Contributing Data to FaceBase
Phases of contributing your data to FaceBase
The FaceBase repository is open for data submissions from the craniofacial research community. Learn how FaceBase can assist in your data management practices throughout the lifecycle of your project:
Including FaceBase in your Data Management and Sharing (DMS) Plans (Coming Soon!)
Once your grant is approved:
As you collect data:
Advantages to contributing data to FaceBase
There are many reasons to share your data on FaceBase:
- Trust: FaceBase is a trusted resource with a long history of sharing high-quality biomedical research data.
- NIH-affiliated: FaceBase is an NIH-affiliated data repository .
- FAIR principles: We comply with FAIR principles (Findability, Accessibility, Interoperability, and Reusability) by:
- Providing access to the original source data from experiments.
- Including related protocols describing how each experiment was conducted
- Implementing a flexible system that allows as to adjust quickly to newly emerging, cutting edge data formats
- Using ontologies or controlled vocabularies whenever possible for metadata.
- Providing complex linkages between metadata and data from various datasets.
- Journal-worth citations: All data records are citable following publishers' best practices. Datasets provide publication-grade Digital Object Identifiers (DOI) and every data record provides formatted data citations (per publisher recommendations) and the ability to export citations into reference managers (e.g., EndNote). See How to Cite Us for more details.
- Visualizations: Depending on the data types, pipelines automatically generate 2D and 3D visualizations and plots from source files.
- Link to external sources: Integrate with data deposited in other sources like GEO and dbGaP and provide more complete metadata to comply with FAIR principles, improve transparency and reusability, etc.
- Annotate your 2D images: Annotatations can provide citable images for presentations and publications. They can also be excellent educational resources.
- Personal support: Once your data is approved, the Hub will meet with you to hold a tutorial specifically for your data and guide you through the submission and curation process.
- Embargo your data: Upload and curate your data, but then keep it embargoed until your paper is published or until you are ready to release your data.
Upload early and often: To improve your submission experience, we encourage you to upload data and keep it embargoed while you’re gathering your data, so you don’t have to do it all in one push at the end. Learning about our data model and the organization used for data upload can help your lab organize your files so that the process is easier and faster. So feel free to reach out to the FaceBase Hub at email@example.com even before you start gathering your data.