Workshop: Strategies for Data Science and Data Management

Data Management for Collaborative Research Projects: Common Challenges and Solutions

Not scheduled

20m

Poster Posters

Speaker

Ms Maureen Nabatanzi (uni-bonn)

Description

Background
Scientific research often involves collection, storage, analysis and reporting large amounts of multi-disciplinary and multi-site data. Data should be findable, accessible, interoperable, and reusable.
We present common obstacles and propose solutions.
Challenges
- Infrastructure for real-time collection and sharing across networks
- Maintaining privacy of open access data among primary and secondary
users
- Need for training in inter-disciplinary competences e.g., Spatial data management
Solutions
- Develop and keep updated project data management plan
- Consent should disclose, short- and long-term and potential secondary users of data
- Avail inter-disciplinary trainings in spatial data management
Reference
- Wilkinson, M. et al., 2016, Sci Data 3, https://doi.org/10.1038/sdata.2016.18