Documentation
Everything you need to understand the Data Abyss platform — its data model, core capabilities, and analytical workflows.
Overview
Data Abyss is a competitive intelligence platform that aggregates open-source research data, funding records, and affiliation networks to surface strategic insights about scientific and technological competition.
The platform indexes publications, researchers, organisations, awards, and technology keywords, then connects them into a queryable knowledge graph that analysts can explore through search, visualisations, and AI-assisted workflows.
Core Capabilities
Publication Intelligence
Search, filter, and analyse tens of millions of academic publications. Identify prolific authors, track citation trends, assess dual-use risk scores, and surface extreme-risk research at the frontier.
Network Intelligence Workspace
An interactive force-directed knowledge graph. Seed a network from a publication, author, organisation, keyword, or award, then expand nodes step-by-step to reveal hidden relationships across the research ecosystem.
Strategic Competition Analysis
A purpose-built competition mode that cross-maps research activity against organisational affiliations, funding sources, and technology clusters. Identify competitive threats and emerging capability gaps.
Affiliation & Organisation Profiles
Detailed intelligence dossiers for universities, research institutes, and companies — including publication volume, keyword fingerprints, co-authorship networks, and funding histories.
People Intelligence
Researcher profiles enriched with publication histories, risk scores, affiliated organisations, co-author networks, and award records.
Elliot — AI Analyst
An embedded large-language-model assistant pre-loaded with platform context. Ask Elliot to summarise a domain, explain a publication, or draft a strategic assessment.
Data Model
The platform is built around six interconnected entity types. Every entity carries a unique identifier, descriptive metadata, and a set of cross-links to related entities.
Publication
doi
string
Digital Object Identifier — globally unique publication key.
title
string
Full title of the paper or report.
year
number
Publication year.
risk
number
Dual-use risk score in the range 0 – 100.
topAffiliations
string[]
Lead affiliated organisations.
topAuthors
string[]
Primary contributing authors.
topKeywords
string[]
Technology and topic keywords extracted from the abstract.
Author
id
string
Platform-internal author identifier.
name
string
Researcher full name.
string
Contact or institutional email (when public).
affiliations
string[]
Known institutional affiliations.
publicationCount
number
Total indexed publications.
Affiliation
id
string
Platform-internal affiliation identifier.
name
string
Organisation display name.
country
string
ISO country code.
type
string
Category: university | company | government | other.
keywords
string[]
Dominant research technology keywords.
Keyword
keyword
string
Technology or topic string — used as the primary key.
publicationCount
number
Number of publications carrying this keyword.
relatedKeywords
string[]
Co-occurring technology terms.
Award
funder_award
string
Funder award identifier.
funder_name
string
Primary funding agency name.
funders
string[]
All contributing funding agencies.
titles
string[]
Grant or project titles.
authors
string[]
Recipient researchers.
affiliations
string[]
Affiliated institutions.
years
string[]
Award years.
publication_count
number
Number of linked publications.
dois
string[]
DOIs of linked publications.
keywords
string[]
Research keywords.
How to Use the Platform
Start with a Search
Use the Publications, People, or Organisations search to find entities of interest. Apply filters for country, year range, risk score, or keyword to narrow results.
Explore an Entity Profile
Click any result to open its intelligence dossier — a structured summary of key facts, related entities, and analyst signals. From here you can pivot to related authors, affiliations, or keywords.
Launch the Network Graph
Open Network Intelligence from the Capabilities menu and seed the graph with an entity from your search. Expand nodes iteratively to map the surrounding research network.
Apply a Mode Filter
Switch between Network, Competition, Organisation, and Technology modes in the graph header. Each mode adjusts the default data API and expansion behaviour.
Consult Elliot
Click the Elliot assistant button on any page to open the AI analyst. Ask for a summary, a risk assessment, or a strategic briefing based on your current context.
Export or Share
Use the export controls within search results and dossiers to copy data, share links, or download structured records for downstream analysis.
Network Intelligence Workspace
Seeding the Graph
Type any name, keyword, DOI, or organisation into the search bar at the top of the graph workspace. The platform retrieves matching entities and places them as seed nodes at the centre of the canvas.
Node Expansion
Right-click (or long-press on touch) any node to expand it. Choose an expansion type — Publications, Authors, Affiliations, Keywords, or Awards — to grow the graph with directly connected entities.
Node Types & Colours
Publication nodes are amber (#f59e0b). Author nodes are green (#10b981). Affiliation nodes are indigo (#6366f1). Keyword nodes are cyan (#06b6d4). Award nodes are pink (#ec4899).
Selecting a Node
Click any node to open the intelligence dossier panel on the right. For publication nodes this shows the full metadata dossier including risk score, top authors, affiliations, and keywords.
Graph Modes
The mode chip-bar in the header switches between Network (general exploration), Competition (rivalry mapping), Organisation (affiliate discovery), and Technology (keyword clustering) modes. Modes adjust the default search API and expansion seed.
Publications Intelligence
Search & Filtering
Full-text search across titles and abstracts. Filter by year range, country of origin, affiliated institution, risk score band, and keyword. Combine multiple filters using AND logic.
Risk Scoring
Each publication carries a dual-use risk score from 0 to 100 computed from keyword signals, funding sources, and affiliation country risk bands. High-risk publications are flagged with an indicator icon.
Intelligence Dashboard
Above the results list, the Publications page displays a metrics strip (total results, average risk, year distribution) and intelligence panels for top affiliations, authors, and keywords in the result set.
Publication Dossier
Each publication detail page shows the full intelligence dossier — DOI, abstract, risk score, top authors, affiliated organisations, and related keywords — alongside quick-pivot links to related entities.
Strategic Intelligence Features
Extreme Risk Flagging
Publications and authors with risk scores above the 95th percentile are surfaced in dedicated 'Extreme Risk' panels. These records warrant additional analyst review before inclusion in assessments.
Funding Intelligence
Award and grant records are cross-linked to publications and authors, enabling analysts to trace research output back to government funding programmes and identify state-directed research priorities.
Technology Cluster Mapping
Keyword co-occurrence analysis surfaces clusters of related technologies emerging within a result set. Use Technology mode in the graph workspace to visualise these clusters interactively.
Affiliation Risk Bands
Organisations are tagged with country risk classifications derived from public policy frameworks. Affiliation-level risk is propagated to associated publication and author risk scores.
Competitive Mapping
Strategic Competition mode in the graph workspace overlays rivalry relationships between organisations active in the same technology domain, drawing on co-publication and co-funding signals.