Repository · FAIRsharing · for any subject
figshare Plus
any kind of data
Figshare Plus is a generalist, subject-agnostic repository created specifically to support large datasets (over 20GB, up to many TBs) and large files sizes. It is a repository where you can make any type of data or other output of your research publicly available and associate it with related publications and research projects. Figshare Plus offers data deposit as a one-time Data Publishing Charge (DPC) to share the datasets and materials supporting a specific publication or project.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.2c2e53)
- Subjects: Subject Agnostic
What is known per question
The questions of the decision tree, with what FAIRsharing says about this repository. ✓ supported, ✗ excluded, ? not known. Your own answers are marked.
What kind of data do you want to archive?
- ✓ Spectra
- ✓ Crystal structures
- ✓ Computational chemistry
- ✓ Catalysis
- ✓ Compounds and reactions
- ✓ Bioassays and chemical biology
- ✓ Materials and polymers
- ✓ Images and microscopy
- ✓ Something else
Subjects: Subject Agnostic
Does the journal or publisher you publish with require or recommend a repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which discipline does your data belong to?
FAIRsharing has no information on this.
Which publisher?
FAIRsharing has no information on this.
Does your funder have requirements for where data is archived?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which funder?
FAIRsharing has no information on this.
Does your institution offer a data repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which institution?
FAIRsharing has no information on this.
Can your data be shared openly?
- ✓ Yes, openly available
- ? Yes, after an embargo
- ✗ Only with restrictions
Data access: open: Fully open access via the Figshare Open API
Data deposition: controlled: Figshare Plus offers data deposit as a one-time Data Publishing Charge (DPC) to share datasets and materials supporting a specific publication or project of 20GB+ up to 10TB and/or single files up to 5TB (up to 1,000 files per dataset). The data shared must be the researcher's own scholarly work that they have the right to distribute under the chosen license and not contain sensitive information.
How large is your dataset?
- ? Less than 1 GB
- ? 1 GB to 50 GB
- ? 50 GB to 1 TB
- ? More than 1 TB
FAIRsharing has no information on this.
Why can the data not be open?
- ? It contains personal data
- ? Commercial or intellectual property reasons
- ? Safety or security concerns
- ? A data sharing agreement limits it
FAIRsharing has no information on this.
Under which license do you want to share the data?
- ✓ CC0 / public domain
- ✓ CC BY
- ? Another open license
- ? Not decided yet
Licences: Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication; Creative Commons Attribution 4.0 International (CC BY 4.0); Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0); Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0); Open Data Commons Attribution License (ODC-BY) v1.0; NIX-specific BSD 3-clause license
Do you need a persistent identifier, such as a DOI, for citing the data?
- ? Yes, a DOI
- ? Any persistent identifier will do
- ? No
FAIRsharing has no information on this.
Must the data be stored in a specific region?
- ? In the European Union
- ? In a specific country
- ✓ No preference
Country: Australia; Canada; European Union; New Zealand; South Africa; United Kingdom; United States
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
✓ 2 of 15 in the list
Country: Australia; Canada; European Union; New Zealand; South Africa; United Kingdom; United States