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#dataquality — Public Fediverse posts

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

  1. How complete and reliable is #OpenStreetMap data in your region?

    We are introducing country reports on the Humanitarian Data Exchange platform.

    The new reports show #OSM #dataquality across a country & identify where important gaps remain. They provide insights on roads, buildings, currentness, and spatial distribution.

    The reports are powered by the ohsome quality API & are also available as datasets in CSV & GPKG formats.

    More topics are planned.

    👉 heigit.org/introducing-ohsome-

    #humanitarian

  2. @RejoinEU I have worked in data quality for many years. Much of what needs to be done is 'grunt work' - technology cannot assess the accuracy of data etc. Plus transactional data happened at a point in time - unless there is an independent record of that transaction, it is extremely difficult to improve the quality of its data #dataquality

  3. 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

  4. 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. 🤖 🎙️

    🎙️ 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

  5. 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

  6. 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. 🤖 🎙️

    🎙️ 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

  7. 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

  8. 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. 🤖 🎙️

    🎙️ 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

  9. 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

  10. 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. 🤖 🎙️

    🎙️ 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

  11. 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

  12. 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. 🤖 🎙️

    🎙️ 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

  13. 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

  14. 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: doi.org/10.5281/zenodo.20024644 or elib.dlr.de/223803/

    @helmholtz_hmc

  15. 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: doi.org/10.5281/zenodo.20024644 or elib.dlr.de/223803/

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

  16. 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

  17. 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

  18. 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

  19. #GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
    New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data

    In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.

  20. #GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
    New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data

    In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.

  21. #GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
    New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data

    In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.

  22. #GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
    New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data

    In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.

  23. #GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
    New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data

    In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.

  24. Why did people stop responding to federal economic surveys?
    brookings.edu/articles/why-did
    Declining response rates challenge the precision and bias of economic indicators like unemployment. Surveys remain vital for capturing nuances, such as job-seeking intent, that administrative data cannot track.
    Strong data stewardship and reduced respondent burden are necessary to sustain the statistical system.
    #surveymethodology #economics #statistics #dataquality #nonresponsebias

  25. Accurate CRM Data Through Data Enrichment Company Services

    Incomplete data reduces the effectiveness of CRM and analytics. Data cleansing removes errors and standardizes formats. A data enrichment company enhances records with validated business information, helping teams improve segmentation, reporting, and customer engagement strategies.

    Know more: hitechdigital.com/data-cleansi

    #DataCleansingServices #DataEnrichment #CRMDataCleansing #DataQuality #B2BData #DataManagement #DataDriven

  26. DQaaC embeds testing into pipelines using known tools to ensure reliable, scalable data systems. hackernoon.com/automated-data- #dataquality

  27. Unravel the meaning behind "treating data as an asset" in a data-driven world. Learn how embedding data quality, governance, and compliance practices early in the software development lifecycle can transform data management. Join us as we delve into the "Shift Left" approach and its significance on data quality. #DataAsset #DataQuality #ShiftLeft 👉 https://peterbaumann....
    community.datentreiber.com/202

  28. Executives keep asking "How do we use AI to make better decisions?"

    The honest answer: clean your data first. Deduplicate your contacts. Reconcile the three spreadsheets tracking the same metrics with different definitions.

    Nobody wants to hear that. So they build dashboards on top of garbage and blame the model when outputs are incoherent.

    The intelligence was never the bottleneck.

    paulwelty.com/the-loop-nobody-

    #AI #DataQuality #FeedbackLoops #Leadership

  29. Data observability monitors nulls, drift, and freshness, catching pipeline issues before they corrupt dashboards, models, or business decisions. hackernoon.com/building-data-o #dataquality

  30. 🚀 Die 8. Ausgabe der Reihe „Workshop Retrodigitalisierung“ findet vom 19.–20.03. im Haus Unter den Linden (Berlin), und unter dem Oberthema „Digitalisierung für die Ewigkeit? – Datenqualität in der Praxis“ statt.

    👉 Anmeldungen sind noch bis zum 11.03. möglich: pretix.eu/StaatsbibliothekZuBe

    ✨ Die @stabi_berlin richtet den Kurs gemeinsam mit @tibhannover, @ZBMED, ZBW – Leibniz-Informationszentrum Wirtschaft und @nfdi4culture aus.

    #NFDIrocks #Retrodigitalisierung #Dataquality

  31. 🚀 Die 8. Ausgabe der Reihe „Workshop Retrodigitalisierung“ findet vom 19.–20.03. im Haus Unter den Linden (Berlin), und unter dem Oberthema „Digitalisierung für die Ewigkeit? – Datenqualität in der Praxis“ statt.

    👉 Anmeldungen sind noch bis zum 11.03. möglich: pretix.eu/StaatsbibliothekZuBe

    ✨ Die @stabi_berlin richtet den Kurs gemeinsam mit @tibhannover, @ZBMED, ZBW – Leibniz-Informationszentrum Wirtschaft und @nfdi4culture aus.

    #NFDIrocks #Retrodigitalisierung #Dataquality

  32. 🚀 Die 8. Ausgabe der Reihe „Workshop Retrodigitalisierung“ findet vom 19.–20.03. im Haus Unter den Linden (Berlin), und unter dem Oberthema „Digitalisierung für die Ewigkeit? – Datenqualität in der Praxis“ statt.

    👉 Anmeldungen sind noch bis zum 11.03. möglich: pretix.eu/StaatsbibliothekZuBe

    ✨ Die @stabi_berlin richtet den Kurs gemeinsam mit @tibhannover, @ZBMED, ZBW – Leibniz-Informationszentrum Wirtschaft und @nfdi4culture aus.

    #NFDIrocks #Retrodigitalisierung #Dataquality

  33. 🚀 Die 8. Ausgabe der Reihe „Workshop Retrodigitalisierung“ findet vom 19.–20.03. im Haus Unter den Linden (Berlin), und unter dem Oberthema „Digitalisierung für die Ewigkeit? – Datenqualität in der Praxis“ statt.

    👉 Anmeldungen sind noch bis zum 11.03. möglich: pretix.eu/StaatsbibliothekZuBe

    ✨ Die @stabi_berlin richtet den Kurs gemeinsam mit @tibhannover, @ZBMED, ZBW – Leibniz-Informationszentrum Wirtschaft und @nfdi4culture aus.

    #NFDIrocks #Retrodigitalisierung #Dataquality

  34. 🚀 Die 8. Ausgabe der Reihe „Workshop Retrodigitalisierung“ findet vom 19.–20.03. im Haus Unter den Linden (Berlin), und unter dem Oberthema „Digitalisierung für die Ewigkeit? – Datenqualität in der Praxis“ statt.

    👉 Anmeldungen sind noch bis zum 11.03. möglich: pretix.eu/StaatsbibliothekZuBe

    ✨ Die @stabi_berlin richtet den Kurs gemeinsam mit @tibhannover, @ZBMED, ZBW – Leibniz-Informationszentrum Wirtschaft und @nfdi4culture aus.

    #NFDIrocks #Retrodigitalisierung #Dataquality