OSINT & Analysis of Publicly Available Data

Public sources · research · structured data

OSINT & Analysis of Publicly Available Data

From fragmented information to structured data and verifiable connections.

I systematically search for, process and analyse publicly available information through Open-Source Intelligence (OSINT). I combine research and analytical work with the development of custom tools and technologies for working with structured data.

I focus on connecting information from public registers, court decisions, insolvency databases, public procurement systems and other open sources. This includes identifying and matching entities across databases, analysing their relationships and finding connections that may not be apparent from individual records.

Data modelling and tools

From diverse sources to linked data

Publicly available information is often scattered across unrelated databases, documents and information systems. Sources differ in structure, terminology, identifiers and record quality. Comparing them therefore requires both research and systematic data processing and reconciliation.

For this purpose, I design data pipelines covering information acquisition, assessment, cleaning, normalisation and transformation into consistent data structures.

I use relational databases, RDF, SPARQL and Wikibase to create linked data models that combine information from different sources, identify shared entities and enable analysis of their relationships.

The result is unified, structured and interconnected data, which can be searched, analysed, visualised and reused. Preserving links to original sources is an essential part of the process, so that individual findings can be verified later.

OSINT research and custom analytical tools

My work brings together two complementary areas:

Research and analysis

Searching for public information, identifying entities, comparing records across databases, mapping relationships and evaluating the connections found.

OSINT tool development

Programming custom solutions for acquiring, cleaning, matching and structuring data, automating repetitive tasks and creating databases for advanced querying and analysis.

This combination makes it possible to approach OSINT as a systematic process, beyond a one-off investigation. Its results can be continuously expanded, updated and used in further analysis.

Transparency and verifiability

I emphasise traceability of information, transparency of sources and reproducibility of analytical methods. I distinguish between verified facts, probable matches and hypotheses that require further investigation.

I do more than find information. I connect and structure it, looking for relationships that are not immediately apparent in individual sources.

Source transparency · Entity identification · Database linking · Verifiable conclusions

Practical experience

Research databases from public records

In my own research project on non-bank lending and related legal cases, I connect public records, including information from the insolvency register. I transform heterogeneous documents into structured data, reconcile identities and look for recurring relationships and practices. The database itself is not public because it contains personal data and information about legal proceedings.