[Allocator Application] <Shenyang Dongya Medical Research Institute Co.>< SDMR> PR #75

martapiekarska commented 4 months ago

Allocator Application

Application Number

recvmuY09rObs0NHa

Organization Name

Shenyang Dongya Medical Research Institute Co.

Organization On-chain Identity

f1hyqz2misaxpnwbnvlipz2kd32ibk2tlhymbhgqy

Allocator Pathway Name

SDMR

Github PR Number

75

Region of Operation

Asia minus GCR,Europe,Greater China Region,North America,South America,Oceania

GitHub ID

Hunter3576

On-chain address

I have a multisig I want to provide now

Type of Allocator

Similar to existing allocator pathways

Filecoin Community Agreement

As a member in the Filecoin Community, I acknowledge that I must adhere to the Community Code of Conduct, as well other End User License Agreements for accessing various tools and services, such as GitHub and Slack. Additionally, I will adhere to all local & regional laws & regulations that may relate to my role as a business partner, organization, notary, allocator, or other operating entity Acknowledge

Type of Allocator and RFA List

Manual - Existing similar diligence pathway

Allocator Description

https://github.com/MikeH1999/RFfil/issues/6

Contributions to EcosystemBuild better data onboarding pathway,Onboard >10PiBs of Data,Data Stewardship: Curate and provide high-quality datasets to be stored on the Filecoin network, enhancing the overall value and utility of the network.,Host or sponsor community events such as meetups, hackathons, conferences, FilDev summits etc,Develop Open-Source Tools

Monetization and Fee structure

Client fees,None.

Target Clients

Web3 developers,Nonprofit organizations,Commercial/Enterprise,Individuals,Open/Public

Client Diligence Check

3rd party Know your business (KYB) service,3rd party Know your customer (KYC) service,Automated deterministic,Client promise/attestation,Manual verification,NDA with additional verification,Proof of provenance

Description of client diligence

In order to ensure the authenticity of customer information, we will verify customer information through the following contents, and assign special personnel to continuously follow up and verify after allocating DataCap

Browse the official website of the customer company to view the company's history, news, ecology and products.
Check the customer's third-party media updates, such as Twitter and Slack's social media accounts. We will observe the activity of the account and Github usage period.
Query the enterprise information website of the customer's country/region
We will require our customers to provide business license, establishment documents, public registration information and relevant certificates.
Our customers will be asked to provide government issued ID card or passport information.

Type of data

Private encrypted with on-chain deal pricing,Public, open, and retrievable,Proof of concept, network utilities

Description of Data Diligence

We will ask our customers to provide stored sample data for review to confirm whether the data is open, stored content is legal, valid and insensitive.
Do not violate the laws, anti laws and regulations of the country and region where you are located and the regulations of the Filecion community,Customers with serious violations will be blacklisted by us.
Whether the total amount of data replicas is consistent with the application, and whether the backend screenshot or S3 bucket display is available
Does the data have storage value, such as its contribution to humanity, society, and so on

Data Preparation

Singularity

Replicas required, verified by CID checker

3+

Distribution required

Equal distribution of deals across regions

Number of Storage Providers required

3+

Retrieval Requirements

Public data highly retrievable over Spark.

Allocation Tranche Schedule TypeManual or other allocation schedule.

50TiB for the first time, 10% for the second time, 20% for the third time, 30% for the fourth time, and 40% for the fifth time

Will you use FIDL tooling, such as allocator.tech and other bots?

Yes, all available tools

GitHub Bookkeeping Repo Link

https://github.com/Hunter3576/SDMR

Success metrics

Number of clients,Amount of data onboarded, daily & aggregate,Retrievability of data,Number of returning client customers,Speed of allocations (TTD),Ecosystem marketing/comms

Timeline to begin allocating to clients

1 week from RKH approval

Funnel: Expected DataCap usage over 12 months

100-200PiB

Risk mitigation strategies

For a signature wallet, use a hardware wallet (Ledger) to manage it. The hardware wallet is kept by the team, and the signature is completed by the manager who reviews the customer's application

Dispute Resolutions

When receiving a dispute request, record the request within 72 hours. Ensure that all relevant details and evidence are recorded for subsequent processing. Conduct investigation and analysis to understand the background and reasons for the dispute. This may involve communicating with relevant parties, collecting evidence and data, and conducting necessary due diligence. Based on the results of investigation and analysis, make a fair and reasonable decision. Ensure that your decisions comply with relevant compliance requirements and policies. Maintain transparency and actively communicate with relevant parties throughout the entire processing process. Explain your decision-making basis and process, and provide necessary information and support. If the dispute involves other notaries or Fil+governance teams, provide necessary support and cooperation. Follow the guidelines and procedures of the FIL+governance team to resolve disputes.

Compliance Audit Check

Based on the current robot report, first exclude necessary conditions such as CID sharing, number of copies, and repetition rate Conduct regular audits to check if the storage usage of each customer matches the allocated DataCap. During the audit process, compare the actual usage and allocation to ensure that customers do not exceed or abuse them

Compliance Report content presented for audit

Success metric: Proof of Payments from clients,Success metric: onchain report of data onboarded,Success metric: onchain data report,Client Diligence: Client statements, client provided verification,Client Diligence: Legal Review documents,Client Diligence: Financial Audits and Credit Check reports,Client Diligence: KYC/KYB report on clients,Data Compliance: Proof of provenance report,Data Compliance: Data Samples,Data Compliance: Manual report,Compliance: CID report,Client/Data Compliance: external third-party audit .

Connections to Filecoin Ecosystem

Storage provider,Event sponsor,Big data contributor

Slack ID

U05LPA27T8V

Hunter3576 commented 4 months ago

Hi, when will the review start?

Kevin-FF-USA commented 2 months ago

Hi @Hunter3576 Wanted to let you know this application has been received, thank you for submitting to become an Allocator in the Filecoin Plus Program. How did you hear about Fil+?

Since there are over 40 current DataCap pathways available and running for applicants to request DataCap currently, we are prioritizing onboarding applications that are implementing systems other than Manual. When this application starts you will be contacted via email and here in this issue for next KYC and onboarding steps.

Please join us on the next call, would love to hear more and answer any questions you may have. https://docs.google.com/presentation/d/1Ek0TO9AzhLKQLFoFPsIUwKSY7Wp9N0Gefwdb-wU_c34/edit?usp=drive_link

Every other Tuesday (03Sep) Call 1: 0900 pdt /1600 utc Call 2: 1900 pdt / 0200 utc (next day) https://calendar.google.com/calendar/embed?src=c_k1gkfoom17g0j8c6bam6uf43j0%40group.calendar.google.com&ctz=America%2FLos_Angeles

Hunter3576 commented 2 months ago

Hi @Kevin-FF-USA Sorry it took so long to get back to you.

I learned about fil+ in 2023 and managed to store data to SP in 2024

I hope to attend the next meeting.

Kevin-FF-USA commented 1 month ago

Hi @Hunter3576

One of the scoring mechanisms for pathways is their ability to onboard quality data to the network. Given your existing clients, suggesting a proposal to help establish your ability within the ecosystem to serve as an Allocator performing MANUAL diligence.

Proposal Bring one of your clients into the ecosystem with an Existing Allocator Pathway. Establish that you have real clients and can maintain the diligence standards of this application. Demonstrate that to the community as the ability and value to onboarding this new Manual Pathway.

Steps

Work with any existing Allocator to create an application on behalf of your client. FIDL runs an enterprise Allocator if you were looking for a pathway with existing support in place to help with questions.
Once the data is onboarded, reply back to this application with the following
1. Client ID
2. Links to the DataCap Application
3. Spark retrieval %
4. Verification that the Data reached the targeted number of SP's
5. What the data type was

Onboarding Once the ability to onboard clients through the application process has been verified, this application will receive a KYC check and begin onboarding as an Allocator to onboard clients directly.

For questions or support

There is a live Filecoin Plus Program call every two weeks. Calendar link is here. Or as always please tag us in issue for comment or update.

Hunter3576 commented 1 month ago

https://github.com/MikeH1999/RFfil/issues/43

HI @Kevin-FF-USA This is the medical data I have stored under the RFfil , you can check it out, thanks!

Kevin-FF-USA commented 3 weeks ago

Hi @Hunter3576,

If you've taken a client through with RFfil, Once the data is onboarded, reply back to this application with the following

Client ID
Links to the DataCap Application
Spark retrieval %
Verification that the Data reached the targeted number of SP's
What the data type was

Hunter3576 commented 2 weeks ago

Client ID

Hunter3576

Links to the DataCap Application

https://github.com/MikeH1999/RFfil/issues/43

Spark retrieval %

SP's retrieval rate has been unstable, I also contacted mike has been assisting in communication and has been improving the retrieval rate issue with SP

Verification that the Data reached the targeted number of SP's

What the data type was

Healthcare

Hunter3576 commented 2 weeks ago

@Kevin-FF-USA Thanks

filecoin-project / Allocator-Governance