FedTech Magazine: How NIH Is Translating 70 Years of Health Data to Speak the Same Language. “The National Institutes of Health sits on one of the largest collections of biomedical research data in the world. Decades of federally funded studies on health issues such as heart disease, lung conditions, sleep disorders and genomics have generated petabytes of information. But for most of that […]

https://rbfirehose.com/2026/06/03/fedtech-magazine-how-nih-is-translating-70-years-of-health-data-to-speak-the-same-language/
FedTech Magazine: How NIH Is Translating 70 Years of Health Data to Speak the Same Language

FedTech Magazine: How NIH Is Translating 70 Years of Health Data to Speak the Same Language. “The National Institutes of Health sits on one of the largest collections of biomedical research d…

ResearchBuzz: Firehose

🐘 Αποκωδικοποιώντας τα #NULL!, #VALUE! και #REF! στο @ONLYOFFICE

Στο νέο post:

🔹 Γιατί η =SUM(A1:A5 C1:C5) επιστρέφει #NULL!
🔹 Το #VALUE! από αόρατα spaces ή αριθμούς ως κείμενο (και πώς τα φτιάχνει η VALUE() & TRIM() )
🔹 Το #REF! – ο "δολοφόνος" όταν διαγράφετε γραμμές

👉 Όλα αυτά, με παραδείγματα, στο άρθρο του ONLYOFFICE (Open Source, δωρεάν, συμβατό με .xlsx)

https://www.onlyoffice.com/blog/el/2026/05/most-frequent-errors-in-spreadsheet-tables

#OnlyOffice #OpenSource #Spreadsheets #FOSS #Excel #DataCleaning #Tech #TechWriting

Σφάλματα σε υπολογιστικά φύλλα | ONLYOFFICE Blog

Μάθετε τα 7 πιο συχνά σφάλματα (#NULL!, #VALUE!, #DIV/0!) σε υπολογιστικά φύλλα, τι τα προκαλεί και πώς να τα διορθώσετε σε δευτερόλεπτα.

ONLYOFFICE Blog

The efficacy of AI and analytics depends entirely on high-integrity datasets. Data cleaning is the critical process of identifying and resolving inaccuracies to prevent flawed insights.

Explore this technical analysis on the mechanics of data cleansing for modern digital infrastructures:

🔗 https://digi-texx.com/technology/what-is-data-cleansing/

#DataScience #DataCleaning #TechEthics

What is Data Cleaning? Benefits, Process, and How It Works

Data cleaning is a step that describes the action of finding, correcting, and removing inaccurate, incomplete, improperly formatted or duplicate...

DIGI-TEXX
Data engineering = 80% nettoyage, 20% glamour. Exemple : 3 semaines pour corriger doublons. Solution : automatisation, documentation. #DataEngineering #Tech #Humeur #DataCleaning #Réalité ... https://www.linkedin.com/posts/gabriel-chandesris_dataengineering-tech-humeur-share-7455896944264081408-Ln7L
#dataengineering #tech #humeur #datacleaning #réalité | Gabriel C.

🧹 "La vérité crue sur le data engineering : 80% de nettoyage, 20% de glamour" Quand j’ai commencé en data engineering, je rêvais de **machine learning** et d’**IA révolutionnaire**. La réalité ? **Nettoyer des données sales** 90% du temps. 🔹 **Exemple concret** : - **Projet "sexy"** : "On va prédire le BullShit avec du ML !" - **Réalité** : - 3 semaines à **corriger les doublons** dans les données clients. - 2 semaines à **standardiser les formats** (dates, adresses). - 1 semaine à **documenter** pourquoi on a fait ces choix. 🔹 **Pourquoi c’est important** : - **Des données propres = des indicateurs fiables**. - *Exemple* : Un client a évité une **erreur de 500k€** grâce à un nettoyage rigoureux. - **Un pipeline bien conçu = moins de stress en prod**. 🔹 **Comment rendre ça moins pénible ?** 1. **Automatisez** : Scripts Python pour les tâches répétitives. 2. **Documentez** : Un README clair évite de tout recommencer. 3. **Célébrez les petites victoires** : "Aujourd’hui, j’ai supprimé 10 000 doublons !" → **C’est déjà ça.** 💬 **Quel est votre pire cauchemar de nettoyage de données ?** #DataEngineering #Tech #Humeur #DataCleaning #Réalité

LinkedIn

Keep your business listings accurate and up to date with effective data hygiene practices. Audit data, remove duplicates, standardize formats, and use automation to prevent errors. Clean data improves targeting, customer experience, and decision-making.

Explore more: https://www.habiledata.com/blog/8-data-hygiene-best-practices-for-up-to-date-business-listing-database/

#datahygiene #datacleaning #dataqualitymanagement #businesslistingdatabase

🌐Christof Schöch, University of Trier, details how the #DOAJ journal #dataset is used to teach #Python programming for the Machine Learning in a Digital Humanities Master's program @christof

#PythonProgramming #APCs #DataClassiication #DataCleaning #MachineLearning
🔗 https://blog.doaj.org/2026/03/30/teaching-python-programming-with-doajs-journal-dataset/

Evil AI would force its human slaves to do data cleaning and feed it with structured data.
#ai #evilai #singularity #agi #airisks #slavery #datacleaning #aitraining #forcedlabor #humans

Chiến dịch SMS thường bỏ lỡ mục tiêu vì danh sách số điện thoại còn nhiều số không hoạt động. Kiểm tra định dạng thủ công không đủ; nhiều số đã ngừng sử dụng, gây tỉ lệ bounce cao. Sử dụng công cụ lọc và xác thực dữ liệu TNTwuyou giúp phát hiện và loại bỏ số không đáp ứng, nâng cao tỷ lệ giao thành công và tối ưu tài nguyên. #SMS #Marketing #DataCleaning #TiếpThị #DữLiệu #XácThực

https://www.reddit.com/r/SaaS/comments/1qh35l3/reduced_undeliverable_phone_numbers_by_35_after/

Top 10 Ways to Clean Your CRM Data for Better Performance

Messy CRM data can slow down your sales, marketing, and customer experience. Discover the top 10 practical ways to clean, organize, and maintain high-quality CRM data, eliminate duplicates, improve accuracy, and unlock better insights for smarter decision-making.

Know More: https://peerlist.io/jagadishthakar/articles/top-ways-to-clean-your-data-in-crm

#CRM #DataCleaning #DataQuality #CustomerData #SalesAutomation #DataCleaningServices #CRMDataServices