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Share a brief history of your project and organization
Quasar's most notable strength lies in its deep expertise in IPFS technology. The company's core technical team has over 3 years of IPFS development experience and a thorough understanding of the principles and applications of distributed storage systems. They have leveraged IPFS to build Quasar's own data management platform, enabling fast, secure, and scalable data storage and sharing.
Bolstered by its exceptional IPFS capabilities, Quasar provides clients with a one-stop solution covering data collection, cleaning, analysis, and visualization. The company's data analysis tools are highly acclaimed for their ability to help clients uncover valuable insights hidden within their data. Quasar also offers blockchain-based data auditing and copyright management services to ensure the security and traceability of clients' data assets.
Looking ahead, Quasar will continue to focus on the research and application of IPFS and other cutting-edge technologies, striving to become a leading provider of data innovation services in Europe. Guided by client needs, the company will constantly optimize its products and services, injecting new momentum into the digital transformation of enterprises.
Is this project associated with other projects/ecosystem stakeholders?
No
If answered yes, what are the other projects/ecosystem stakeholders
No response
Describe the data being stored onto Filecoin
Founded in 1956, NRAO provides the most advanced radio telescope facilities and information to the international scientific community. Currently, https://data.nrao.edu/portal/#/ has stored 4.3PB of data.
Where was the data currently stored in this dataset sourced from
AWS Cloud
If you answered "Other" in the previous question, enter the details here
No response
If you are a data preparer. What is your location (Country/Region)
None
If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?
No response
If you are not preparing the data, who will prepare the data? (Provide name and business)
No response
Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.
No response
Please share a sample of the data
test
Confirm that this is a public dataset that can be retrieved by anyone on the Network
I confirm
If you chose not to confirm, what was the reason
No response
What is the expected retrieval frequency for this data
Yearly
For how long do you plan to keep this dataset stored on Filecoin
1 to 1.5 years
In which geographies do you plan on making storage deals
Greater China, Europe
How will you be distributing your data to storage providers
Cloud storage (i.e. S3), Shipping hard drives
How did you find your storage providers
Slack, Big Data Exchange
If you answered "Others" in the previous question, what is the tool or platform you used
No response
Please list the provider IDs and location of the storage providers you will be working with.
test
How do you plan to make deals to your storage providers
Boost client, Singularity
If you answered "Others/custom tool" in the previous question, enter the details here
No response
Can you confirm that you will follow the Fil+ guideline
Yes
The text was updated successfully, but these errors were encountered:
Version
1
DataCap Applicant
Quasar
Project ID
Quasar-1
Data Owner Name
National Radio Astronomy Observatory
Data Owner Country/Region
China
Data Owner Industry
Life Science / Healthcare
Website
https://data.nrao.edu/portal/#/
Social Media Handle
https://data.nrao.edu/portal/#/
Social Media Type
Slack
What is your role related to the dataset
Data Preparer
Total amount of DataCap being requested
4PiB
Expected size of single dataset (one copy)
800TiB
Number of replicas to store
5
Weekly allocation of DataCap requested
512TiB
On-chain address for first allocation
f14upg5eq7bevexm6pesc6al5pcbbofdvilolwwui
Data Type of Application
Public, Open Dataset (Research/Non-Profit)
Custom multisig
Identifier
No response
Share a brief history of your project and organization
Is this project associated with other projects/ecosystem stakeholders?
No
If answered yes, what are the other projects/ecosystem stakeholders
No response
Describe the data being stored onto Filecoin
Where was the data currently stored in this dataset sourced from
AWS Cloud
If you answered "Other" in the previous question, enter the details here
No response
If you are a data preparer. What is your location (Country/Region)
None
If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?
No response
If you are not preparing the data, who will prepare the data? (Provide name and business)
No response
Has this dataset been stored on the Filecoin network before? If so, please explain and make the case why you would like to store this dataset again to the network. Provide details on preparation and/or SP distribution.
No response
Please share a sample of the data
Confirm that this is a public dataset that can be retrieved by anyone on the Network
If you chose not to confirm, what was the reason
No response
What is the expected retrieval frequency for this data
Yearly
For how long do you plan to keep this dataset stored on Filecoin
1 to 1.5 years
In which geographies do you plan on making storage deals
Greater China, Europe
How will you be distributing your data to storage providers
Cloud storage (i.e. S3), Shipping hard drives
How did you find your storage providers
Slack, Big Data Exchange
If you answered "Others" in the previous question, what is the tool or platform you used
No response
Please list the provider IDs and location of the storage providers you will be working with.
How do you plan to make deals to your storage providers
Boost client, Singularity
If you answered "Others/custom tool" in the previous question, enter the details here
No response
Can you confirm that you will follow the Fil+ guideline
Yes
The text was updated successfully, but these errors were encountered: