Adopting a critical and ethical approach to data

 

A critical and ethical approach to data is essential, particularly in our post-normal context. Data should never be seen as neutral or purely technical. Data reflects human choices — what we choose to observe, how we classify it, and which narratives we construct from it. Especially in a time marked by uncertainty, overlapping crises, and shifting social paradigms, data must be interpreted with care, awareness, and responsibility. 

 

In DO Impact we are exploring the concept of “Data for Good” not only in terms of its technical potential, but also through its ethical, epistemological, and societal implications. Social Enabling Organisation and Proximity and Social Economy SMEs are invited to question assumptions around objectivity, to recognise the value of qualitative and small data alongside big data, and to consider the power dynamics embedded in data use. 

 

Social Economy entities must equip themselves not only with digital tools, but with critical thinking frameworks that allow them to use data in a way that promotes social equity and transparency. In a post-normal world, where complexity, contradiction, and instability coexist; data can help make sense of reality only if it is contextualised, co-interpreted, and used for inclusive and democratic purposes. 

 

When we lift the lid on these topics a diversity of perspectives and experiences is unveiled. Discussions generated by DO Impact so far highlight critical tensions that enabling organisations face when approaching digital transformation and data use in the social economy. 

 

While some advocate for replicable digitalisation strategies others emphasize the importance of adapting frameworks to local governance models, organisational profiles, and territorial dynamics. 

 

The value of large datasets was acknowledged, particularly in mapping initiatives and digital maturity assessments. However, there is need to combine quantitative analysis with qualitative insights, stressing that data should be interpreted within social, organisational, and ethical contexts. 

 

The aspiration to adopt ethical, human-centred approaches to data is widely shared in our sector. Still challenges of translating these principles into practice (especially in resource-constrained environments or when lacking internal digital competences and support infrastructure) is evident.  

Without doubt risks and responsibilities come with using open data. There is a shared concern about privacy and ethics, especially when the data involves children, people with disabilities, or vulnerable populations. While data is often technically open, it is still hard to use because it’s not presented in a user-friendly way. For open data to really make a difference, organisations should be involved in shaping what kind of data is collected and how it is shared. 

 

Differences in digital readiness across the social economy sector is a recurring theme. The role of shared infrastructure and collaborative ecosystems (e.g., CRMs) alongside tailored capacity-building strategies, particularly for smaller or underserved organisations is key.

 

 

In the end, treating data critically and ethically is not just a technical challenge but a democratic imperative. If the social economy is to thrive in the digital age, it must reclaim data as a collective resource — one that reflects human dignity, fosters trust, and strengthens solidarity. By embedding ethics and inclusivity at the heart of digital transformation, PSE organisations can turn data from a tool of risk and exclusion into a driver of resilience, equity, and social good.