Research Data Management 101
Completion requirements
Read this lesson. Pay attention to the lifecycle (process) of data sets. Answer the questions in this lesson.
Data lifecycle management (DLM) is the policy or process that governs organizational data use. You learned that data management is an administrative function and DLM is a process to manage and preserve that data. Remember, good DLM includes all the phases of the data lifecycle. This is essential to data-driven decisions and actions taken by organizations daily.
Sharing & Preserving Data
Storing data: repository options
1. Domain repositories
Advantages:
- Data is stored with similar datasets (by subject, format, or both)
- Other researchers will find your data easily
- The repository will understand what your data needs in terms of storage, archiving, and preservation
- Computational/online analysis tools may be available tailored to analyzing that particular kind of data Examples:
- GenBank (for genome data)
- ICPSR (for numeric social science data)
2. Institutional repositories
Advantages:
- Linked to your institution
- You can put all your datasets together (and collocate them with publications)
- University guarantees support of Institutional Repositories
- Some Domain Repositories may "go out of business" once their funding ends
Example:
• DSpace@MIT