Data Reuse project has received funding from VolkswagenStiftung
Dr. Maie Stein and Prof. Dr Hannes Zacher have received 100.000 Euro in funding from VolkswagenStiftung to prepare and make openly available a unique large-scale longitudinal dataset for broad reuse by others.
The dataset comes from a study conducted within the Momentum program “The Role of Work in the Development of Civilization Diseases” funded by VolkswagenStiftung and includes data from a large sample of employees in Germany, collected at 54 measurement points over five years. Data collection was conducted before, during, and after the COVID-19 pandemic and the dataset encompasses various measures and constructs, such as demographic and employment characteristics, personality traits, health and well-being, job attitudes, and work characteristics.
The project team includes Maie Stein, Hannes Zacher and Richard Janzen from the Chair of Work and Organizsational Psychology at Leipzig University, as well as Cort W. Rudolph from Wayne State University in Detroit, USA.
The official project start is expected in May 2025, and the project will run for two years.
In the Data Reuse project, comprehensive documentation of the dataset will be created to enable other researchers to easily understand and use the data for their purposes. Additionally, the project will include several measures to increase the data’s reach and impact, such as merging the dataset with archival data on the COVID-19 pandemic, publishing a data descriptor, and hosting workshops for both researchers and practitioners.
There are various potential use cases for the dataset. For example:
- Researchers in the field of health psychology and public health can investigate the predictors of various health outcomes
- In personality and human development research, the dataset allows for exploration of trajectories of personality traits and work experiences.
- For researchers focused on aging and lifespan development, the dataset is well-suited for studying age-related phenomena, such as healthy aging and retirement intentions.
- In the fields of economics and sociology, researchers can examine trends in the labor market, such as job stability and career mobility.
Moreover, the dataset presents an excellent opportunity for simulation, teaching, and learning purposes. Due to its intensive longitudinal structure, it can be used to develop case studies, conduct practical data analysis exercises, and foster a deeper understanding of the research process. Practically, the dataset can provide valuable insights to inform policymakers and public health officials about the effects of the interventions implemented during the pandemic and improve future crisis management.
