Knowledgebase and repository · FAIRsharing
Omics Discovery Index (OmicsDI)
The Omics Discovery Index (OmicsDI) provides dataset discovery across a heterogeneous, distributed group of Transcriptomics, Genomics, Proteomics and Metabolomics data resources, including both open and controlled access data resources. The resource provides a short description of every dataset, including accession, description, sample/data protocols biological evidences, and publication. Based on these metadata, OmicsDI provides extensive search capabilities, as well as identification of related datasets by metadata and data content where possible. In particular, OmicsDI identifies groups of related, multi-omics datasets across repositories by shared identifiers.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.re1278)
- Subjects: Data Integration, Genomics, Life Science, Metabolomics, Proteomics, Transcriptomics
Documentation, events and training
TeSS Events (3)
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: Data Integration; Genomics; Life Science; Metabolomics; Proteomics; Transcriptomics
Domains: Data identity and mapping
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: Programmatically accessible using RESTful API.
Data deposition: controlled: Requires formal primary archive submission with OmicsDI major partners.
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: EMBL-EBI Terms of Use
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: China; European Union; United Kingdom
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
Country: China; European Union; United Kingdom