This CURK WP3 Survey data readme.txt file was generated on [20210714] by [Wenjing Zhang] ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset CURK Creating Time for Research WP3 Survey data 2. Author Information Principal Investigator Contact Information Name: Stephen Peckham Institution: University of Kent Address: Centre for Health Services Studies, University of Kent, George Allen Wing, Canterbury, Kent, CT2 7NF Email:s.peckham@kent.ac.uk Associate or Co-investigator Contact Information Name:Sally Kendall Institution:University of Kent Address:Centre for Health Services Studies, University of Kent, George Allen Wing, Canterbury, Kent, CT2 7NF Email:s.kendall-608@kent.ac.uk Alternate Contact Information Name: Wenjing Zhang Institution:University of Kent Address:Centre for Health Services Studies, University of Kent, George Allen Wing, Canterbury, Kent, CT2 7NF Email:w.j.zhang@kent.ac.uk 3. Date of data collection (single date, range, approximate date) 20191115 - 20200410 4. Geographic location of data collection (where was data collected?): United Kingdom 5. Information about funding sources that supported the collection of the data: This study was funded by Cancer Research UK. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: CRUK WP3 survey_July 14, 2021_07.32 Short description: Anonymised raw data of survey on 'Identifying and improving the capacity of health service staff to conduct research'. Data extracted on 14th July 2021, no clearing included (except for anonymisation steps). 2. Relationship between files: N/A 3. Additional related data collected that was not included in the current data package: N/A 4. Are there multiple versions of the dataset? no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: The survey was created using Qualtrics platform and consisted of up to 42 questionnaire items (the number of questions seen by participants depended on the responses given). The questions were structured under the following sections: 1) current role, 2) research engagement and activity, 3) motivations, enablers and barriers to research activity, 4) organisational support for research activities, and 5) (optional) strategic questions for senior level staff (Chief Medical Officer, Chief Nurses or AHPs Lead). The survey includes four/six-point scale questions, prepopulated options with responses requiring selection or ranking of items, the opportunity to add ‘other’ items and to make open statements. The survey was piloted with 11 healthcare staff from community and acute Trusts in the South East region between 1st-15th November 2019, to test content and face validation. The outcomes of the pilot indicated that the online questionnaire was acceptable to a range of healthcare staff, could be completed within a reasonable time (5-15 minutes) and was about the right length. The survey was amended with minor changes based on the pilot feedback. The pilot responses and respondents were excluded from the study to avoid any type of bias. After the pilot, the online survey was then sent to 11 participating trusts in November 2019 and stayed open for completion until the beginning of April 2020. We purposively selected a sample of English, Scottish, Welsh and Northern Ireland health care provider organisations to provide a mix of different degrees of research activity (<28 Clinical Research Network (CRN) to >1100 CRN supported studies in 2018/19), and to include staff from different professional groups and specialties. Participating NHS organisations varied in size with staff headcounts from 4,600 to over 24,000 and included five Acute Trusts, one Community Trust and one Mental Health Trust in England, two Scottish Regional NHS Health Boards, one Welsh Local Health Board and one Northern Ireland Health and Social Care Trust. 2. Methods for processing the data: The survey data were downloaded and inputted into Stata for cleaning, coding and analysis (StataCorp. 2019. Stata Statistical Software: Release 16). Respondents that selected multiple regions of work, and partial responses that did not progress to the research activity questions, were excluded from the analysis. Descriptive statistics, including cross tabulations, were used to describe and summarise the data for all questionnaire items. Open-ended qualitative questions were analysed thematically to support the interpretation of quantitative data. 3. Instrument- or software-specific information needed to interpret the data: The survey data were downloaded and inputted into Stata for cleaning, coding and analysis (StataCorp. 2019. Stata Statistical Software: Release 16). 4. Standards and calibration information, if appropriate: N/A 5. Environmental/experimental conditions: N/A 6. Describe any quality-assurance procedures performed on the data: N/A 7. People involved with sample collection, processing, analysis and/or submission: With the support from the project team, funder (CRUK) and the steering group, Wenjing Zhang and Tamsyn Eida approached participanting trusts to disseminate the survey and collect relevant data. Sarah Spencer, conducted the data clearing and quantiative analysis of the dataset. Wenjing Zhang and Tamsyn Eida conducted qualitative analysis of the responses to open questions of the survey. The full project team are invovled in the writing up of the findings, including Sarah Spencer, Wenjing Zhang, Tamsyn Eida, Stephen Peckham, Ferhana Hashem and Sally Kendall. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: [FILENAME] ----------------------------------------- 1. Number of variables: 176 2. Number of cases/rows: 1235 3. Variable List A. Name: see Row 1 for each variable Description: see Row 2 for each variable 4. Missing data codes: empty cell (no answer) 5. Specialized formats of other abbreviations used N/A