[DataCap Application] -International Neuroimaging Data-Sharing Initiative (INDI)

Version

DataCap Applicant

Swift-scouts

Project ID

Data Owner Name

Child Mind Institute

Data Owner Country/Region

Afghanistan

Data Owner Industry

Life Science / Healthcare

Website

http://fcon_1000.projects.nitrc.org/

Social Media Handle

http://fcon_1000.projects.nitrc.org/

Social Media Type

Slack

What is your role related to the dataset

Data Preparer

Total amount of DataCap being requested

5PiB

Expected size of single dataset (one copy)

1Pib

Number of replicas to store

Weekly allocation of DataCap requested

1000TiB

On-chain address for first allocation

f1spl5es7vrgs6q2nqzoyenlkgaosk2eej33lpkai

Data Type of Application

Public, Open Dataset (Research/Non-Profit)

Custom multisig

[ ] Use Custom Multisig

Identifier

No response

Share a brief history of your project and organization

We are a data processor with hundreds of storage machines and a 5G bandwidth computer room in Hong Kong that can process large amounts of data.

Is this project associated with other projects/ecosystem stakeholders?

Yes

If answered yes, what are the other projects/ecosystem stakeholders

No response

Describe the data being stored onto Filecoin

This bucket contains multiple neuroimaging datasets that are part of the International Neuroimaging Data-Sharing Initiative. Raw human and non-human primate neuroimaging data include 1) Structural MRI; 2) Functional MRI; 3) Diffusion Tensor Imaging; 4) Electroencephalogram (EEG) In addition to the raw data, preprocessed data is also included for some datasets. A complete list of the available datasets can be seen in the documentation lonk provided below.

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)

Hong Kong

If you are a data preparer, how will the data be prepared? Please include tooling used and technical details?

The data we use is downloaded from the aws cloud, packaged to a suitable size using tar, and converted to a car file using boostx.

If you are not preparing the data, who will prepare the data? (Provide name and business)

no

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.

f02096851 Indonesia
f02828509 Korea
f02812781 Vietnam
f02886019 Canada
f02843151 Turkey

Please share a sample of the data

aws s3 ls --no-sign-request s3://fcp-indi/

Confirm that this is a public dataset that can be retrieved by anyone on the Network

[X] I confirm

If you chose not to confirm, what was the reason

No response

What is the expected retrieval frequency for this data

Sporadic

For how long do you plan to keep this dataset stored on Filecoin

2 to 3 years

In which geographies do you plan on making storage deals

Greater China, Asia other than Greater China, Africa, North America, South America

How will you be distributing your data to storage providers

Cloud storage (i.e. S3), HTTP or FTP server, IPFS, Shipping hard drives

How did you find your storage providers

Slack, Filmine, 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.

f02096851 Indonesia
f02828509 Korea
f02812781 Vietnam
f02886019 Canada
f02843151 Turkey

How do you plan to make deals to your storage providers

Boost client

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

TVLimited / top-value-storage