Research Data Management (RDM) is an important research skill that concerns about careful handling and organizing all types of research materials. It is part of the professional competences that you can assess, identify, and resolve relevant data management issues in research. In addition, RDM is also closely related to other components in Open Science, such as Open Access publishing, research ethics, research integrity and so on.
Research data in the field of architecture and built environment is diverse in terms of the type (content wise) and the format (digital, non-digital). Managing and publishing research data in this field is still at an early stage and requires more awareness and advocacy from the research community. This course is the starting point to understand the disciplinary insights regarding data management and provides guidance to start managing the research data.
After following the course, the participants are expected to have a good understanding on:
- Role of data management in research
- Lifecycle of research data management, including important issues at each stage
- Data management plan (DMP)
- Data publishing and archiving
- General ethical issues in doing research in architecture and the built environment
- General sensitivity and privacy concerns in research in architecture and the built environment
Short lecture, in-class demo, exercise and discussion, assignment
About the Lecturer(s)/Coach(es)
Diana Popa is the Data Steward at the Faculty of Architecture and the Built Environment, TU Delft. She has seven years of exeprience in teaching at university level and in her PhD research she focused on how trust works in the online environment.
Session 1: Monday 19 September 2022, 14.00-16.30 hrs
Session 2: Tuesday 27 September 2022, 14.00-16.30 hrs
Session 1: Monday 17 October 2022, 14.00-16.30 hrs
Session 2: Monday 24 October 2022, 14.00-16.30 hrs
How to enroll
Please send an email with your name, mail address, start date, research group and title of your research to email@example.com.
Workshop and short lecture
Number of participants
Name of lecturer(s)/coach(es)
8 - 10 hours
Graduate School credits
Twice a year