About the OpenADS initiative

The Hessdalen Conference in 2024 sparked a powerful realization: the global community of UAP researchers shares a profound desire to cooperate. The energy and insightful discussions laid the foundation for a unified approach to understanding these phenomena.

Since that pivotal conference, numerous conversations with researchers worldwide have unequivocally confirmed this widespread interest in collaboration. The need for shared resources, technological exchange, and collective data analysis is clear and urgent.

In response to this clear global call, Project Hessdalen presents the OpenADS Initiative: an open platform to unite our efforts. This initiative aims to foster a worldwide network for shared knowledge, tools, and data, ultimately strengthening our collective pursuit of understanding aerial anomalies and exploring opportunities for collaborative funding.

We invite the global UAP research community to join us in shaping this collaborative endeavor.

Others work and initiatives

We have found that others have tried made similar work - to organize the UFO/UAP studies:

AURA/UPWARD

https://www.societyforuapstudies.org/aura-upward

Introducing AURA/UPWARD

This is from the Society for UAP Studies (SUAPS)

AURA (Accelerated UAP Research & Analysis) is SUAPS’s primary system for structuring how UAP research is reviewed, supported, and executed.

UPWARD is SUAPS’s synthesis layer. It ensures research doesn’t stay siloed. Instead, it gathers what individual projects produce and weaves them into a broader, evolving understanding of UAP.

UFODATA

https://ufodata.net/

– A Way Forward in UFO Science

If you know of any other - please inform us. We will contact and cooperate with these organizations.

UAP Summit

We are currently participating at the 2026 UAP Detection and Tracking Summit : Data-first methods, field findings & policy implications.

Core Goals

Establishing Cloud-Based Data Lake for Improved Data Sharing and Analytics

One core goal of this initiative is to develop and implement a cloud-based Data Lake architecture, providing members with the capability to easily and securely store, share, and analyze data.

Currently, significant amounts of valuable data reside exclusively on local computers, inaccessible to others and vulnerable to loss. By adopting a centralized cloud storage solution, we can ensure not only robust backup and data protection but also enhance the availability of data to a broader community of researchers and analysts.

Advantages of a Data Lake Approach:

Initially store raw data files, simplifying early implementation.
Easier troubleshooting due to clear separation of raw and processed data.
Reduced complexity, especially during the initial project phases.

Controlled and Responsible Data Access:

We should define clear rules for data use.
Users should agree to guidelines on:
- Responsible use.
- Data quality.
- Proper handling.
Protects data producers' interests.

Efficient Data Processing with ETL/ELT Workflows:

ETL (Extract-Transform-Load) or ELT (Extract-Load-Transform) processes
makes it easy to move data from raw storage into:
- Structured databases.
- Analytical frameworks.
- Visualization platforms.
Allows members without advanced data processing skills to effectively use data.
Encourages broader participation and collaboration within the research community.

Facilitating Knowledge and Experience Sharing on Data Collection Tools

Another important goal is to create an environment that promotes the sharing of knowledge and experience related to tools used for data collection, such as cameras, sensors, radars, and other specialized equipment.

Currently, much experimentation and development of tools are done individually, often without easy channels for sharing valuable insights. This initiative aims to bridge that gap by facilitating effective knowledge exchange among members.

Objectives for Sharing Equipment Knowledge:

Provide detailed documentation and guidance on equipment:
- Setup and configuration.
- Operation and best practices.
- Methods for extracting and managing collected data.
Encourage members to document successes, challenges, and troubleshooting techniques to build a collective knowledge base.

Balancing Open Sharing and Commercial Interests:

Establish clear agreements among members when sharing information about tools that may be commercially developed.
Support members' commercial interests by:
- Allowing controlled knowledge sharing that respects intellectual property.
- Facilitating testing and validation feedback, enhancing product reliability and market readiness.

Through structured agreements and collaborative practices, this initiative will enhance collective expertise, reduce duplication of effort, and stimulate innovation across the research community.

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