Share your research data with the academic community. CUEBES supports various data formats with proper licensing and citation support.
Why Share Datasets?
- Reproducibility - Others can verify and build on your work
- Citations - Datasets can be cited independently
- Collaboration - Enable others to reuse your data
- Compliance - Meet funder and journal requirements
- Impact - Increase the reach of your research
Supported Data Types
- Tabular - CSV, Excel spreadsheets
- Text - Plain text, JSON, XML
- Images - Research images, microscopy
- Audio/Video - Recordings, multimedia data
- Genomic - Sequence data, FASTA files
- Geospatial - GIS data, maps
- Time Series - Temporal data
- Archives - ZIP, TAR.GZ for multiple files
Uploading a Dataset
Step 1: Create Dataset
Go to Datasets and click "Upload Dataset".
Step 2: Add Metadata
- Title - Descriptive name for your dataset
- Description - What the data contains and how it was collected
- Data type - Select the appropriate category
- Keywords - Help others find your data
- Related publication - Link to associated papers
Step 3: Upload Files
- Drag and drop or click to upload
- Multiple files are supported
- Large files may take time to upload
Step 4: Choose a License
Select how others can use your data:
| License | Attribution | Commercial Use | Modifications |
|---|---|---|---|
| CC0 | Not required | Allowed | Allowed |
| CC BY | Required | Allowed | Allowed |
| CC BY-SA | Required | Allowed | Share-alike |
| CC BY-NC | Required | Not allowed | Allowed |
| ODC-BY | Required | Allowed | Allowed |
Step 5: Set Visibility
- Public - Anyone can access
- Platform - CUEBES users only
- Project members - Specific project team
- Private - Only you
Dataset Size Limits
| Tier | Max Datasets | Max File Size |
|---|---|---|
| Free | 3 | 100 MB |
| Pro | Unlimited | 1 GB |
| Team | Unlimited | 5 GB |
Dataset Citation
Each dataset gets a citable reference. Example:
Author, A. (2024). Dataset Title [Data set]. CUEBES Research. https://cuebes.eu/research/datasets/xxxxxBest Practices
Documentation
- Include a README file explaining the data
- Document column headers and variables
- Describe data collection methods
- Note any preprocessing applied
File Formats
- Use open formats when possible (CSV over Excel)
- Include original files alongside processed versions
- Compress large datasets (ZIP, GZIP)
Privacy
- Remove personally identifiable information
- Check IRB/ethics requirements
- Consider embargo periods if needed