At a glance
- Ethical data practices must prioritise fairness, inclusivity, transparency, and respect to avoid reinforcing existing inequalities in climate adaptation.
- Transparency, consent, and community involvement are crucial in data collection and use, especially when dealing with sensitive or social-economic data, to protect privacy, respect sovereignty, and ensure adaptation efforts reflect diverse community priorities.
- FAIR principles provide essential frameworks to make data more efficient and transparent, while CARE principles focus on Indigenous data rights, governance, and cultural sensitivity to ensure collective benefit, authority, responsibility, and ethical use.
The importance of ethical use of data for coastal adaptation
Ethical use of data is fundamental to achieving fair and equitable coastal adaptation in Australia. Coastal communities require accurate data to adapt to climate change: equally important is how data is collected, interpreted, stored and applied in planning and decision-making processes. It is important that adaptation efforts do not reinforce existing inequalities or create new vulnerabilities.
Historically, adaptation planning has underrepresented several groups in society. Typically these include vulnerable communities, Indigenous communities, smaller coastal towns, and socioeconomically disadvantaged groups.
Ethical data practices can help to correct these imbalances. Below are some tips about ethical practice.
Represent and use data equitably
Ethical practice involves ensuring data collection should avoid bias in interpretation or visualisation. It also means including data from all relevant groups, including vulnerable or hard to reach groups to ensure their needs are reflected in adaptation plans.
Ethical use of data includes giving voice to community priorities. Data should not be manipulated to support pre-determined outcomes or development interests.
Transparency and accessibility
Publicly funded environmental data needs to remain openly accessible, machine-readable, and accompanied by comprehensive metadata. This enables communities, local councils, and non-governmental organisations to engage in evidence-based planning, rather than relying on inaccessible or proprietary models controlled by large agencies or private consultants.
It also also means that data (and methods and decision making) should be shared and communicated clearly for non-technical groups - including its limitations.
Informed consent and data sovereignty
Coastal adaptation planning increasingly incorporates social-economic and health-related data to identify vulnerable or marginalised populations. Misuse or careless handling of de-identified or sensitive data can harm already marginalised communities.
Australian ethical data frameworks stress the importance of not re-identifying individuals or misrepresenting community profiles, especially when using datasets from small populations or Indigenous communities. They also emphasise obtaining informed consent and respecting community control over how data is collected, stored, and shared
FAIR and CARE principles for useful and ethical data use
- about FAIR principles How to manage data
- more about CARE principles in Working with Indigenous data
how the NESP Marine and Coastal Hub applies FAIR and CARE principles for data management.
FAIR data principles
There are two commonly used sets of principles that are important to consider in management and use of data
FAIR data principles focus on making data Findable, Accessible, Interoperable and Reusable and therefore aim to improve the efficiency, transparency and reproducibility of data. However, these principles do not address power imbalances, cultural sensitivities, or Indigenous rights and interests: for these we look to the CARE principles.
CARE principles
CARE principles address the gaps in the FAIR principles in acknowledging the rights and interests of Indigenous peoples.
They stand for:
- Collective benefit: data should support Indigenous communities' wellbeing and development.
- Authority to control: Indigenous peoples have the right to govern data about them.
- Responsibility: data users must ensure respectful, transparent, and accountable use.
- Ethics: data practices must align with Indigenous values, cultural protocols, and worldviews.
Together, these principles guide data governance that empowers Indigenous self-determination and ensures that data serves community-defined goals rather than external agendas.
Reporting on climate data for vulnerable communities
Climate data reporting should be done in ways that empower rather than harm vulnerable communities. When framed appropriately, climate data can support equitable adaptation and policy action rather than reinforcing existing vulnerabilities.
Reporting should avoid portraying communities as passive victims. Instead, it should emphasise resilience, local knowledge, and agency. This means avoiding deficit-based narratives, protecting sensitive information, and ensuring data is contextualised and accessible.
Reporting should be participatory, involving local stakeholders in the design and interpretation of data, and should highlight community resilience and adaptive capacity.
Data types and ethical considerations
The tabls below includes some basic data types typically used in coastal adaptation, the primary ethical consideration and suggested strategies.
This is a non-exhaustive list designed to prompt thinking about ethical use of data in your projects and strategies.
| Data type Typical use in adaptation | Primary ethical consideration | Suggested strategies |
|---|---|---|
| Environmental data (e.g. temperature, rainfall, sea-level rise) Modeling climate impacts, predicting hazards | Data accuracy, accessibility, potential for misinterpretation leading to maladaptation | Clearly communicate uncertainty ranges to avoid over‑engineering or under‑protecting coastal infrastructure. Ensure open access to datasets so local governments and communities can independently evaluate risks. |
| Socio-economic data (e.g. income, demographics) Vulnerability assessment, targeting resources | Privacy, potential for discrimination, data security | Apply data anonymization and aggregation at community levels to reduce privacy risks. Use data to prioritise least‑resourced coastal communities, not just economically valuable areas. Regularly update datasets to capture seasonal migration, informal housing, and livelihood changes common in coastal zones. Involve social scientists and community representatives to interpret vulnerability without reinforcing stereotypes. |
| Geospatial data (e.g., satellite imagery, location) Mapping risk areas, planning infrastructure | Surveillance concerns, data ownership, impact on Indigenous communities | Establish clear data governance agreements defining ownership, access, and use, especially for Indigenous lands. Pair satellite data with ground‑truthing by local communities to avoid misrepresentation. Limit unnecessary surveillance by collecting only data relevant to adaptation planning. Use participatory mapping to integrate community‑identified risk areas and cultural sites. |
| Traditional Knowledge Informing local adaptation strategies, development of co-design adaptation, culturally appropriate adaptation | Intellectual property rights, consent, equitable benefit sharing | Obtain free, prior, and informed consent (FPIC) before collecting or using knowledge. Treat traditional knowledge as complementary evidence, not anecdotal data. Ensure equitable benefit sharing, such as co‑authorship, payment, or decision‑making roles. Support intergenerational knowledge transfer that strengthens long‑term coastal stewardship. |