There are 3 ways to get data files into Figshare: through the API, by importing an entire repo from Github, or by uploading from your local storage.

Add data files

1. If you have very large files (> 100 GB ea), or many files to upload, please contact SI-RDM at SI dot EDU to arrange upload via the API.
   
   
2. If you have code, data, or related research outputs in Github that you'd like to publish as a zipped repository on Figshare,
   login, and under My data click on the Octocat icon next to the Create a new item button. 
   
   If you haven't already connected your Figshare account, but you are logged into GitHub, it will prompt you to authorize Figshare and enter your GitHub password. 
   1.  
   2. check the box next to the repo you want to import. Once a green check mark appears next to the title of the repo, you're ready to add a description for it in figshare.
   3. click the green Add info link 
   4. fill in the metadata fields as you normally would.
3. Most of the time you will just, log in and under My data click the + Create a new item button. The metadata editing window will come up. 
   
   

Describe your data

No matter how you upload data, you will need to fill in all the required metadata fields.

1. Title - Please compose a meaningful and intelligible title.
   If the data are for a specific paper/article published elsewhere, best practice is to preface the title with Dataset: followed by either part or all of the paper title of the paper.
    Fighsare will automatically use the filename of the first file you upload as the title. ick!
2. Authors - you can add authors by typing in their names or pasting in an ORCID. If your co-authors are not using ORCIDs in their Figshare profiles, please give them a hard time about it.
   1. typing in the author name does a search of the entire Figshare author corpus. Be careful to confirm that the name you choose is in fact your co-author!
   2. That's why using ORCID is recommended.
3. Categories - one minimum. Figshare uses the Australian and New Zealand Standard Research Classification (ANZSRC) Fields of Research (FOR) codes.
4. Keywords - up to you.
5. Description - you can reuse your data abstract, if you have one, here. If you don't have an abstract, now is a great time to write one!
6. License - the default for SI is CC BY NC, which is appropriate for SI assets (images, video) or datasets that have been analyzed and contain significant intellectual EFFORT besides just the raw data.
   1. Feel free to use the CC0 license if your data is raw or the data is from a (US) Federally funded project or if you (or the primary author) is a Federal employee.
   2. If you are uploading code, please choose the Apache 2.0 license.
      
      

Publish now

If you are ready to publish, check the box next to Publish (at the bottom of the screen) and hit Save changes.

Publish later

If you are not ready to publish, you can:

1. Apply an embargo on the file(s) or both the files and metadata. You will be prompted to enter the period of embargo and a reason for why your data is being embargoed.
2. Make files confidential before publishing.  The metadata will be public, but the file won't be. 
3. Keep the data private (i.e., not published) and reserve a DOI. You can reserve a DOI with the above options as well.
   

 Remember: figshare is for making your data public! embargoes, confidential files, and private items should be temporary.

Handy comparison of terms and what they mean

 What's the deal with the Private Link? if you choose "Generate private link" in the item editing window, anyone ANYWHERE with that link will be able to view your files regardless of their publishing status. You can disable this link by editing the item and clicking the red x next to Generate Private link.

 Use Private Link SPARINGLY.

• Page:
  Edit or delete data files and metadata
• Page:
  Move data into figshare
• Page:
  Publish