Project Name:
Athena Data Brokerage Project
Grant Category & Funding Request:
| Category | % of Total |
[Unleash Data] - 15 %
|[Outreach] |- 75%|
[Core Tech] - 5%
[ Total Funding] - 3,000$
Proposal in 1 Sentence:
A data brokerage who’s primary objective is to drive inflows of data and datasets to the ocean platform through the development of partnerships with data producers and data scientists, while spreading awareness through professional networking and social media.
Description, what problem is it meant to solve:
[ Unleash Data ] [ Outreach ]
Ocean is in dire need of quality datasets, and not just a few, but many and often. And not just any old data, but useful , valuable, desirable data as well. Information is all around us, just waiting to be aggregated and distilled into usefulness. OCEAN brought the power of the platform, so that Athena could bring wisdom to the people.
DTC marketing brands, non-profit research collectives, independent data scientists analysts and
developers are all prime examples of those who don’t yet understand the power that OCEANprotocol has to commodify their data and enable their work in ways previously unimagined. That is where Athena comes in. We want to help show the power of the ocean platform to those who may not be ready right now, in order to hasten the day that they will open an OCEAN wallet of their own.
We seek to provide tailored partnerships with data providers coupled with expert curation of quality data assets and machine learning models. develop a network flow of quality data for a diverse range of applications from marketing optimization, to ML modeling, to scientific research and exploration.
Data Provider: is here used to describe any entity which is the source of data that Athena either brokers, or aggregates. examples below.
- Digital Marketing Firms
- Non-Profit Research Initiatives
- Independent Data Scientist
- Data Engineers & Developers
Grant Deliverable’s:
[Core Technology]
- R&D IPNS / IPFS repository management application which makes use of a similar UI to that of Qri.cloud for file versioning , file package structure, and automated data transformation’s.
[Unleash Data]
- Data Asset Project Roadmap
- test dApp hosted marketplace using an ICP cannisters
[Outreach]
- Create an educational Social media presence in the data science and machine learning domain across Medium, Linkedin, and Twitter as well as web3 social platforms in order to establish partnerships a brokerage of high quality machine learning ready data assets
- Publish professionally written articles highlighting use cases for oceanprotocol.
- Host social media engagement challenges with prize giveaways.
- Reach a followership of 500 combined users across media outlets within the first month.
Final Product:
Athena will establish itself as a broker of data using OceanProtocol with a presence in professional data science and machine learning communities, Athena will coordinate the aggregation and publication of quality data assets while working closely with dApps native to the platform to encourage mutual growth and success with the intention of building a dApp for data brokers to manage their accounts and assets. Athena will help onboard new users to the ocean platform through outreach and education and will work to increase
Value Added:
We will be increasing the volume of quality data hosted on the platform while at the same time growing awareness and spreading education on the use of the Ocean ecosystem dApps like those currently in development by DataSwap, and DataOnshore., DataWhale and others. We will be creating audiences in the data science/ engineering and non profit research sectors while driving the creation of valuable data assets that establish ocean as well known tool for machine learning developers.
Eventually Athena will build its own dApp for the management and curation of data sets and sources with integrations designed to enable future data brokers, or will partner with an existing dApp for the creation of such tools. We will do the hard work of introducing the oceanprotocol to those communities that most need and least understand it while bringing in demand data to the marketplace.
Metrics:
Assets Published , TVL, Active Users.
- Viability: This project can only fail if I do, but I learn from failure and respond to it quickly, so no it will not fail. The mission is one of equity and information. It will be accomplished.
Wallet Address:
0x9F67E932b35658657A81C1511a0f5221Ae59098f
Project Members:
Role: Project Lead
Name: Timothy L Carter, United States.
Background: Environmental Data Scientist
Location: Denver, Colorado.
Email: info@athenaequity.io
Role: Head of Tokenomics
Name: Steven Miller
Location: Pennsylvania - Unites States.
Background: Market Analyst
Email: bandanasteve@athenaequity,io
website: you guessed it… athenaequity.io
Previous Grants:
We have not received any grants from the project so far.
Which channels will be used? For how long? E.g. “twitter, for 8 weeks”. Other details?
| Platform | Weeks | Content |
|---|---|---|
| 6+ | Engagement Contests | |
| Medium | 6+ | Professional Articles |
| Distrikt | 6+ | Professional Networking |
| Dsocial | 6+ | Educational Material |
| Youtube | 6+ | Educational Material |
| 6+ | Professional Networking |
Which Ocean-powered data market will data be published on?
We plan to publish our data directly to the OceanMarketplace as well as to partner with relevant marketplaces like dexFreight whenever possible. Athena’s goal is to increase both data publication, and data consumption in the long term and will work to host its data assets wherever with OCEAN partners whenever possible.
–
I wanted to reference this earmark specifically, for at the start we are networking as the earmark suggests, and then will be exploring these listed integrations.
( a reference to the core tech earmark that inspired our proposal to begin with )
"First-class integration plus community engagement with data science tech communities. Any of the following: HuggingFace, eLeuther, fastAI, OpenMined, TensorFlow and variants, PapersWithCode, Scikit-learn, Anaconda, OpenML, Kaggle, or (any other similar - please suggest to us!). Example for scikit-learn: imagine “import sklearn.ocean”. USPs: provenance of data & compute for scientific reproducibility and GDPR, private compute on open datasets, sell algorithms and keep them private (on open data), and ultimately an “Ocean” of all datasets & algorithms (possible with incentives)."
edited for typo’s-1/1/22
edited-1/2/22 added email contact
edites-1/4/22 refined deliverables
