#### Problem Statement

The scientific and AI/ML communities are grappling with significant challenges related to data integrity, reproducibility, and collaboration. The reproducibility crisis in scientific research has undermined confidence in results, with a considerable number of studies failing replication attempts. In AI/ML, frequent updates, experiments, and lack of disciplined versioning exacerbate these issues, leading to unreliable models and results. Current data management systems often fail to maintain immutable traceability links between raw data, processing steps, and final outcomes, making it difficult to reproduce and verify results.

#### Solution

JiaoZiFS is a Data-Centric Version Control File System designed to address these challenges by providing a comprehensive framework for data versioning, provenance, and reproducibility. It leverages insights from software engineering and cryptographic technologies to ensure the end-to-end integrity of scientific data and AI/ML pipelines. 
For this model, Filecoin provides a needed solution by making storage affordable, preventing vendor lock-in and fostering a culture of openness. By storing research objects in a decentralized repository, it becomes possible to share the entire research object with data and code, provide versioning, and ensure reproducibility.

![DeSci Framework](https://github.com/mrrifat/jiaozifs/blob/main/docs/DeSci/framework.jpeg?raw=true)

A dataset management component creates a good separation between training data collection and consumption by defining strongly typed schemas for both, which allows data development and model algorithm development to iterate in their own loop, thus expediting the project development.

#### Roadmap and Timeline for Implementation
#### Milestone 1: System Design and Components Implementation

- **Tasks**:
    - System design and implementation for DeSci participants (researchers, institutions, and developers)
    - Develop Smart Contracts and Oracles
    - Integrate JiaoZiFS with Filecoin for decentralized storage of scientific data and models
    - Implement Proxy Re-encryption for secure data sharing
- **Timeline**: 2 months

#### Milestone 2: System Interactions for Scientific Data Upload, Auction, and Transfer

- **Tasks**:
    - Implement data upload and exchange functionalities
    - Develop assessment protocols for scientific data
    - Enable trading and payment mechanisms for data and research assets
- **Timeline**: 2 months

#### Milestone 3: Public Launch and Marketing

- **Tasks**:
    - Execute a marketing campaign targeting research institutions and scientific communities
    - Provide customer support and gather user feedback for further improvements
- **Timeline**: 1 month

#### Milestone 4: Continuous Improvement and Scaling

- **Tasks**:
    - Continuously improve the system based on user feedback
    - Expand the scope to other use cases requiring provenance and integrity of digital assets
    - Enhance customer support and maintenance services
- **Timeline**: 1 year