Learn best practices and essential features to look out for when evaluating scientific data management systems for life science research. Topics covered will include security/compliance considerations, ontologies, automated data pipelines and more. This video will help you:
- Keep scalability as a key consideration when planning your data management needs
- Plan for efficiently loading your data while preserving data integrity
- Focus on the accessibility of your data from compliance and security perspectives
- Use ontologies/controlled vocabularies to describe and connect your data
- Determine the system connectivity you need for further analysis of your research data
