SOD
Semantic Open Data
Semantic quality, metadata and reuse are at the center.
Semantic Open Data Publishing
SODPUB makes Open Data Publishing reproducible, semantically connected and reusable.
SODPUB helps organizations, research projects and data-focused teams publish open data in a structured way: with clear workflows, consistent metadata, documented decisions and reusable publication artifacts.
Open SourceSemantic Data WorkflowsWorkshop-ready
5
Workflow phases
Intake, validation, decision, publication and reuse evidence.
FAIR
Reuse target
Findable, Accessible, Interoperable and Reusable as guiding principles.
OSS
Project mode
Open development with research-grounded practice.
Problem
Between a dataset and reuse lies the publication process.
Open Data rarely fails only because of technical availability. Repeatable steps, documented decisions, clear responsibilities and reliable quality assurance are decisive.
Implicit knowledge
Many publications depend on individual experience. SODPUB makes steps, roles and decisions explicit.
Diverse portal practice
Portals, metadata models and quality rules differ. SODPUB provides structured patterns that can be adapted.
Weak reuse
Data creates value when publication, documentation and quality are considered together. SODPUB addresses that gap.
Foundation
Research-driven, practical in use.
SODPUB treats publication as a socio-technical workflow. This turns a tool into a justifiable infrastructure for research, administration, teaching and transfer.
Reproducibility
Publication decisions are modeled as traceable process steps, not as one-off manual actions.
Configurability
Organizations can adapt requirements, checks, roles and variants to their own Open Data contexts.
Semantics
Metadata, meaning and interoperability are carried through the process so data can be found and reused later.
Transfer
Workshops and seminars make SODPUB understandable, teachable and sustainable inside institutions.
Municipal Open Data teams
Introduce repeatable publication flows for city datasets, responsibilities and portal configurations.
Research projects
Build traceable dataset publication as part of Open Science and transfer strategies.
Seminars and teaching
Teach Open Data Publishing, process quality, FAIR principles and reuse in a modular way.
Start with SODPUB and make Open Data Publishing traceable.
Developers find code and documentation; institutions find workshops and project support for productive data publication.