Research Data Services @ Fondren

Main site: https://library.rice.edu/places/research-data-services 

• Rice Digital Scholarship Archive Policies and Procedures  
• Sharing Data
• Sharing Research Data via the Rice Digital Scholarship Archive
• Submission Form for Rice Research Datasets,  https://library.rice.edu/requests/submit-your-dataset 

Describing Datasets

• Research Data Management metadata application profile
• Simplified Public Data application profile (google doc)

Submission guidelines

Collection for Rice Research Data, https://scholarship.rice.edu/handle/1911/77660

Datasets should be:
1) complete, as in final versions
2) 100MBs or less in size
3) Freely or open for reuse (e.g. should use one of the "sharable" licenses, PDDL, CCO or CC BY)

Learn more about Copyright Statements:

Open Data Commons Public Domain Dedication and License (PDDL)
Creative Commons License - Public Domain (CC0)
Creative Commons License- Attribution (CC BY)

README files

Best practice is to include a README file with your dataset.

When uploading ZIP and other archive files, please consider including a manifest file to describe the contents (e.g. a readme text file) within the archive file. For suggestions on creating a manifest/readme file, please see

Cornell University’s Guide to Writing "readme" Style Metadata or Dryad’s guidance on readme files for datasets.

Uploaded files should be no larger than 100 MB.

Alternative option for students or research in-progress is https://figshare.com/features

See alternative repositories: Assessing Cross Disciplinary Data Repositories (google spreadsheet)