Repository · FAIRsharing · for any subject
Repositório Maxwell - PUC-Rio (Maxwell)
any kind of data
The Maxwell Repository houses and makes available Electronic Theses and Dissertations, Senior Projects, Specialization Monographs, Learning Objects (Open and Restricted), Datasets, journals. All materials are products of the Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) community and, except for the Learning Object, all have DOIs.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.9e40ca)
- 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
Domains: Machine Learning; algorithm; cognition
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: partially open: Accesses to contents are defined by the authors according to Brazilian Law 9.610/94.
Data deposition: controlled: There is no self deposit. All contents are analyzed, described and made available by the information processing team.
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: PUC-Rio Formulário de Autorização ; Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 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: Brazil
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
? not known for the list ✗ excludes 15
Country: Brazil