Repository · FAIRsharing · for any subject
eCommons
any kind of data
eCommons is a service of the Cornell University Library that provides long-term access to a broad range of Cornell-related digital content of enduring value. Content types include: pre- and post-publication papers, technical reports, theses and dissertations, books, lectures and presentations, datasets, digital departmental newsletters, administrative reports, compilations of University data, and meeting agendas and minutes. Content produced by others but of research and/or teaching value may also be appropriate for eCommons. Such material is normally solicited, collected, or identified by Cornell faculty, researchers, staff, and students, who then arrange all necessary clearances needed to deposit the material. Examples of such content include: datasets, electronic books and multimedia, presentations given at Cornell events, digitized research materials.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.N0nNXm)
- Subjects: Computer Science, Data Management, 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: Computer Science; Data Management; 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: partially open: Cornell-licensed content cannot be accessed by unaffiliated individuals.
Data deposition: controlled: Only Cornell University members can submit digital content to eCommons.
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 4.0 International (CC BY 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: United States
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
✓ 1 of 15 in the list ✗ excludes 14
Country: United States