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ACCELERATING RESEARCH WITH COLLABORATIVE INTELLIGENCE

NODE X FOR RESEARCH

The Node X program provides free and subsidized resources to support data-centric research organizations.

Node X is an extension of the
Collaborative Intelligence Network (CIN), our global infrastructure initiative.

COLLABORATIVE INTELLIGENCE PLATFORM

The Node X program provides free Dataware software that enables unlimited end users and connected systems to collaborate on data to build unlimited solutions.

Dataware decouples data from individual solutions, eliminates copy-based data integration, and supports meaningful ownership for data stakeholders.

The Node X program at the Data Collaboration Alliance leverages Dataware platform technology.

GROW A RESEARCH NETWORK,
NOT SILOS

Leading organizations like TD Bank, the Mozilla Foundation, and YMCA use Dataware to drive digital transformation and build Collaborative Intelligence.

Dataware supports a network-based architecture which eliminates the need to create data silos from the digital solution delivery process

Dataware supports a network-based architecture which reduces legacy silos and eliminates new silos from the digital solution delivery process

FEDERATE PROBLEM-SOLVING

Dataware software supports the Zero-Copy Integration framework

Dataware software supports the Zero-Copy Integration framework 

This is a data-centric approach to digital solution delivery that supports "composable" designs with embedded data ownership.

NEXT-GEN DATA PRIVACY

Researchers use Dataware technology to eliminate operational spreadsheets, database silos, and copy-based data integration. The result is research teams who empowered with universally-enforced controls:

  • Access 

  • Custodianship

  • Portability

  • Deletion (right to be forgotten)

NODE X FOR RESEARCHERS

Research partners self-manage their node on-premise or via cloud hosting infrastructure.

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Included:

Dataware platform

Unlimited datasets

Unlimited end users

Unlimited solutions


Training support

COMMUNITY SUPPORT

Node Zero community for Node X partners

Node X research teams are invited to join the Node Zero community of data-centric problem solvers.

WHO SHOULD APPLY

UNIVERSITIES

Departmental and multi-organizational teams.

NONPROFITS

Global charities and nonprofits / nonprofit groups.

CORPORATES

Corporate For Good labs and innovation programs.

PRE-REQUISITES

Hosting (on prem or cloud)

SQL server license

Data mapping skills  

Data modelling skills  

SQL skills 


Initial project(s)

NODE X INQUIRY
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Select all that describe your (intitial) desired outcomes

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FREQUENTLY ASKED QUESTIONS

General

Does this support No-Code / Low-Code delivery?


Yes. No-code is a software development approach that requires few, if any, programming skills to quickly build an application. This allows people who have the necessary organizatonal and governance knowledge and understand the business requirements for a digital solution, but lack knowledge of programming languages, to create digital solutions such as a form, workflow, or website, or add functionality to an existing solution.

A core element of Dataware (and the Zero-Copy Integration framwork which it leverages) is the "data-centric" approach which replaces complex code with Active Metadata and "Transient Data Models" which can be build via drag and drop using familiar query building interaces. As a result, Dataware can be said to support a No Code approach.

That said, Dataware can interoperate with Low Code and Pro Code platforms and replace solution-specific databases and access controls in these situations.




What is Zero-Copy Integration?


Zero-Copy Integration is an emerging national and international standard that advocates the following core tenets:

Decouple data from applications
Access-based collaboration over copy-based integration Govern and manage data as a product (Data Mesh) Enforce controls at the data layer Create metadata-driven experiences Design for solution modularity / composability




Is this a Graph Database?


No. Dataware architecture is comprised of a network of Autonomous Datasets which are organized and governed within Data Domains (aka Data Mesh approach).

Each node combines the best capabilities of relational and graph representations but exceeds the performance of either.

A Graph Database is a siloed database and is not formed by of an interconnected network of linked datasets.





Is this a Data Fabric or Data Virtualization?


No. Dataware is used to host, control, and operationalize physical (but un-copied) data and supports a data persistence layer that can support multiple real-time analytics, systems, and apps.

By contrast, Data Virtualization technology is based on a distrubuted query and is used for anlytical projects only.

Dataware does include connectors to facilitate a "last copy integration" from pre-existing data silos (e.g. spreadhseets, Data Lakes, Data Warehouses, app-specific databases) onto the network and this capability could be described as an "Operational Data Fabric"
These connectors are bi-directional and can be used to facilitate the exchange of data between silos and Dataware.

A greenfield organization or project team with no legacy data silos to connect would be able to avoid this pattern entirely.