Key Principles

Understand the foundational principles guiding the Indigenous Data Network, including Indigenous Data Sovereignty and responsible data governance practices.

Clear principles are essential to ensure Indigenous Data is used in ways that deliver collective benefit and respect cultural authority.

In Australia, Indigenous Data refers to information or knowledge, in any format or medium, which is about and may affect Indigenous peoples both collectively and individually.

Indigenous data governance refers to the principles, practices, and systems by which Indigenous communities exercise control over the collection, ownership, management, and use of data that is considered relevant to them. It recognises the unique rights, interests, and needs of Indigenous peoples regarding their data and aims to ensure that data is collected, stored, and utilised in a manner that respects their self-determination, cultural values, and sovereignty.

Indigenous data governance sets the foundations for data democracy at the community level, supporting Indigenous access, generation, and use of data.

The Indigenous Data Network aims to empower Indigenous communities by ensuring their data rights are respected and upheld across all sectors, and by driving the nationwide acceptance and implementation of Indigenous Data Governance (IDG) in Australia. The network aims to develop and adopt governance frameworks and technical approaches that integrate Findable, Accessible, Interoperable, and Reuseable (FAIR) data principles with the Collective Benefit, Authority to Control, Responsibility, and Ethics (CARE) principles identified within the open data movement.

FAIR and CARE graphic

Image credit: GIDA

CARE Principles

The CARE principles, developed by the Global Indigenous Data Alliance (GIDA), reflect the crucial role of data in advancing Indigenous innovation and self-determination. They ensure that data movements, like the open data movement, whatever they advocate and pursue, respect the people and purpose behind the data.

FAIR Principles

In 2016, the FAIR Guiding Principles for scientific data management and stewardship were published in the open-access journal, Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.

The FAIR principles refer to three types of entities: data, metadata, and infrastructure, and are set out in full on the GO FAIR website.

The Indigenous Data Network acknowledges the Aboriginal and Torres Strait Islander Traditional Custodians of the lands on which we work and live. We pay respect to their Elders, past and present, and the place of Indigenous Knowledge in the academy and beyond. We acknowledge and respect that Aboriginal and Torres Strait Islander people have always used resources from the land and waters for nourishment, medicine and healing.