Checklist

Data Management Planning Checklist
Topic Notes
Collecting Data

What types of data will be collected or produced?

 

What consistent method will you use to collect and process data?

 

If using mobile devices to collect data or are working remotely, how will you securely transfer the data?

 

Documenting Your Work (metadata)

What tools or methods will you use to document your work?

 

What recognized standards or taxonomies will be employed in describing your data

 

Have you documented your project methodology?

 

Will project and data identifiers be assigned?

 

Managing Files

Have you established a consistent method to name your files?

 

What directory structure will you create to organize your files?

 

How will you keep track of different versions of data?

 

What formats will be used to save your data?

 

How many people will have access to data during the project? Are they all aware of the chosen management procedures?

 

Storage

Where will you store your data during the project? Will there be more than one location?

 

How much storage space will you need?

 

Where will you keep separate copies of your master files?

 

How regularly will your working data files be backed up? Where will the backup version reside?

 

Do you have personal or sensitive data which requires storage in a secure location?

 

Preservation

Where will you store your data once your project has ended?  In an institutional or discipline-specific repository? What factors affect your decision?

 

Are there legal or funding obligations concerning data preservation which must be adhered to?

 

Will your files be saved in a non-proprietary format to ensure future access?

 

How long will the data be retained?

 

Discovery/Sharing/Reuse
Will/has informed consent to share data beyond the original research project been obtained from study participants?  

Will your data be accessible and discoverable to others?

 

How and under what conditions will you share your data with others?

 

Will your data require anonymisation before sharing? If so, what methods will you use?

 

Are there legal, ethical or funding requirements prohibiting or limiting sharing your data with others? If so, what are they?