Data61

E850676
CSIRO business unit data science organisation research organisation

Data61 is an Australian national data science and digital innovation research organization within CSIRO, focused on advanced analytics, cybersecurity, and emerging technologies.

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All labels observed (1)

Label Occurrences
Data61 canonical 1

Statements (46)

Predicate Object
instanceOf CSIRO business unit ⓘ
data science organisation ⓘ
research organisation ⓘ
abbreviation Data61 NERFINISHED ⓘ
collaboratesWith Australian government agencies NERFINISHED ⓘ
Australian universities ⓘ
industry partners ⓘ
country Australia ⓘ
field artificial intelligence ⓘ
cybersecurity ⓘ
data science ⓘ
digital innovation ⓘ
emerging technologies ⓘ
machine learning ⓘ
focus advanced analytics ⓘ
cybersecurity research ⓘ
data-driven innovation ⓘ
digital economy ⓘ
government collaboration ⓘ
industry collaboration ⓘ
public sector digital transformation ⓘ
formedByMergerOf CSIRO Digital Productivity Flagship NERFINISHED ⓘ
NICTA NERFINISHED ⓘ
hasOfficeIn Adelaide NERFINISHED ⓘ
Brisbane NERFINISHED ⓘ
Canberra NERFINISHED ⓘ
Melbourne NERFINISHED ⓘ
Perth NERFINISHED ⓘ
Sydney NERFINISHED ⓘ
headquartersLocation Sydney NERFINISHED ⓘ
locationCountry Australia NERFINISHED ⓘ
mission to create Australia’s data-driven future ⓘ
operatedBy Commonwealth Scientific and Industrial Research Organisation NERFINISHED ⓘ
parentOrganisation CSIRO NERFINISHED ⓘ
regionServed Australia ⓘ
researchArea autonomous systems ⓘ
blockchain ⓘ
computational law ⓘ
cyber-physical systems ⓘ
data-driven decision making ⓘ
privacy-preserving analytics ⓘ
robotics ⓘ
smart infrastructure ⓘ
scope national ⓘ
sector public research ⓘ
website https://www.data61.csiro.au/ ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: Data61
Description of subject: Data61 is an Australian national data science and digital innovation research organization within CSIRO, focused on advanced analytics, cybersecurity, and emerging technologies.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Gerwin Klein → employer → Data61 ⓘ