# Publishing your FIP
Your completed FIP questionnaire should include:
- Your community nanopub,
- The ORCID for the community data steward,
- All questions completed.
To publish your FIP follow these steps:
1. Click **Documents** (top menu bar).
2. Click **New Document** (blue button, right side of upper menu bar).
3. Be sure to set **Nanopublication Template** and **RDF TriG** to get a machine-readable output.
4. Click **Create**.
5. If no error appears you can submit the FIP by clicking on the **three dots**.
6. Choose **Nanopub Server**.
7. Click on **view submission**.
You will see the created FIP index nanopub (18)

If you want to get a human-readable output (19) you could choose as document template:
I. **Questionnaire Report** which gives you the options to create PDFs or Word documents
II. **FIP Spreadsheet** to get CSV or Excel files (20)


If an error appears (21), you should be aware that all questions must have explicit answers: Some questions may have **null** answers, i.e., declarations that no choice was made.

By choosing **HTML Preview** of the **Nanopublication Template** (in **Settings** - 22) you can see in **Preview mode** the question that needs revision (23).


Error messages can flag possible issues such as:
- Missing FAIR Implementation Community
- Missing or wrong style of ORCID
- Missing answer
- Wrong answer (providing text instead of a nanopublication)
- For some question(s), you did not select a resource
- For some question(s), you did not select the replacement resource (when option b is selected)
- For some question(s), the considerations field was left empty
All the nanopublications representing your FIP - i.e., the FIC, the many FERs, and the index nanopub (indeed, all the semantic triples) - will be stored in a dedicated triple store and are available via a [SPARQL endpoint](https://virtuoso.nps.petapico.org/sparql).
To get a matrix of all created FIPs, called FIP Matrix (24) download the [new_matrix.csv](https://github.com/peta-pico/dsw-nanopub-api/blob/main/tables/new_matrix.csv).
