Levy et al 2018, Masten 2011, Yule et al 2019).</p> <p>This study has been designed to explore which factors (e.g., gender, ethnicity, socioeconomic status, family function, decision-making abilities) determine the impact of the pandemic on young adolescents. The basis for this work was established just over a year ago when an online survey was conducted to examine the impact of Covid-19 on young people aged 13-24 (n = 2002, stratified by age, ethnicity and deprivation index) as part of the COVID-19 Research Consortium Study (C19PRC, https://osf.io/v2zur/wiki/home/).</p> <p>The study's findings revealed unique challenges faced by younger adolescents in terms of the impact of the pandemic on their mental health and highlighted the importance of key factors that are not currently being addressed, e.g., young people's social and psychological adjustment and difficulty in enacting health behaviour (Levita et al 2020a, Levita et al 2020b). Due to a lack of resources, this study did not include follow-ups or further exploration of the lived experience of the pandemic from young people themselves. Consequently, the objective was to build on this work and enrich the self-report data to more accurately profile the mental health and well-being of adolescents, by following a representative sub-sample aged 13-16 from the original cohort one year on.</p> <p>To that end, the research encompassed<br></p> <p>(1) conducted qualitative individual personal interviews (virtually) with participants. This is a more personal form of research that helps to better explore and understand participants' opinions, behaviour, and experiences and has been missing from research on the Impact of COVID-19 on young adolescents (e.g., Ares et al 2021, Copeland et al 2021, Hawes et al 2021).</p> <p>(2) Mental health, well-being, and resilience indices was gathered from an online survey.</p> <p>(3) Using short smartphone tasks, decision-making indices, that can provide an accurate way (less prone to bias) to gauge how mood affects the way these young people make decisions about risk.</p> <p>These tasks have been shown by the team to predict anxiety symptoms and real-time COVID-19 health behaviour (including social distancing adherence) in adults (Lloyd et al 2020). In the rapidly changing context of the COVID-19 pandemic, this work will help policy makers understand, from young people's perspective, which groups of young people need support to aid their well-being; when they need support and what kind of support they would like, from evidence-based research.</p>

This work develops a spatially-led practice to negotiate and share individuals’ perspectives of their own life course. This technique is designed particularly for researching culture(s) and feeling(s) - everyday life (Highmore, 2011) - attached to a given epoch. The focus of my ESRC Postdoctoral Fellowship project is to understand the increasingly suburban and car-oriented places built in the 1960s and 1970s. The technique relies upon online mapping systems and technologies which allow video conversations to be recorded. The broad methodology takes essential elements of one-to-one biographical walking interviews. Sometimes referred to as go-alongs (Carpiano, 2009), the participant leads the way to show spaces and place significant to their life, with the interviewer guiding the conversation. Covid-19 restrictions limited face-to-face interviews (Hall, Gaved, & Sargent, 2021) but also opened the possibility for many conversations to move on to digital platforms. Spatially-led interviews are hosted on digital platforms such as Zoom, where participants and researchers share walks through media such as Google Maps. The conversation is digitally recorded, providing a complete visual record of the spaces visited during the conversation alongside the faces of the participants and their commentary. There are three specific films in this record. They concern an interview with Pat Wright, who was happy for her likeness to be used. • Moving to Newport in 1963. This gives context about the advantages of modern housing in the 1960s compared to older terraced houses with no central heating. • Demolitions in Newport mid-1970s. Account of the plan to build a by-pass road through Newport. Interesting background on renewing urban fabric of towns and cities in the UK and the rise of Civic Trusts to protect the built environment. • Video opening Newport Library 1968. Context about the opening of Newport Library. Reveals power of geography to connect people with memories. Two other individuals were interviewed using this technique and this data may be made available at a later date. Theoretical considerations Walking approaches allow us to explore the affective connections that people have to spaces such as streets and neighbourhoods. Though less atmospheric and embodied than being on an outdoor walk, the walk through digitally-mapped space is promotes the interviewee to recall memories and feelings. The non-verbal elements of “vitality, performativity, corporeality, sensuality, and mobility” (Vannini, 2015, p. 318) are partly captured through the visual records. These interviews complement other biographical or life story techniques and are particularly useful for meeting people some distance away. In my case I seek to explore the attitudes and values of people who are now considered to be older. The main application for my project is to develop participatory walking tours (Evans & Jones, 2011). The stories that people share through these interviews are interpreted by performance artists, whose playful approach helps to communicate with the public (people of all ages). This is an edited 2-minute film captured using the spatially-led digital walking interview technique developed though my project. The participant reveals her memories of Newport Library being opened on April 5 1968.

<div>The <span style="font-style: italic;">Business Insights and Conditions Surve</span><span style="font-family: &quot;Helvetica&quot;, sans-serif;"><span style="font-style: italic;">y</span> (BICS, formerly</span><span style="font-size:11.0pt;font-family:&quot;Helvetica&quot;,sans-serif; mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-ansi-language: EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA"></span><span style="font-style: italic;"> the Business Impact of COVID-19 Survey)</span> is a voluntary fortnightly survey of businesses developed to deliver timely indicators to help understand the impact of the coronavirus pandemic (COVID-19).&nbsp; The scope of the survey has been expanded to explore other economic-related issues such as the European Union transition period (Brexit).&nbsp; The survey captures businesses responses on how their turnover, workforce, prices, trade and business resilience have been affected in the two week reference period.<br class="Apple-interchange-newline"></div><div><br></div><div>The data should be treated with caution as results reflect the characteristics of those who responded and not necessarily the wider business population. Comparison of the proportions of businesses' trading status between waves should be treated with caution because of the voluntary nature of the survey, the difference in response rates and dependency on those businesses that only responded in particular waves. These data should not be used in place of official statistics. The survey was designed to give an indication of the impact of the coronavirus on businesses and a timelier estimate than other surveys. The latest publications from the survey can be found on the ONS <a href="https://www.ons.gov.uk/businessindustryandtrade/business/businessservices" target="_blank">Business Services</a>&nbsp;webpage.&nbsp;</div><div><div><br><div><span style="font-style: italic;">Linking to other business studies</span></div><div>These data contain 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.</div><div><br></div><span style="font-weight: bold;">Latest edition information</span><br>For the seventeenth edition (March 2023), data and documentation for Waves 71 to 77 have been added.<br></div></div>

Abstract Health diplomacy has played a vital role worldwide during the coronavirus outbreak. One crucial mechanism in this regard has been “vaccine diplomacy,” which describes country efforts to share COVID-19 vaccines. China and India are ahead of other countries in bilateral vaccine donations due to their South-South Cooperation policies. Looking forward, how and why are these two countries employing their vaccine diplomacy strategies? We compare the engagement of both in this field using a Comparative Foreign Policy Analysis framework. Our results suggest that neither is acting only for altruistic reasons, because economic and political interests are the main drivers behind their strategies.

Except for the dataset, the replication material in this repository includes all necessary scripts and packages to replicate the results of Deryugina, Shurchkov, and Stearns. 2022. "Public School Access or Stay-at-Home Partner: Factors Mitigating the Adverse Effects of the COVID-19 Pandemic on Academic Parents." AEA Papers and Proceedings. The dataset is available at openicpsr-166941 following a simple applicatino process.