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In brief, to share data, you must register your study and the data you intend to share, upload the data to a private workspace in the Synapse data sharing platform, and annotating the data, and releasing the data. Please read the Overview: How to Share Data guide for step by step instructions.

I haven’t published my findings yet, why do I need to upload my data?

During the embargo period (defined in your Data Sharing Plan and/or funder contract, see Overview: How to Share Data ), data will only be available to your research team, NF-OSI data curation/support staff at Sage Bionetworks, and project manager(s) from the funder of your project. During this embargo period, all data in your Synapse project will have publicly-visible metadata, but the data itself will remain private. This means that portal users can see metadata terms that indicate type of data is being generated by your project, but they cannot download and use the data. In other words: this allows you to privately “stage” your data and report progress to your funders, without fear of others using it before you’ve had an opportunity to publish your findings.

Will I lose my ability to patent an invention or otherwise protect my intellectual property by uploading data toy Synapse?

We recommend you consult with your funder and your institution’s intellectual property experts to ensure that you are sharing data in compliance with the requirements of your institution as well as the requirements of your contract with your funder; we are not able to provide guidance on this.

What does annotation, or annotating your data, mean?

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In Synapse and the NF Data Portal, annotations live alongside files. Rather than being in the file itself, these annotations are surfaced in Synapse and the NF Data Portal to allow people looking for data to easily search and filter data by the annotation values.

Please read the How to annotate your dataAnnotate Data guide to learn how to annotate your data.

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• The Attribute column lists all NF-OSI terms: concepts (like dataType) and values for those concepts (like geneExpression).

• The Description column provides a definition for each Attribute.

• The Valid Values column lists all of the terms that are allowed for concepts listed in the Attribute column.

• The remaining columns are out of the scope of this FAQ, but are documented in detail here.

My experiment “failed” - do I still need to share the data?

It depends - if “failed” means no difference was observed, then yes. Negative results are valuable to the field, and it may be helpful to people in the future who are considering doing the same or similar experiment.

If “failed” means that the results are unusable or uninterpretable and you plan to re-try the experiment (for example: an in vitro cancer cell line-based assay was contaminated with yeast), then no, it generally is not worth sharing the raw data for these experiments.