There were approximately 183,720 students enrolled at universities located in Birmingham and the West Midlands Metropolitan County during the 2022/23 academic year. As of this year, The University of Birmingham had the largest number of students in this area, at 38,820, followed by Coventry University, at 35,405.

Abstract copyright UK Data Service and data collection copyright owner.

To collect a large amount of information about medical students, with particular emphasis upon details of their cultural activities and their political and ethical views. The intention was to discover any correlations between these activities. Data were collected about attitudes towards general practice and career preferences, as well as standard demographic data.
Main Topics:

Attitudinal/Behavioural Questions
Whether either of respondent's parents are doctors, Registrar-General's socio-economic class to which father's occupation belongs, relationship between father's and grandfather's social class. Whether parents positively influenced subject's decision to study medicine, possible alternative courses. Whether break taken between school and university, whether break recommended, main activity during this time. Occupation before beginning medical course (where appropriate).
Frequency of experience as a hospital in-patient, experience of general anaesthetic, intention to register with the General Medical Council, intention to emigrate/practise in an under-developed country, future plans after qualifying, scope of present medical knowledge.
Opinions on a variety of statements and questions about the medical profession are investigated and medical decisions involving judgement on ethical and moral grounds are explored. Opinions about general practitioners and medical courses are also collected.
Hours spent studying/playing sport/watching TV/in the pub/at hobbies per week. Frequency of visits to classical and popular cultural events (including museums and art galleries), frequency of party-going, number of non-medical books read per year, newspapers/magazines read regularly. Respondents were asked to indicate which of a list of authors he/she had read. Countries visited.
Background Variables
Age, sex, marital status, number of siblings, home region, type of school attended, O level/A level subjects passed, medical school, year of study. Car ownership of parents, religion, church attendance.

University of Birmingham, School of Geography is a book publisher. They published 2 books in our database by 2 different authors between 1997 and 1998.

University of Birmingham, School of Humanities is a book publisher. They published 1 books in our database by 1 different authors between 2001 and 2001.

This dataset is about books and is filtered where the book publisher is University of Birmingham, School of Social Sciences, European Research Institute., featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

This bar chart displays books by book using the aggregation count and is filtered where the book publisher is Student Support & Counselling Service, University of Birmingham. The data is about books.

Background: Age-related macular degeneration (AMD) is a degenerative disease of the human retina affecting individuals over the age of 55 years. AMD is the leading cause of blindness in industrialized countries. Worldwide, the number of people with AMD is predicted to increase from 196 million in 2020 to 288 million by 2040.

The UHB AMD Dataset is a longitudinal dataset consisting of routinely collected imaging and clinical metadata from patients receiving treatment for age-related macular degeneration (AMD) at UHB, from 2007 to the present.

This dataset encompasses all patients at UHB who have received at least one injection of either Lucentis (ranibizumab) or Eylea (aflibercept) or avastin. This dataset will include data from both eyes in each case - for example, it will include data from fellow eyes that are not receiving injections. For these reasons, the dataset will include longitudinal data from a mixture of eyes with both “dry” and “wet” AMD. Clinical metadata includes demographic information, visual acuities (predominantly measured with Early Treatment Diabetic Retinopathy Study (ETDRS) charts), treatment, and outcomes.

This dataset is continuously updating, however, as of October 2021, it consisted of 15063 eyes receiving treatment for AMD. This is a large single centre database from patients with AMD and covers more than a decade of follow-up for these patients.

Geography The Queen Elizabeth Hospital is one of the largest single-site hospitals in the United Kingdom, with 1,215 inpatient beds. Queen Elizabeth Hospital is part of one of the largest teaching trusts in England (University Hospitals Birmingham). Set within the West Midlands and it has a catchment population of circa 5.9million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

Data source: Ophthalmology department at Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.

Comprehensive ranking data showing academic and design excellence achievements

UK undergraduates completed the 21 item Depression Anxiety Stress Scale (DASS-21) in the autumn of 2020, 2019, 2018 and 2017. Overall, we had 763 participants. We compared depression, anxiety and stress subscale scores as well as scores on each question of the DASS-21 across the four years.

Asian and European studies suggest that the Covid-19 pandemic is worsening university student mental health. We aimed to investigate whether this was also the case in the UK.

Abstract copyright UK Data Service and data collection copyright owner.

This is a mixed methods data collection.

The primary purpose of this study was to examine patterns of participation in post-compulsory science and science-related programmes. The data held at the UK Data Archive comprises a set of semi-structured interviews (13 individual interviews and one focus group interview) conducted with undergraduates in various disciplines, and a quantitative survey of the higher education (HE) experience of undergraduate scientists and the reasons they give for choosing, or not choosing, to follow a career in the Science, Technology, Engineering and Mathematics (STEM) field. The research project sought to address three broad research questions:

• What are the long-term patterns of participation in post-compulsory science and science-related courses in the UK?
• To what extent does the undergraduate experience influence students’ decisions to pursue a career in science?
• What happens to science graduates once they leave HE?

These three questions constitute the study’s three main phases. Phase 1 considered the period up to the start of HE and looked at patterns of participation in the pure sciences at A-level and at applications and admissions to university programmes. Phase 2 included the survey of undergraduate science and non-science students and Phase 3 looked at what happens to science graduates once they leave HE.

The project also made use of pre-existing data: aggregate data was retrieved from examination boards and government and publicly accessible datasets retrieved from the UK University and Colleges Admissions Service (UCAS).

Further information may be found on the ESRC Who is studying science? An analysis of patterns in the recruitment, training and employment of scientists award webpage.


Main Topics:

Topics covered include experiences during the sixth form and the last years of school; attitudes to courses, coursework, the degree subject chosen and experiences at university; aspirations for the future and careers/employment chosen.

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of this project was to produce a machine friendly version of the manuscript index of employers of manservants in England and Wales in 1780, as contained in PRO T.47/8. The data was to be entered on to a computer and then put into a package that would have the following facilities 1. a printed version of the source; 2. a subset of the full list that could be called up under any one of the following criteria : town, county, name, employers of a given number of servants; 3. facilities for producing a statistical breakdown of the data, including that of a given subset of the data.
Main Topics:

The data comprises the following variables: name, town/location and county of employer, and the number of servants employed. A subset of the data lists employers with servants in more than one location.

Diabetes mellitus affects over 3.9 million people in the UK, with over 2.6 million people in England alone. Diabetic retinopathy (DR) is a common microvascular complication of type 1 and type 2 diabetes and remains a major cause of vision loss and blindness in those of working age. The National Institute for Health and Care Excellence recommendations are for annual screening using digital retinal photography for all patients with diabetes aged 12 years and over until such time as specialist surveillance or referral to Hospital Eye Services (HES) is required.

Birmingham, Solihull and Black Country DR screening program is a member of the National Health Service (NHS) Diabetic Eye Screening Programme. This dataset contains routine community annual longitudinal screening patient results of over 200000 patients with screening results per patient ranging from 1 year to 15 years. Key data included are: • Total number of patients screened and graded over a 15 year period. • Demographic information (including age, sex and ethnicity) • Diabetes status • Diabetes type • Length of time since diagnosis of diabetes • Visual acuity • The national screening diabetic screening grade category (seven categories from R0M0 to R3M1) • Diabetic eye clinical features • Reason for sight and severe sight impairment • Screening Outcome (digital surveillance and time; referral to HES)

Geography Birmingham, Solihull and Black Country is set within the West Midlands and has a population of circa 5.9million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

Data source: The Birmingham, Solihull and Black Country Data Set, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom. They manage over 200,000 patients, with longitudinal follow-up up to 15 years, making this the largest urban diabetic screening scheme in Europe.

Website: https://www.retinalscreening.co.uk/

Pathway: The Birmingham, Solihull and Black Country dataset is representative of the patient pathway for community screening and grading of diabetic eye disease. It covers standard UK Public Health England Diabetic Eye Screening requirements and will include patients receiving screening through the standard model, routine diabetic screening, surveillance and slit lamp examination.

This bar chart displays books by book publisher using the aggregation count and is filtered where the book publisher is International Development Department, School of Public Policy, University of Birmingham. The data is about books.

No description is available. Visit https://dataone.org/datasets/89d23e67a90acd382fb0b2059dc41ac6 for complete metadata about this dataset.

EU KLEMS Growth and Productivity Accounts: March 2007 Release All series derived from this database need to be referred to as follows: Source: EU KLEMS Database, March 2007, see Marcel Timmer, Mary O'Mahony & Bart van Ark, The EU KLEMS Growth and Productivity Accounts: An Overview, University of Groningen & University of Birmingham; downloadable at www.euklems.net For a brief description of results on a country-by-country basis obtained from the EU KLEMS Growth and Productivity Accounts, please refer to: Bart van Ark, Mary O’Mahony and Gerard Ypma eds., The EU KLEMS Productivity Report, Issue 1, University of Groningen & University of Birmingham, March 2007. More information on additional EU KLEMS releases can be found on the website of the Groningen Growth and Development Centre (GGDC). The original website of the EU KLEMS project, on which these data were first released, has been archived, but is still available through the Internet Archive. Consortium members EU KLEMS Project: University of Groningen, Groningen Growth and Development Centre (GGDC, Groningen) National Institute of Economic and Social Research (NIESR, London) Centre d'études prospectives et d'informations internationales (CEPII, Paris) Centre for Economic and Business Research (CEBR, Copenhagen) Netherlands Bureau for Economic Policy Analysis (CPB, The Hague) Deutsches Institut für Wirtschaftsforschung (DIW, Berlin) Federaal Planbureau (FPB, Brussels) Information on the Istituto di Studi e Analisi Economica (ISAE, Roma) Instituto Valenciano de Investigationes Económicas (IVIE, Valencia) Helsinki School of Economics (HSE, Helsinki) Österreichisches Institut für Wirtschaftsforschung (WIFO, Vienna) Wiener Institut für Internationale Wirtschaftsvergleiche AMsterdam Institute for Business and Economic Research, Free University Amsterdam (AMBER) The Conference Board Europe (TCB, Brussels) Fachhochschule Konstanz (FK, Konstanz) University of Birmingham (UNI-BHAM, Birmingham) Pellervo Economic Research Institute (PTT, Helsinki) This project was funded by the European Commission, Research Directorate General as part of the 6th Framework Programme, Priority 8, "Policy Support and Anticipating Scientific and Technological Needs". More about this project.

List of Institutions offering MSc FinTech programs 1 MS Finance (FinTech and Financial Analytics), HK Baptist University, Hong Kong 2 MS Financial Technology, New Jersey City University, USA 3 MSc Financial Technology, HK University of Science & Technology, Hong Kong 4 MSc Financial Technology, Imperial College Business School, UK 5 MSc Financial Technology, University of Birmingham, UK 6 MSc Financial Technology, University of Essex, UK 7 MSc Financial Technology, University of Glasgow, UK 8 MSc Financial Technology, University of Liverpool, UK 9 MSc Financial Technology, University of Strathclyde, UK 10 MSc Financial Technology (FinTech), Nanyang Technological University, Singapore 11 MSc Financial Technology (FinTech), Coventry University, UK 12 MSc Financial Technology (FinTech), Manchester Metropolitan University, UK 13 MSc Financial Technology (FinTech), Teesside University, UK 14 MSc Financial Technology (FinTech), University of Salford, UK 15 MSc Financial Technology (FinTech), University of Stirling, UK 16 MSc Financial Technology (Fintech), University of Exeter, UK 17 MSc Financial Technology (FinTech), University of West England - Bristol, UK 18 MSc Fintech, Risk and Investment Analysis, University of Sussex, UK 19 MSc Fintech with Business Analytics, University of Westminster, UK 20 MSc FinTech and Policy, University of Surrey, UK 21 MSc FinTech and Financial Markets, Nottingham Trent University, UK 22 MSc Fintech, University of Huddersfield, UK

Six subject areas were identified including: • FinTech; • Technology; • Finance; • Analytics; • RegTech; • Others.

Data is organized in three worksheets; 1. Raw data comparing 22 MSc programs 2. Course wise arrangement of all programs 3. MS FinTech structure

In this project we capitalised on the achievements of the West Midlands Regional Economic Development Institute (WMREDI) collaboration and the policy-focused research efforts of our university affiliates throughout the West Midlands. Our focus in Phase 1 revolved around establishing, enhancing, and diversifying partnerships between research entities/teams and regional stakeholders, with the goal of pinpointing local needs and devising a strategy to address them in our Phase 2 WM LPIP agenda. We were committed to making strides in tackling 'wicked problems', which were notoriously difficult due to their intricate and interwoven nature, alongside more straightforward issues where the prospects for communities and locales could be swiftly elevated. This record contains data from 1) mapping sub-regional administrative data in the West Midlands and 2) sub-regional workshops in the West Midlands with key stakeholders and community members.

The key objective for the Phase 1 West Midlands LPIP (WM LPIP) bid is to develop a full-fledged Phase 2 LPIP proposal focused on the West Midlands ITL 1 region concerned with delivering a programme of activity that supports inclusive and sustainable local growth. In doing so we will build on the successes of the West Midlands Regional Economic Development Institute (WMREDI) partnership and the policy-engaged research activities of our university partners across the West Midlands.

Our emphasis in Phase 1 is on building, strengthening and diversifying partnerships between research organisations/ teams and local stakeholders in order to identify local priorities and formulate a plan for addressing them in our Phase 2 WM LPIP work programme.

Our ambition is to make inroads towards tackling 'wicked problems' that are challenging to address because of their complex and interconnected nature, as well as more straightforward challenges where the prospects for people and places can be improved more quickly.

www.insight.hdrhub.org/about-us

Background: Diabetes mellitus affects over 3.9 million people in the United Kingdom (UK), with over 2.6 million people in England alone. More than 1 million people living with diabetes are acutely admitted to hospital due to complications of their illness every year. Cardiovascuar disease is the most prevalent cause of morbidity and mortality in people with diabetes. Diabetic retinopathy (DR) is a common microvascular complication of type 1 and type 2 diabetes and remains a major cause of vision loss and blindness in those of working age. This dataset includes the national screening diabetic grade category (seven categories from R0M0 to R3M1) from the Birmingham, Solihull and Black Country DR screening program (a member of the National Health Service (NHS) Diabetic Eye Screening Programme) and the University Hospitals Birmingham NHS Trust cardiac outcome data.

Geography: The West Midlands has a population of 5.9 million. The region includes a diverse ethnic, and socio-economic mix, with a higher than UK average of minority ethnic groups. It has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of diabetes, physical inactivity, obesity, and smoking.

Data sources:
1. The Birmingham, Solihull and Black Country Data Set, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom. They manage over 200,000 diabetic patients, with longitudinal follow-up up to 15 years, making this the largest urban diabetic eye screening scheme in Europe. 2. The Electronic Health Records held at University Hospitals Birmingham NHS Foundation Trust is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and 100 ITU beds. UHB runs a fully electronic healthcare record for systemic disease.

Scope: All Birmingham, Solihull and Black Country diabetic eye screened participants who have been admitted to UHB with a cardiac related health concern from 2006 onwards. Longitudinal and individually linked with their diabetic eye care from primary screening data and secondary care hospital cardiac outcome data including • Demographic information (including age, sex and ethnicity) • Diabetes status • Diabetes type • Length of time since diagnosis of diabetes • Visual acuity • The national screening diabetic screening grade category (seven categories from R0M0 to R3M1) • Diabetic eye clinical features • Reason for sight and severe sight impairment • ICD-10 and SNOMED-CT codes pertaining to cardiac disease • Outcome

Website: https://www.retinalscreening.co.uk/

This data set includes all Permaculture projects in the UK. It was produced by Jeremy Kidwell as a part of a research project “Finding Common Ground” that was jointly funded by the AHRC/ESRC (Grant Ref: AH/P005063/1) and based jointly at the University of Edinburgh and the University of Birmingham. Because it is derived from the Permaculture UK website, this data has been made available for academic use under the same (i.e. “sharealike”) Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license. For full details, see: http://creativecommons.org/licenses/by-sa/3.0/legalcode.

The files required to replicate the results of our manuscript entitled "A method for measuring human body composition using digital images" have been uploaded here. This includes the data dictionary, code, and de-identified data.