💙 Love Data Week 2026 – Freitag
📍 Where’s the data?

➡️ Cocoda
Webanwendung für #Mappings zwischen #Thesauri, #Klassifikationen & #Normdateien.

💡 Eigene Instanz für NFDI4Objects – für bessere Vergleichbarkeit & Vernetzung von #Forschungsdaten.

🔗 Weitere Informationen: https://www.nfdi4objects.net/portal/services/cocoda/

#LoveDataWeek #WheresTheData #Cocoda #KOS #NFDI4Objects

Last week, @jodageiger and I attended this #hackathon on #metadata for #TrainingMaterials #OER for @dalia . We worked on #mappings and #crosswalk|s.

However, in my opinion, the most important result was the steep learning curve on all sides. The personal conversations were a large asset. Super organized by @ljcastro .

https://nfdi.social/@ljcastro@fosstodon.org/114771340418636393

https://nfdi.social/system/cache/media_attachments/files/114/771/340/382/186/631/original/da9a4faef6745645.jpg

ljc (@[email protected])

Attached: 1 image Last week we had tons of amazing discussions on #metadata for #TrainingMaterials #OER during our @[email protected] #DiscoRSE #Quadriga #hackathon at @[email protected] Thanks to all participants! We worked on crosswalks and mappings including #SchemaOrg #LearningResource @[email protected] @[email protected] #Bioschemas #AMB #Skills4EOSC Results will be published in @[email protected] Keep an eye to our updates on social media if you are interested in the topic.

Fosstodon

💡Join us for this #FAIRIMPACT virtual workshop next week: Moving towards #FAIR #Mappings: from technical recommendations to common practices

🗓️When: Wednesday 7 May 2025 - 13:00 to 17:00

ℹ️https://fair-impact.eu/events/fair-impact-events/moving-towards-fair-mappings-technical-recommendations-common-practices

Moving towards FAIR Mappings: from technical recommendations to common practices

In this final workshop happening on 7 May 2025 13:00-17:00 CEST, online, we will assess the latest version of the practical mapping framework resulting from the previous workshops and interactions with the communities. In particular, we will discuss crucial practical aspects of mappings and crosswalks i.e. the sustainability and governance issues of such mappings. In parallel, we will present and discuss the FAIR Mapping recommendations to identify gaps and potential issues or refinement to deliver a community-revised final version of the recommendations.

[Перевод] Mapping объектов с помощью MapStruct

В огромном приложении Android с Clean Architecture много рутинной работы, связанной с отображением объектов между различными слоями. Хорошим решением будет автоматизация этого процесса. В этой статье рассматривается опыт использования библиотеки MapStruct , которая помогает mapp-ить объекты. Библиотека очень гибка в настройке. И позволяет минимизировать написание шаблонного кода. Вот пример того, как реализовать gradle зависимости в вашем проекте.

https://habr.com/ru/articles/839362/

#clean_architecture #kotlin #android #mapping #mappings #library

Mapping объектов с помощью MapStruct

В огромном приложении Android с Clean Architecture много рутинной работы, связанной с отображением объектов между различными слоями. Хорошим решением будет автоматизация этого процесса. В этой статье...

Хабр
Complex Analysis

An online interactive introduction to the study of complex analysis.

Complex Analysis
#mappings #coli-conc #api
Da ich nicht so der api-Profi bin und ich mich ein bisschen festgefahren habe, vlt kann mir wer helfen?🥺
Wenn ich zb. BK 18.00 hab, wie krieg ich alle RVKs dazu mit ihren Beziehungsauszeichnungen?
Be efficient: drop Python!

(Yes, this is a troll.) Extracting #mappings from an #ontology to a #SSSOM file, using the #OntologyAccessKit in #Python: $ time runoak -i sqlite:uberon.db...

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings

Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

Action editor: Joao Carreira.

https://openreview.net/forum?id=MR4glug5GU

#supervised #mappings #visual

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings

Contrastive self-supervised learning (SSL) methods, such as MoCo and SimCLR, have achieved great success in unsupervised visual representation learning. They rely on a large number of negative...

OpenReview
Transformations from R² to R²

Transformations from R² to R²

GeoGebra
Differential Propositional Calculus • 7

Inquiry Into Inquiry