- Needs Analysis: Tailored evaluation of application-specific requirements to ensure selected data aligns with project objectives.
- Dataset Scouting: Comprehensive search for open datasets or those available through specialized, agreed-upon channels.
- Technical Verification: Rigorous assessment of data formats, licensing terms, and metadata quality to ensure “AI-ready” status.
- Documentation Guidance: Expert advice on data documentation standards and evaluating the potential for long-term data reuse.
Key Value: Streamlining the critical data discovery phase by providing curated access to validated, legally compliant datasets tailored to specific domain needs.
Practical example
Finding specialized data that meets technical and legal standards is often a major bottleneck.
This service facilitates, among other activities:
- AgriTech Forecasting: Identifying and accessing curated climate and satellite datasets, such as Copernicus, AgERA5, and Sentinel, for yield prediction.
- Cybersecurity Research: Recommending high-value sources for vulnerability and network traffic data, including CVE and MITRE ATT&CK datasets.
- Strategic Access: Providing technical guidance on update frequencies and access protocols for critical external data repositories.
Case Study: An AgriTech startup seeks climate and satellite data to train predictive models. The service provides a curated list of relevant datasets, including Sentinel and AgERA5, and guides the team through format and access requirements to ensure the data is model-ready.
