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#dataquality β€” Public Fediverse posts

Live and recent posts from across the Fediverse tagged #dataquality, aggregated by home.social.

  1. Mistaking Quantity for Quality in Tech and Life - Tech Field Day Podcast
    @TechFieldDay @TechFieldDayPod @SFoskett @GuyCurriersFeed @DaveGraham #TFDPodcast #AIFD8 #AI #AgenticAI #AIInfrastructure #AIAgents #AIQuality #DataQuality

    youtu.be/9CAVQPJTGzM

  2. Now that AI has enabled us to have an unlimited amount of content, generated on demand and instantly, we find ourselves questioning the quality of the output. πŸ€– πŸŽ™οΈ

    πŸŽ™οΈ This episode of the Tech Field Day Podcast, recorded prior to AI Field Day by delegates Barbara Roos, Guy Currier, Dave Graham, and Stephen Foskett, considers this common trade-off.

    #TFDPodcast #AIFD8 #AI #AgenticAI #AIInfrastructure #AIAgents #AIQuality #DataQuality

    youtu.be/9CAVQPJTGzM

  3. This week we were discussing the main challenges of Machine Learning in the #KDAI2026 lecture. It should be very obvious that "bad data quality leads to bad results" :)
    However, we were also talking about insufficient number of data, non-representative data, irrelevant features, overfitting and various forms of bias.

    @fiz_karlsruhe #AI #machinelearning #unicorn #dataquality #lecture #datascience

  4. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    @helmholtz_hmc

  5. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  6. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  7. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  8. LintedData is a linter for RDF and Ontologies for easy use in CI pipelines, we recently released. It checks for common violations of best practices in ontology engineering.
    GitLab: gitlab.com/dlr-dw/linteddata/
    Docker: hub.docker.com/r/dlrdw/lintedd

    Today I present LintedData at the Helmholtz Metadata Conference 2026 demo session.
    Abstract & Poster: elib.dlr.de/223803/

    #RDF #Ontologies #KnowledgeGraphs #DataQuality #OntologyQuality #OntologyEngineering #HMC2026 @helmholtz_hmc

  9. Nice To Be 'Back In The Data Trenches' Directly
    --
    usgs.gov/3d-hydrography-program <-- shared U.S. Geological Survey (USGS) #3DHP home page
    --
    I don't get to be here that often (and that is OK, #ILikeMyJob) - but it is nice to be back working directly with some individual spatial datasets - be it in #QGIS, #ArcGISPro, #PostgreSQL / #PostGIS or wherever...
    #GIS #spatial #mapping #water #dataquality #water #hydrography #3DHP #NHD #opendata #USA #MI #reservoirs #dams #pluvial #fluvial #usecase #SQL

  10. The Power Of Using A Story For Better Data Comprehension And Hence Decision Making
    --
    doi.org/10.1080/15228053.2021. <-- shared book review, β€œData Story: Explain Data And Inspire Action Through Story”
    --
    [I encountered this excellent graphic from @saurabh Rai, and went and explored the ideas put so succinctly here; I found, well, a technical story overview (link above) to β€˜match’; however, this should not be considered an endorsement of this book]
    #data #storytelling #data #comprehension #presentation #story #frameworks #context #setting #dataquality #communication #usecase #robustness #insights #correctness #decisionmaking #narratives #decisions

  11. Die im Projekt AQinDa entwickelte Webanwendung Constrainify hilft dabei, DatenqualitΓ€t zu spezifizieren und zu analysieren, ohne dass dafΓΌr fortgeschrittenes technisches Know-How erforderlich ist. Unsere Kolleg*innen haben dazu im Rahmen eines Workshops eine EinfΓΌhrung verfasst: doi.org/10.5281/zenodo.18430881

    #dataquality #metadata #datascience #digitalhumanities #vzg #gbv #AQinDa

  12. #GESISblog #blog #DataQuality #SurveyData
    The new post on the GESIS blog shows how the #KODAQS #Toolbox helps to improve the quality of survey data: "The KODAQS Toolbox – Assessing and Mitigating Data Quality Issues - Part 1: Survey Data".
    blog.gesis.org/the-kodaqs-tool

  13. AI adoption matures, but big challenges remain

    68% of companies now run custom AI in production, with 81% spending $1M+ annually. But issues like poor data, tough training, and project delays still slow progress. As AI goes mainstream, control and trust are the next big frontiers.

    #ArtificialIntelligence #AIDeployment #EnterpriseAI #DataQuality #MachineLearning #GenerativeAI

    artificialintelligence-news.co

  14. 🌟 Just wrapped up a successful 2-day #DQ4DA workshop in Bonn! Focused on Data Quality for Data Analytics & FAIR Data Management in Agrosystem Research, with insightful participants from the #NFDI consortium #FAIRagro & external researchers. Engaging talks, open discussions, and dynamic breakout sessions made it a memorable event! #DataQuality #FAIR #FDM #ResearchCollaboration πŸŒ±πŸ”"

  15. ⁦At #SETACDublin @sivanibaskaran⁩ presented an amazing approach to best account for #dataquality when conducting #mobility assessments in relation to the #PMT and #vPvM criteria. This approach can be automated!

    ⁦@ZeroPM_H2020⁩ ⁦@InfoNGI⁩