National Academics Panel Study (Nacaps) 2018 

Survey Period: Feb 18, 2019 - Jun 1, 2022 Survey Data Type: Quantitative Data

Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and lo... morengitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions entitled to award PhDs/doctorates in Germany as off 01.12.2018 were invited to a first survey. Further panel waves follow at yearly intervals. Topics of the survey are e.g. the kind and structure of doctoral studies, motives for conducting doctoral studies, the mentoring situation, working and employment conditions, plans for career paths after the doctorate, international mobility, as well as individual characteristics of respondents. By covering these topics and by considering important indicators on young scholars, the Nacaps data provide important knowledge for national reporting (e.g. the federal report on young academics called “Bundesbericht wissenschaftlicher Nachwuchs”), for local steering, as well as for numerous further stakeholders. Moreover, the data offer an opportunity to investigate scientific research questions in the field of academic careers. less

Academic Career and Family. Qualitative Inquiry of the DZHW Study WiNbus 

Survey Period: Jul 1, 2015 - Sep 1, 2015 Survey Data Type: Qualitative Data

The present study has been conducted as a sub-study of the WiNbus study “Academic Career and Family” within the scope of the project “WiNbus – An Online Panel among Young Academics in Germany” funded by the Federal Ministry of Education and Research (BMBF)... more. The partial study investigated the compatibility of professional career and family life of young academics. The study focused on how conflicts of objectives between professional and private commitment can be managed as well as on the influence of the structures of the academic system on the careers of researchers. This dual perspective on structural and actor-specific characteristics made it possible to obtain information on success or failure to integrate both aspects of life, and to identify the relevant support opportunities. less

Sustainable Working Conditions in Academia Survey (STAIRCASE Survey) 

Survey Period: Sep 15, 2023 - Aug 26, 2024 Survey Data Type: Quantitative Data

This initial release (April 2024) is a Campus Use File, intended for teaching and training purposes. For data protection reasons, it contains a limited number of variables. The Scientific Use File for research purposes is expected to be released in April 2... more026. If you are a member of the Researcher Mental Health Observatory (ReMO) project group, please contact userservice[at]dzhw.eu for project-specific data access. The dataset contains a wide range of psychological, occupational, and demographic variables from individuals working in academic environments. It includes information on psychometric scales, characteristics of the working environment, and traits of leadership personnel. Collected data includes measures of work engagement, burnout, resilience, stress and anxiety, overall wellbeing, job predictability, role clarity, perceptions of workplace safety policies, job insecurity, job control, interpersonal conflict, work-family conflict, sense of community, illegitimate tasks, work-related stress, as well as emotional and instrumental support. Leadership aspects such as leader demands, lack of care, supervisor integrity, and overall job satisfaction were also assessed. Furthermore, several characteristics of the working environment were surveyed, including the country of the main workplace, contract duration, overtime hours, time allocation for teaching, research, fundraising, mentoring, and administrative tasks, number of research outputs, opportunities for personal development, intentions to leave academia, experiences or perceptions of harassment, and frequency of meetings with supervisors. less

Eurostudent 8 

Survey Period: Apr 1, 2021 - May 31, 2024 Survey Data Type: Quantitative Data

The EUROSTUDENT project collects and analyses comparable data on the social dimension of European higher education. A wide range of topics related to students’ social and economic conditions are covered. The project strives to provide reliable and insightf... moreul cross-country comparisons. It does this through coupling a central coordination approach with a strong network of national partners in each participating country. In this way, an assessment of the strengths and weaknesses of the respective national frameworks in international comparison can be made. The main users of our findings are higher education policy-makers at national and European level, researchers in this field, managers of higher education institutions and - of course - students all over Europe. less

Organising, teaching and learning digital higher education (digihub.org) Interview data 

Survey Period: Mar 1, 2023 - Sep 30, 2023 Survey Data Type: Qualitative Data

The project "Organising, Teaching and Learning Digital Higher Education (digihub.org)" is a research project funded by the Federal Ministry of Education and Research (BMBF) and carried out by the universities of Halle-Wittenburg and Paderborn. The aim of t... morehe joint project was to empirically reconstruct the change in higher education triggered by the switch to online teaching during the Covid 19 pandemic at both an individual and organisational level. The data package made available for re-use is based on the qualitative problem-centered interviews conducted as part of sub-project 3 ‘examining teaching’ at Paderborn University with professors who have developed and implemented innovative ideas in their teaching through interaction with digital technologies. The interviews were conducted between March and September 2023 and focused on the description of teaching concepts and planned future adjustments, the motivation for teaching commitment and any role models, questions about organisational support in the implementation of teaching concepts and ideas as well as challenges and solution strategies, the understanding of ‘good teaching’ and related changes in the context of the digitalisation of university teaching. Additionaly, the extent to which changes in society as a whole have an influence on the design of teaching and which changes to improve teaching should (or should not) be made in the coming years (at their university) from the interviewees' point of view were also discussed. In addition to the 18 interviews with professors from different career levels and disciplinary cultures, the data package includes the data and methods report, the guidelines used for the survey, the transcription guide and the data protection and consent form. less

Interview Data of the DZHW Study BerBeo 

Survey Period: Nov 1, 2020 - Nov 30, 2021 Survey Data Type: Qualitative Data

The project Monotoring Appointment Procedures (BerBeo) is a research project funded by the Federal Ministry of Education and Research (BMBF) and carried out by the German Centre for Higher Education Research and Science Studies GmbH (DZHW). The project ana... morelysed (procedural) quality assurance in appointment procedures for professors at German (state) universities through officers for appointment procedures. Officers for appointment procedures are defined as persons who are responsible for the procedural quality assurance of appointment procedures for professors and – depending on the implementation of their position – may also perform other tasks to support the decision-making process in appointment matters. The data package made available for secondary use is based on qualitative expert interviews conducted with officers for appointment procedures, chairs of appointment committees and members of university leadership. The interviews, which were conducted between November 2020 and November 2021, focus on the quality assurance of appointment procedures for professors at German universities. In addition to the establishment and implementation of the types of professorial and non-professorial officers for appointment procedures to assure the quality of the procedures, the underlying understanding of quality of the respective actors and the effects of the Covid-19 pandemic on the running of the procedures were also discussed. Besides 10 interviews with officers for appointment procedures, 7 interviews with chairs of appointment committees and 7 interviews with members of university leaderships, the data package includes the interview guidelines, as well as the transcription guide, the cover letters used for field access, the data protection information and the declaration of consent to data protection. less

Quantitative sub-study of the study "VORAUS" 

Survey Period: Jan 14, 2021 - Feb 26, 2021 Survey Data Type: Quantitative Data

The BMBF-funded study ‘Further development of established quality assurance: What are the precausions and consensuses of a partially randomized selection of research projects in the scientific field?‘ was conducted from April 2019 to March 2022. The study ... moreelaborates reservations and understandings in the scientific field about partial randomization and clarifies what is currently considered scientifically adequate. For this purpose, a quantitative survey was carried out with scientists in Lower Saxony in the fields of biology, chemistry, physics as well as in engineering and history. Questions were asked about assessments and attitudes towards the peer review process, research funding and the lottery procedure. In addition to socio-demographic and job-related information, also questions were asked about experiences in the peer review process and with research proposals. Then, in the qualitative sub-study, problem-centered interviews were conducted with scientists in different status groups. This data is also available as a data package (DOI). The data package of the quantitative sub-study contains a data set with 283 cases and 115 variables. less

Pooled Data Set 10th - 21st Social Survey 1982 - 2016 

Survey Period: May 24, 1982 - Aug 31, 2016 Survey Data Type: Quantitative Data

The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. At three- to four-year intervals, a cross-section of students is surveyed on aspects of university access, structura... morel features of study, social and economic situation, including income and cost of living, employment, housing situation, and socio-demographic characteristics such as ethnic and social origin, partnership status and parenthood. The data package includes data from the core set of the 10th to 21st Social Survey (1982-2016). The twelve individual scientific use files available at the FDZ-DZHW were pooled in an complex data preparation process to form an integrated dataset, which now enables elaborate time series analysis procedures on the aspects covered. less

The Student Survey in Germany (2021) 

Survey Period: May 4, 2021 - Sep 19, 2021 Survey Data Type: Quantitative Data

"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al... more., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student population in Germany, as well as the significantly shorter tradition of the previous "best studies". The survey covered a variety of topics relating to the study situation and the different life situations of students in Germany. The content of the programme is very diverse, as the thematic focuses of the previously separate surveys were integrated. In the tradition of the Social Survey, the economic and social situation of students is analysed (Middendorff, 2022). This focus is supplemented by topics from the student survey (Multrus et al., 2017). In addition, for the first time the new study design enables comparisons between students with and without health impairments that make studying difficult (Steinkühler et al., 2023). By combining survey content in this way, cross-connections between different subject areas can be established. This data package contains the survey data from the summer semester 2021. less

Qualitative sub-study of the "VORAUS" project 

Survey Period: Aug 1, 2019 - May 31, 2020 Survey Data Type: Qualitative Data

The project "VORAUS: Further developing established quality assurance formats: Which VORreservations and consensuses does a partially randomised SELECTION of research projects encounter in the scientific field?" was funded by the BMBF from April 2019 to Ma... morerch 2022. The study investigated reservations and consensus in the scientific field regarding partial randomisation. On this basis, it was clarified what is currently considered appropriate in science. Prior to a quantitative survey on the topic, the data from which is also available as a data package (DOI: https://doi.org/10.21249/DZHW:vorausquanti:1.0.0), problem-centred interviews were conducted with scientists from different status groups in the qualitative sub-study. In a narrative part of the interviews, the interviewees were asked about their path into research. Questions were asked about their experiences with research funding, their attitudes towards ensuring scientific quality in research funding and the randomised selection of research proposals. The present data package comprises a total of 18 transcripts of six interviews each with professors, post-docs and doctoral students. less