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pdfNCBI 2019 CLOUD SERVICES FEEDBACK SURVEY
OMB Control Number: 0925-0648
Expiration Date: 05/31/2021
Public reporting burden for this collection of information is estimated to average 2 minutes per response, including the time for
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aspect of this collection of information, including suggestions for reducing this burden, to NIH, Project clearance Branch, 6705
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1. CHECK ALL THAT APPLY IN THE FOLLOWING STATEMENTS
I (and my team) currently:
¨ Work with non-human data in the cloud on the following platforms:
¨ AWS ¨ GCP ¨ Azure other __________
¨ Work with human data in the cloud on the following platforms:
¨ AWS ¨ GCP ¨ Azure other __________
¨ Plan to start working in the cloud within the next 12 months.
2. NCBI is planning additional cloud-based data services to complement the Sequence Read Archive. Rank your
likelihood to use the following data services in the next 12 months.
(1=MOST INTERESTED, DELIVER IT NEXT, 2= SECOND PREFERENCE, …. , 9=LEAST INTERESTING.)
_________
BLAST cloud service e.g. with an opportunity to build and search private custom
databases that include your local sequence data.
_________
SRA sequence search e.g. to find accessions similar to a query string perhaps 1+
kilobases in length.
_________
SRA metadata query e.g. using BigQuery or other cloud-native database query tools to
generate worklists of SRA accessions for downstream processing.
_________
GenBank / RefSeq e.g. quickly retrieving sequence data and annotations for large
datasets.
_________
dbSNP annotations e.g. to mark-up VCF genotype files containing genomic coordinates
and alleles with dbSNP functional and allele frequency information.
_________
ClinVar e.g. to filter human called variants into subsets according to their clinical
significance and validation properties.
_________
dbGaP genotype data e.g. as VCF file objects for use in cloud-based analysis workflows.
_________
dbGaP phenotype data e.g. queried as observations via FHIR service.
_________
Other (specify): __________________________________________________
File Type | application/pdf |
File Title | Microsoft Word - 2019_NCBI_STRIDES_cloud_user_interest_survey.docx |
File Modified | 2019-10-02 |
File Created | 2019-09-23 |