198 · Representative Documents: Data Needs Assessment
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
A Data Planning Checklist
http://libraries.mit.edu/guides/subjects/data-management/checklist.html
Manage Your Data: Data Management: Subject Guides: MIT Libraries
http://libraries.mit.edu/guides/subjects/data-management/checklist.html[7/22/13 12:58:22 PM]
Help Yourself :Subject Guides
Data Management and Publishing
Home
Why Manage
Your Data?
Data Planning
Checklist
What is Data?
Evaluate Your
Data Needs
Funding
Requirements
Data
Management
Plans
Writing an NSF
Data
Management
Plan
Documentation
and Metadata
File Formats
Organizing
Your Files
Backups and
Security
Sharing Your
Data
Citing Data
Data
Integration
Ethical and
Legal Issues
Workshops
Guides to Data
Management
Managing
Research Data
101 (PDF)
Inquiries?
Related
Guides:
A Data Planning
Checklist
Managing your data
before you begin
your research and
throughout its life
cycle is essential to
ensure its current
usability and long-
run preservation and access. To do so, begin with a planning
process. See also our page on data management plans.
1. What type of data will be produced? Will it be reproducible?
What would happen if it got lost or became unusable later?
2. How much data will it be, and at what growth rate? How
often will it change?
3. Who will use it now, and later?
4. Who controls it (PI, student, lab, MIT, funder)?
5. How long should it be retained? e.g. 3-5 years, 10-20
years, permanently
6. Are there tools or software needed to
create/process/visualize the data?
7. Any special privacy or security requirements? e.g., personal
data, high-security data
8. Any sharing requirements? e.g., funder data sharing policy
9. Any other funder requirements? e.g., data management
plan in proposal
10. Is there good project and data documentation?
11. What directory and file naming convention will be used?
12. What project and data identifiers will be assigned?
13. What file formats? Are they long-lived?
14. Storage and backup strategy?
15. When will I publish it and where?
16. Is there an ontology or other community standard for data
sharing/integration?
17. Who in the research group will be responsible for data
management?
Faculty Successes:
"I've had thousands
of downloads of my
published data--I am
impressed that it's
been so useful to
others!"
Esther Duflo, Abdul
Latif Jameel Professor
of Poverty Alleviation
and Development
Economics, MIT
For advice on a data
management
project, contact:
data-
management@mit.edu
Courtney Crummett
Bioinformatics and
Biosciences Librarian
Anne Graham
Civil and
Environmental
Engineering, Building
Technology Librarian
Katherine McNeill
Social Science Data
Services &Economics
Librarian
Daniel Sheehan
Senior GIS Specialist
Amy Stout
Electrical Engineering
and Computer
Science Librarian
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
A Data Planning Checklist
http://libraries.mit.edu/guides/subjects/data-management/checklist.html
Manage Your Data: Data Management: Subject Guides: MIT Libraries
http://libraries.mit.edu/guides/subjects/data-management/checklist.html[7/22/13 12:58:22 PM]
Help Yourself :Subject Guides
Data Management and Publishing
Home
Why Manage
Your Data?
Data Planning
Checklist
What is Data?
Evaluate Your
Data Needs
Funding
Requirements
Data
Management
Plans
Writing an NSF
Data
Management
Plan
Documentation
and Metadata
File Formats
Organizing
Your Files
Backups and
Security
Sharing Your
Data
Citing Data
Data
Integration
Ethical and
Legal Issues
Workshops
Guides to Data
Management
Managing
Research Data
101 (PDF)
Inquiries?
Related
Guides:
A Data Planning
Checklist
Managing your data
before you begin
your research and
throughout its life
cycle is essential to
ensure its current
usability and long-
run preservation and access. To do so, begin with a planning
process. See also our page on data management plans.
1. What type of data will be produced? Will it be reproducible?
What would happen if it got lost or became unusable later?
2. How much data will it be, and at what growth rate? How
often will it change?
3. Who will use it now, and later?
4. Who controls it (PI, student, lab, MIT, funder)?
5. How long should it be retained? e.g. 3-5 years, 10-20
years, permanently
6. Are there tools or software needed to
create/process/visualize the data?
7. Any special privacy or security requirements? e.g., personal
data, high-security data
8. Any sharing requirements? e.g., funder data sharing policy
9. Any other funder requirements? e.g., data management
plan in proposal
10. Is there good project and data documentation?
11. What directory and file naming convention will be used?
12. What project and data identifiers will be assigned?
13. What file formats? Are they long-lived?
14. Storage and backup strategy?
15. When will I publish it and where?
16. Is there an ontology or other community standard for data
sharing/integration?
17. Who in the research group will be responsible for data
management?
Faculty Successes:
"I've had thousands
of downloads of my
published data--I am
impressed that it's
been so useful to
others!"
Esther Duflo, Abdul
Latif Jameel Professor
of Poverty Alleviation
and Development
Economics, MIT
For advice on a data
management
project, contact:
data-
management@mit.edu
Courtney Crummett
Bioinformatics and
Biosciences Librarian
Anne Graham
Civil and
Environmental
Engineering, Building
Technology Librarian
Katherine McNeill
Social Science Data
Services &Economics
Librarian
Daniel Sheehan
Senior GIS Specialist
Amy Stout
Electrical Engineering
and Computer
Science Librarian
