The Civil Service People Survey (CSPS) is an annual survey open to all Civil Servants and those that work for Civil Service organisations. In 2012 297,318 Civil Servants across 97 organisations participated.

The CSPS provides consistent and robust metrics which help us understand how we can improve levels of engagement across the Civil Service. The 2012 survey was carried out in October 2012; see the temporal details below for the start and end of fieldwork.

The linked files provide for each of the 97 participating organisations their employee engagement Index, theme scores, and % positive scores for each of the core attitudinal questions asked to all respondents. A formatted (XLSX) and unformatted (CSV) version is available.

Abstract copyright UK Data Service and data collection copyright owner.

The Active Lives Children and Young People Survey, which was established in September 2017, provides a world-leading approach to gathering data on how children engage with sport and physical activity. This school-based survey is the first and largest established physical activity survey with children and young people in England. It gives anyone working with children aged 5-16 key insight to help understand children's attitudes and behaviours around sport and physical activity. The results will shape and influence local decision-making as well as inform government policy on the PE and Sport Premium, Childhood Obesity Plan and other cross-departmental programmes. More general information about the study can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.

Due to the closure of school sites during the coronavirus pandemic, the Active Lives Children and Young People survey was adapted to allow at-home completion. This approach was retained into the academic year 2022-23 to help maximise response numbers. The at-home completion approach was actively offered for secondary school pupils, and allowed but not encouraged for primary pupils.

The adaptions involved minor questionnaire changes (e.g., to ensure the wording was appropriate for those not attending school and enabling completion at home) and communication changes. For further details on the survey changes, please see the accompanying User Guide document. Academic years 2020-21, 2021-22 and 2022-23 saw a more even split of responses by term across the year, compared to 2019-20, which had a reduced proportion of summer term responses due to the disruption caused by Covid-19.

The survey identifies how participation varies across different activities and sports, by regions of England, between school types and terms, and between different demographic groups in the population. The survey measures levels of activity (active, fairly active and less active), attitudes towards sport and physical activity, swimming capability, the proportion of children and young people that volunteer in sport, sports spectating, and wellbeing measures such as happiness and life satisfaction. The questionnaire was designed to enable analysis of the findings by a broad range of variables, such as gender, family affluence and school year.

The following datasets have been provided:

1) Main dataset: this file includes responses from children and young people from school years 3 to 11, as well as responses from parents of children in years 1-2. The parents of children in years 1-2 provide behavioural answers about their child’s activity levels; they do not provide attitudinal information. Using this main dataset, full analyses can be carried out into sports and physical activity participation, levels of activity, volunteering (years 5 to 11), etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

2) Year 1-2 dataset: This file includes responses directly from children in school years 1-2, providing their attitudinal responses (e.g., whether they like playing sport and find it easy). Analysis can also be carried out into feelings towards swimming, enjoyment of being active, happiness, etc. Weighting is required when using this dataset (wt_gross / wt_gross - Csplan files are available for SPSS users who can utilise them).

3) Teacher dataset: This file includes responses from the teachers at schools selected for the survey. Analysis can be carried out to determine school facilities available, the length of PE lessons, whether swimming lessons are offered, etc. Since December 2023, Sport England has provided weighting for the teacher data (‘wt_teacher’ weighting variable).

For further information, please read the supporting documentation before using the datasets.

Main Topics:

Topics covered in the Active Lives Children and Young People Survey include:

• Sport and physical activity participation
• Well-being
• Health

The Scottish Young People's Survey (SYPS) was a nationally-representative survey of young people in Scotland. The first sweep of the survey was carried out when the young people were aged 16/17, with a subsequent sweep at age 18/19. The SYPS1989autumn survey was the 2nd sweep of the cohort who were in the SYPS 1987 (also held in Datashare), and describes the experiences of young people in jobs, training or unemployed, as well as those continuing their education at school, college or university. In addition to factual questions about attainment and destinations, family background, social class, school and region, each of the surveys included questions about attitudes, aspirations and choices.

Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html).

Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults age ≥18 years are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html.

Data are weighted to represent total persons age 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).

Survey 123 is a simple way to collect data from people. Surveys allow us to ask questions, get answers, and make better decisions. You can create surveys with traditional survey questions, but a unique feature of Survey123 is that you can also ask questions where people can respond about specific places, such as where they have made an observation or places they value in your community. This location information can then be automatically included in maps that you can share with your community or the world through the web!Questions that are formulated in Survey 123 can come in various forms. Such as, single text, single choice, multiple choice questions, or numerical questions.

The Active People Survey commenced in October 2005 and was commissioned by Sports England. The primary objective of the survey was to measure levels of participation in sport and active recreation and its contribution to improving the health of the nation. Sport and active recreation included walking and cycling for recreation in addition to more traditional formal and informal spots. When measuring sports participation the survey not only recorded the type of activity but also the frequency, intensity and duration of the activity.

The Active People Survey was replaced by the Active Lives Survey in November 2015. Active Lives is a new survey with a different methodology and intended to measure different outcomes from those in the Active People Survey, however there are similarities as it was important that data could be reproduced on some of the key measures.

More general information can be found on the Sport England Active Lives Survey webpage and the Active Lives Online website, including reports and data tables.


For the second edition (October 2015), the data file was replaced with a new version to reflect changes in the Sport England core measure, the ‘1x30’ indicator. The documentation has also been updated.

Dataset

This dataset was created by ranek4

Released under Other (specified in description)

Contents

Research software is increasingly recognized as critical infrastructure in contemporary science. Research software spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. Research funders have developed programs, initiatives and policies to bolster research software’s role. However, there has been no empirical study of how research funders prioritize support for research software. This information is needed to clarify where current funder support is concentrated and where strategic gaps may exist. Here, we present data from a survey of research software funders (n=36) from around the world. The survey explored these funders’ priorities, finding a strong emphasis on developing skills, software sustainability, embedding open science, building community and collaboration, advancing research software funding, increasing software visibility and use, innovation and security.

Methods

This research was carried out using a survey combining qualitative and quantitative items. The survey was designed to investigate how research software funders support research software’s sustainability and impact.

The study was reviewed and given an exempt determination by the University of Illinois Urbana-Champaign Institutional Review Board (no. 24374).

Survey design

The survey designed for this study began by collecting profile information, including institutional affiliation and job title. The survey gathered information about respondents’ organization’s initiatives, policies, or programs to support research software. The range of questions yielded too much data for one article. In this article, we focus exclusively on the results generated via an open-ended question asking about the top priorities for the respondents’ organizations’ support for research software: “What are your organization's top priorities related to research software?”. Four open-response text boxes were provided for respondents to indicate and list these priorities.

Sampling

This survey was aimed at international research funders, including governmental and non-governmental (e.g., philanthropic) funders. A list of contacts to invite to participate in this survey was created based on participation in the Research Software Association (ReSA) and responsibility for research software funding known to the authors. This initial list of people was refined, with removals based on individuals having moved to unrelated professional roles or being unavailable long-term, for example, due to personal issues.

The final, refined contact list comprised 71 people. After removing individuals when a member of their organization already provided a complete answer or when the person turned out to no longer be working on a relevant topic or to be otherwise unavailable (total of n=30), 41 people remained. Five of these individuals did not complete the survey, while 36 people (representing 30 research funding organizations) did, yielding a response rate of 87.8%. Fully completed survey responses were not required for individuals to be retained in the sample, resulting in varied sample bases across survey questions.

The sample includes research funders in North and South America, Europe, Oceania and Asia, but over-represents North America and European funder representatives. Some participating funders cover a broad spectrum of disciplines, while others focus on a particular domain such as social science, health, environment, physical sciences or humanities.

Continent	Count
North America	15
South America	4
Europe	12
Oceania	3
Asia	1

The respondents represented research funders supported by governmental (n=26), philanthropic (n=6) and corporate (n=1) resources.

Respondents’ job titles span the following categories: Senior Leadership and Executive, such as a Vice President of Strategy; Program and Project Management, such as Senior Program Manager; Planning and Business Development; Scientific, Technical and IT, such as Scientific Information Lead.

Most respondents 72.7% (n=24) answered ‘Yes’ to the question, “Has your organization established any policies, initiatives or programs aimed at supporting research software?”, while 18.2% (n=6) said ‘No’ and 9.1% (n=3) ‘Unsure’.

Data collection, management and analysis

Data collection took place from December 2023 to May 2024. The mean completion time for the detailed survey was 28 minutes and 13 seconds.

The data were cleaned and prepared for analysis by removing any identifiable respondent details. The data analysis process followed a standard thematic qualitative analysis approach (e.g., Jensen & Laurie, 2016). This involved first identifying themes and organizing the data accordingly. Dimensions of each theme were identified where relevant. Then data extracts were selected from the survey responses associated with each theme and theme dimension.

Additional data: Evolving funding strategies for research software: Insights from an international survey of research funders

Data were uploaded in December 2024 to support another paper drawing on the same overall survey data. This one is entitled: 'Evolving funding strategies for research software: Insights from an international survey of research funders'. The survey data for this upload were generated using the following survey items.

Variable	Survey Item	Response Options
Policies, initiatives, or programs aimed at supporting research software	“Has your organization established any policies, initiatives or programs aimed at supporting research software?” (This could include grants, fellowships, funding policies, conference funding, or other kinds of support aimed at bolstering the sustainability or impact of research software)	Yes, No, Unsure (If ‘Yes’, then the next question was asked)
Number of policies or programs to be reported	“How many of your organization’s policies, initiatives or programs to support research software are you familiar with?”	1, 2, 3, 4, 5+
The following questions were asked for each policy, initiative, or program
Name of policy or program	“Please name the policy, initiative or program (starting with the one you are most familiar with):”	[Text line]
Status of policy or program	“What is the status of this policy, initiative or program?”	Completed/closed, In progress/open, Other (please specify)
Link(s)/description	“Please provide link(s) to the policy, initiative or program, upload or email to [the researcher’s contact details].” “Link(s)/Description:” (If there is no documentation available, please describe it here:)	[Textarea], [File upload]
Type of policy or program	“Which of the following best describes the policy, initiative or program you named above?”	Funding program, Policy that affects funding decision-making or outcomes (funder side), Policy that affects funding applicants or recipients (applicant/awardee side), Other (please specify)
If ‘Funding program’ was selected in the previous question, then the next question was asked
Type of funding	“Which of the following best describes the available funding?”	Funding that includes research software, Dedicated funding only for research software, Other (please specify)
For all categories of policy, initiative or program, the following questions were asked.
Problem(s) addressed	“Please summarize the problem(s) this policy, initiative or program is aiming to address from your organization’s perspective:”	[Text Area]
Perceived level of program success	“What factors have contributed to its success or lack of success?”	Very successful, Successful, Neutral, Unsuccessful, Very unsuccessful, Not applicable / No opinion

Provisional results from a survey of older people aged 65 and over receiving home care. A questionnaire was sent out to a sample of users in each Council to gain an understanding of their experience of the service they receive. Source: National Adult Social Care Intelligence Service (NASCIS) Publisher: Information Centre (IC) Geographies: County/Unitary Authority Geographic coverage: England Time coverage: 2008/09 Type of data: Survey

The percentage of City of Hamilton employees that participated in the Our People Survey. The Our People Survey is a voluntary and confidential survey issued only for City of Hamilton employees. The survey, which is executed by a third-party vendor (Metrics@Work), is conducted every 3 years and allows the City’s administration to gain insights into how its employees feel about working for the City of Hamilton.

Dataset I: We designed the all-teaching staff survey (dataset I, also see ESM B) to capture a holistic view of the teaching staff's perceptions of all the Faculty Development (FD) available and how they have applied any knowledge or skills acquired from them. Members of the research team completed the survey and refined it. We emailed an online survey to the Faculty of Medical and Health Sciences (FMHS), University of Auckland teaching community, comprising approximately 460 staff members. We included the invitation to an interview by a link at the end of the survey. Following face validity, we undertook pilot testing of dataset I (all-teaching staff survey) with the first five survey responses, minor changes were made and the recruiting continued. As this is a descriptive study, we did not undertake further validity and reliability testing of the dataset I survey.This is underlying data associated with the article 'Faculty development for strengthening online teaching capability: being responsive to what staff want, evaluated with Kirkpatrick’s model of teaching effectiveness' which has been published in MedEdPublish 2023, 13:127 (https://doi.org/10.12688/mep.19692.1).

COVID-19 Control Practices by demographic variables.

Provides data on the number of children that women aged 15-50 have ever had, year of first birth, mother's age at first birth, and marital status at first birth.

Population: City: Age 65 and Above: Guangdong data was reported at 5.504 Person th in 2023. This records an increase from the previous number of 5.151 Person th for 2022. Population: City: Age 65 and Above: Guangdong data is updated yearly, averaging 1.990 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 4,907.330 Person th in 2020 and a record low of 1.095 Person th in 1997. Population: City: Age 65 and Above: Guangdong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Region: City.

Population: City: Age 65 and Above: Jilin data was reported at 1.856 Person th in 2023. This records an increase from the previous number of 1.615 Person th for 2022. Population: City: Age 65 and Above: Jilin data is updated yearly, averaging 0.952 Person th from Dec 1997 (Median) to 2023, with 27 observations. The data reached an all-time high of 1,476.560 Person th in 2020 and a record low of 0.607 Person th in 2012. Population: City: Age 65 and Above: Jilin data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Sample Survey: By Age and Region: City.

Context

The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents.

Content

The World Value Survey data grouped by country and wave. Question codes are matched with the mean for the subgroup if numeric, and else the mode. Also, standard deviation of answers in subgroup are given in columns with code name plus suffix '_SD'. Attached Code File links the variables to their original questionnaire content, including the possible reactions.

All negative, and thus missing, responses have been indicated as NA.

Acknowledgements

The entire dataset has been created and is maintained by the World Values Survey organisation. Find the entire dataset at their official website. Please note the following disclaimer:

These data files are available without restrictions, provided

a) that they are used for non-profit purposes; and b) correct citations are provided and sent to the World Values Survey Association for each publication of results based in part or entirely on these data files. This citation will be made freely available; and c) the data files themselves are not redistributed.

Inspiration

Quote:

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

This study is the first stage of a two-stage quantitative survey looking at the impact of the New Deal for Young People (NDYP) on participants (the other part of the survey is not yet held at UKDA).
The two overarching objectives of the research were to look at how the various components of the programme helped young unemployed people into jobs and increased their long term employability. The first part of the research aimed to:
collect attitudinal data on work motivation, orientation and aspiration, as well as jobsearch behaviour;
collect information on earnings for those in employment;
establish benchmark measures for employability to be used in the more detailed Stage 2 research.