Frieder Leipold, Lily Baumeister, Isabella Limmer, Miriam Siebert, Max Kristen and Chiara Franceschini present with "Mapping Hospital Heritage with WikiFAIR. A Proposal for Research Data Management" an RDM framework that was developed within the ERC AdG project ARCHIATER: Heritage of Disease.

More details about WikiFAIR as a strategy for ensuring long-term accessibility and collaborative data curation you can find here: https://doi.org/10.17175/2026_008

@hab_wf @MWWForschung
#wikifair #rdm #datamodel

Mapping Hospital Heritage with WikiFAIR. A Proposal for Research Data Management | ZfdG - Zeitschrift für digitale Geisteswissenschaften

This paper presents a concept for research data management using WikiFAIR. The analysis is based on data related to the visual culture of European hospitals. Furthermore, Wikidata is presented as a reference ontology for data modeling and linking.

If you’re trusting your data in Microsoft Fabric to stay accurate just because you set it up perfectly the first time, you could be in for a rude awakening. Data model drift is a silent disruptor—find out what you can do today to prevent tomorrow’s problems.

Read more 👉 https://lttr.ai/ArXwo

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast

Microsoft Fabric Governance Explained: Why Your Data Model Will Drift. If you think frequent versioning, undocumented changes, and growing datasets won’t impact your model, think again—governance is not a ‘nice to have’, it’s a must for data integrity.

Read more 👉 https://lttr.ai/ApJ80

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast
I've been working on data models for #Wikidata type specimen items & structured data for #WikimediaCommons specimen images. This is part of my Wikimedian in Residence & is a collaboration with Brodie Satherley from Auckland Museum.
See https://www.wikidata.org/wiki/Wikidata:WikiProject_Natural_History_Specimen_Data_Model
#NaturalHistory #TypeSpecimen #DataModel #StructuredDataCommons

Data models don’t stay static in Microsoft Fabric—no matter how careful you are! Dive into the hidden causes of drift and find out how governance can protect your business from the risks lurking beneath your dashboards.

Read more 👉 https://lttr.ai/An1ng

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast

Is your Microsoft Fabric reporting starting to look ‘off’? Here’s why: without proper governance, data models naturally drift—impacting everything from insights to compliance. Swipe through our top reasons and solutions for stopping data chaos before it starts!

Read more 👉 https://lttr.ai/An1Nq

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast

Ever wonder why your Microsoft Fabric data always seems a little off after a while? Data model drift is real—and governs everything from analytics to compliance. Uncover the overlooked factors behind model drift and learn how robust governance can set your data straight.

Read more 👉 https://lttr.ai/AnzGz

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast

Microsoft Fabric Governance Explained: Why Your Data Model Will Drift: https://lttr.ai/AnsYm

#M365ShowPodcast #DataModel #M365Show

Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast
#SIEM #security #logs #blue , I would rather threat hunt but here we are. Does it make sense to catalog all log sources and have an example for each one? #knowyourdata right? When is too much documentation too much ? It makes sense to me I guess to catalog all sources than document where the logs would go in a #datamodel and how to query them.

Microsoft Fabric Governance Explained: Why Your Data Model Will Drift.

Read the full article: Microsoft Fabric Governance Explained: Why Your Data Model Will Drift
https://lttr.ai/AnN9x

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Microsoft Fabric Governance: Managing Data Model Drift

Explore how Microsoft Fabric governance addresses data model drift through trust, ownership, and practical governance strategies.

M365 FM Podcast