exRNA Atlas

data

The exRNA Atlas is the data repository of the Extracellular RNA Communication Consortium (ERCC). The repository includes small RNA sequencing and qPCR-derived exRNA profiles from human and mouse biofluids. All RNA-seq datasets are processed using version 4 of the exceRpt small RNA-seq pipeline (Rozowsky et al., 2019) and ERCC-developed quality metrics are uniformly applied to these datasets.

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Digital Object Assessments (4)


Assessment Metrics
Rubric Project   NIH program name is available for querying NIH project name is available for querying The institution that created this dataset is available A biological assay is present and resolvable in CFDE-specified ontology (OBI) A relevant anatomical part is present and resolvable in the UBERON Ontology A relevant disease is present and resolvable in the MONDO Ontology A relevant file type is present and resolvable in the EDAM Ontology A relevant taxonomy is present and resolvable in the NCBITaxon Ontology A relevant cell line is present and resolvable in the Cellosaurus Ontology A landing page exists and is accessible A standardized ID or accession number is used to identify the dataset. The dataset is described with metadata using a formal, broadly applicable vocabulary. Information is provided on the experimental methods used to generate the data. The dataset is hosted in an established data repository, if a relevant repository exists. The dataset can be downloaded for free from the repository. Version information is provided for the dataset. Contact information is provided for the creator(s) of the dataset. Information is provided describing how to cite the dataset. Licensing information is provided on the datasetÂ’s landing page. The structure of the repository permits efficient discovery of data and metadata by end users. The repository uses a standardized protocol to permit access by users. The repository provides contact information for staff to enable users with questions or suggestions to interact with repository experts. Tools that can be used to analyze each dataset are listed on the corresponding dataset pages. The repository maintains licenses to manage data access and use. The repository hosts data and metadata according to a set of defined criteria to ensure that the resources provided are consistent with the intent of the repository. The repository provides documentation for each resource to permit its complete and accurate citation. A description of the methods used to acquire the data is provided. Version information is provided for each resource, where available. Globally unique identifier Machine-readable metadata Standardized metadata Resource identifier in metadata Open, Free, Standardized Access protocol Digital resource license Metadata license Do the Data repository use any Identifiers? Do the repository have metadata records/files describing the data? In which format data is described with metadata? Does data repository is registered in any Registry? Does the structure of the Repository allow discovery of data and metadata by end user? Does Data repository uses any protocol to allow access by user? Does the data repository provide public API? Do the data repository provide versioning information of datasets? Does Data repository uses Title for the data resource in Data?
The FAIRshake repository rubric exRNA: CFDE Fairness Assessment
                                      yes (1.00) yes (1.00) yes (1.00) yes (1.00) nobut (0.25) yes (1.00) yes (1.00) yes (1.00) yes (1.00)                                
NIH Common Fund Data Ecosystem (CFDE) FAIR Rubric exRNA: CFDE Fairness Assessment
yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yesbut (0.75) yes (1.00) yesbut (0.75) no (0.00) yes (1.00)             yes (1.00)                       yes (1.00) yes (1.00) no (0.00) yes (1.00) yes (1.00) no (0.00) no (0.00)                  
Findable and Accessible FAIR Principles for Research Data Repositories exRNA: CFDE Fairness Assessment
                                                                      yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00) yes (1.00)
The FAIRshake dataset rubric exRNA: CFDE Fairness Assessment
                    yes (1.00) yes (1.00) yes (1.00) yesbut (0.75) yes (1.00) yes (1.00) yes (1.00) yes (1.00) nobut (0.25)