Why Open Data Matters

TL;DR

Julien A. Raemy (docuteam SA; University of Bern)
ORCID Google Scholar GitHub Mastodon
HES-SO University of Applied Sciences and Arts Western Switzerland
HEG-GE Bachelor Information Science

Public Engagement and Empowerment

Empowering the Public

  • Access to previously inaccessible information
  • Democratisation of knowledge

Active Participation

  • More informed citizenry
  • Enables civic and cultural discourse

Transparency and Accountability

Building Trust

  • Critical in sectors requiring public trust
  • Free accessibility enables scrutiny

Better Governance

  • Greater analysis capabilities
  • More accountable practices
  • Institutional transparency

The Evolution of Open Data

  • Open Data: A commendable starting point
  • Linked Open Data: Interconnected and discoverable
  • Linked Open Usable Data (LOUD): Enhanced usability and semantic interoperability; Community-driven standards and practices

OGD and ORD for GLAM (Galleries, Libraries, Archives, Museums)

Open Government Data (OGD) & Open Research Data (ORD)

Dual Nature

  • Service to the public
  • Active management process

GLAM Applications

  • Research contributions
  • Curation practices
  • Public engagement

AI and Machine Learning

  • Training Data: Large, diverse datasets for robust AI models
  • Inclusive Development: High-quality open datasets enable better AI
  • Transparency: External validation of AI systems
  • Ethics: Reducing biases through openness
  • Grounding Truth: Open data provides verifiable sources for fact-checking AI outputs

Open data can be the foundation for responsible AI

Collaboration is Key

Best Practices

  • Collections as Data checklist
  • Community-driven standards
  • Shared resources

Communities

  • IIIF (International Image Interoperability Framework)
  • Linked Art
  • OGD meet-ups (Open Data Beer)

Open data is not just about availability—it’s about creating value through accessibility, interoperability, and collaboration.