Knowledgebase · FAIRsharing · for any subject
Framework for Open and Reproducible Research Training - Curated Resources (FORRT Curated Resources)
any kind of data
FORRT is a Framework for Open and Reproducible Research Training which is advancing research transparency, reproducibility, rigor, and ethics through pedagogical reform and meta-scientific research. FORRT provides a pedagogical infrastructure and open educational resources designed to support the teaching and mentoring of open and reproducible science. This record is for the curated resources database crowdsourced by the FORRT community and hosted at https://forrt.org/resources/
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.70662a)
- Subjects: Education Science, Research on Teaching, Learning and Training, 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: Education Science; Research on Teaching, Learning and Training; Subject Agnostic
Domains: Reproducibility; Resource metadata
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
Data deposition: open: There is an invitation to contribute on the main resource webpage: 'If you notice there is an educational resource, research article or pedagogical tool missing in our database, please consider adding it below in our on submission form or directly into a separate g-forms.'
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 Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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: Worldwide
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
Country: Worldwide