#datamanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datamanagement, aggregated by home.social.
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🎩✨ Oh, look! Yet another #GitHub repo promising to free your precious #ChatGPT business #data with the finesse of a toddler in a toy store. 🤹♂️ Just what we needed—a thrilling adventure in #exporting conversations so we can relive the excitement of unread emails and endless file lists. 🚀💾
https://github.com/Conradqh/scrapemychats #ToddlerAdventure #DataManagement #HackerNews #ngated -
🎩✨ Oh, look! Yet another #GitHub repo promising to free your precious #ChatGPT business #data with the finesse of a toddler in a toy store. 🤹♂️ Just what we needed—a thrilling adventure in #exporting conversations so we can relive the excitement of unread emails and endless file lists. 🚀💾
https://github.com/Conradqh/scrapemychats #ToddlerAdventure #DataManagement #HackerNews #ngated -
Watch Now: https://zurl.co/fG0by
Verifying Segment Activations in Data Explorer | Salesforce Data Cloud Step-by-Step Tutorial
#Salesforce #DataCloud #SalesforceDataCloud #DataExplorer #SegmentActivation #Customer360 #CRM #SalesforceAdmin #SalesforceDeveloper #MarketingCloud #CustomerData #DataManagement #Agentforce #Peoplewoo #SalesforceTutorial -
🤖 Everyone is talking about AI. But how many companies are ready for it?
In our conversations with PET manufacturers, recyclers and packaging companies, we often see the same pattern:
✔️ AI ideas exist
✔️ Use cases exist
✔️ Business value is clearBut...
❌ Product data is fragmented
❌ Information is stored in silos
❌ Data quality is inconsistentThe truth is simple: AI doesn't start with AI. It starts with data. That's why we've created a free AI Readiness Self-Test for the PET industry:
📋 10 questions
⏱️ 3 minutes
📊 Immediate maturity assessmentTake the test and find out how prepared your organisation really is for AI-driven innovation. 🔗 https://bab.si/vmjx5
#AI #ArtificialIntelligence #ProductData #PETIndustry #PackagingIndustry #DigitalTransformation #DataManagement #DigitalSovereignty
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🤖 Everyone is talking about AI. But how many companies are ready for it?
In our conversations with PET manufacturers, recyclers and packaging companies, we often see the same pattern:
✔️ AI ideas exist
✔️ Use cases exist
✔️ Business value is clearBut...
❌ Product data is fragmented
❌ Information is stored in silos
❌ Data quality is inconsistentThe truth is simple: AI doesn't start with AI. It starts with data. That's why we've created a free AI Readiness Self-Test for the PET industry:
📋 10 questions
⏱️ 3 minutes
📊 Immediate maturity assessmentTake the test and find out how prepared your organisation really is for AI-driven innovation. 🔗 https://bab.si/vmjx5
#AI #ArtificialIntelligence #ProductData #PETIndustry #PackagingIndustry #DigitalTransformation #DataManagement #DigitalSovereignty
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🤖 Everyone is talking about AI. But how many companies are ready for it?
In our conversations with PET manufacturers, recyclers and packaging companies, we often see the same pattern:
✔️ AI ideas exist
✔️ Use cases exist
✔️ Business value is clearBut...
❌ Product data is fragmented
❌ Information is stored in silos
❌ Data quality is inconsistentThe truth is simple: AI doesn't start with AI. It starts with data. That's why we've created a free AI Readiness Self-Test for the PET industry:
📋 10 questions
⏱️ 3 minutes
📊 Immediate maturity assessmentTake the test and find out how prepared your organisation really is for AI-driven innovation. 🔗 https://bab.si/vmjx5
#AI #ArtificialIntelligence #ProductData #PETIndustry #PackagingIndustry #DigitalTransformation #DataManagement #DigitalSovereignty
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🤖 Everyone is talking about AI. But how many companies are ready for it?
In our conversations with PET manufacturers, recyclers and packaging companies, we often see the same pattern:
✔️ AI ideas exist
✔️ Use cases exist
✔️ Business value is clearBut...
❌ Product data is fragmented
❌ Information is stored in silos
❌ Data quality is inconsistentThe truth is simple: AI doesn't start with AI. It starts with data. That's why we've created a free AI Readiness Self-Test for the PET industry:
📋 10 questions
⏱️ 3 minutes
📊 Immediate maturity assessmentTake the test and find out how prepared your organisation really is for AI-driven innovation. 🔗 https://bab.si/vmjx5
#AI #ArtificialIntelligence #ProductData #PETIndustry #PackagingIndustry #DigitalTransformation #DataManagement #DigitalSovereignty
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🤖 Everyone is talking about AI. But how many companies are ready for it?
In our conversations with PET manufacturers, recyclers and packaging companies, we often see the same pattern:
✔️ AI ideas exist
✔️ Use cases exist
✔️ Business value is clearBut...
❌ Product data is fragmented
❌ Information is stored in silos
❌ Data quality is inconsistentThe truth is simple: AI doesn't start with AI. It starts with data. That's why we've created a free AI Readiness Self-Test for the PET industry:
📋 10 questions
⏱️ 3 minutes
📊 Immediate maturity assessmentTake the test and find out how prepared your organisation really is for AI-driven innovation. 🔗 https://bab.si/vmjx5
#AI #ArtificialIntelligence #ProductData #PETIndustry #PackagingIndustry #DigitalTransformation #DataManagement #DigitalSovereignty
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📊 Domina las tablas en Excel: 4 herramientas que transforman tu flujo de trabajoLas tablas son el corazón de cualquier análisis. Pero no basta con ingresar datos: hay que gestionarlos con integridad y criterio.
Estas 4 herramientas te llevan al siguiente nivel:
✅ Validación
✅ Ordenamiento
✅ Formato Condicional
✅ Filtros
Si trabajas con datos, estas herramientas no son opcionales. Son necesarias.
#Excel #TablasExcel #ExcelTips #DataManagement #Productividad #DataStorytelling #Aprende -
Watch Now: https://zurl.co/mq1dp
Grouping with Dimensions & Final Filter Configuration in Salesforce Data Cloud | Step-by-Step Tutorial
#Salesforce #SalesforceDataCloud #DataCloud #SalesforceTutorial #Customer360 #DataSegmentation #CRM #DataManagement #SalesforceAdmin #MarketingCloud #AudienceSegmentation #DataAnalytics #SalesforceDeveloper #TechTutorial #Trailhead -
Watch Now: https://zurl.co/mq1dp
Grouping with Dimensions & Final Filter Configuration in Salesforce Data Cloud | Step-by-Step Tutorial
#Salesforce #SalesforceDataCloud #DataCloud #SalesforceTutorial #Customer360 #DataSegmentation #CRM #DataManagement #SalesforceAdmin #MarketingCloud #AudienceSegmentation #DataAnalytics #SalesforceDeveloper #TechTutorial #Trailhead -
Watch Now: https://zurl.co/mq1dp
Grouping with Dimensions & Final Filter Configuration in Salesforce Data Cloud | Step-by-Step Tutorial
#Salesforce #SalesforceDataCloud #DataCloud #SalesforceTutorial #Customer360 #DataSegmentation #CRM #DataManagement #SalesforceAdmin #MarketingCloud #AudienceSegmentation #DataAnalytics #SalesforceDeveloper #TechTutorial #Trailhead -
Watch Now: https://zurl.co/mq1dp
Grouping with Dimensions & Final Filter Configuration in Salesforce Data Cloud | Step-by-Step Tutorial
#Salesforce #SalesforceDataCloud #DataCloud #SalesforceTutorial #Customer360 #DataSegmentation #CRM #DataManagement #SalesforceAdmin #MarketingCloud #AudienceSegmentation #DataAnalytics #SalesforceDeveloper #TechTutorial #Trailhead -
Think your initiative should be in our collection on Data competence, data literacy and RDM? Change your account settings from restrictive to open and send us a message!
🔗 Please share 👋
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Think your initiative should be in our collection on Data competence, data literacy and RDM? Change your account settings from restrictive to open and send us a message!
🔗 Please share 👋
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AI is transforming banking, but its success depends on one thing: trusted, connected data. In this interview, Wealth Access founder and CEO David Benskin explains why fragmented customer information remains one of banking's biggest technology challenges, and how unified data can unlock better AI, personalisation and decision-making.
Read the interview: https://www.techfinitive.com/interviews/interview-with-david-benskin-founder-and-ceo-of-wealth-access/
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AI is transforming banking, but its success depends on one thing: trusted, connected data. In this interview, Wealth Access founder and CEO David Benskin explains why fragmented customer information remains one of banking's biggest technology challenges, and how unified data can unlock better AI, personalisation and decision-making.
Read the interview: https://www.techfinitive.com/interviews/interview-with-david-benskin-founder-and-ceo-of-wealth-access/
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AI is transforming banking, but its success depends on one thing: trusted, connected data. In this interview, Wealth Access founder and CEO David Benskin explains why fragmented customer information remains one of banking's biggest technology challenges, and how unified data can unlock better AI, personalisation and decision-making.
Read the interview: https://www.techfinitive.com/interviews/interview-with-david-benskin-founder-and-ceo-of-wealth-access/
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AI is transforming banking, but its success depends on one thing: trusted, connected data. In this interview, Wealth Access founder and CEO David Benskin explains why fragmented customer information remains one of banking's biggest technology challenges, and how unified data can unlock better AI, personalisation and decision-making.
Read the interview: https://www.techfinitive.com/interviews/interview-with-david-benskin-founder-and-ceo-of-wealth-access/
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Prefer Strict Tables in SQLite
https://evanhahn.com/prefer-strict-tables-in-sqlite/
Comments: https://news.ycombinator.com/item?id=48873940
#HackerNews #StrictTables #SQLite #Database #BestPractices #DataManagement #Programming
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Prefer Strict Tables in SQLite
https://evanhahn.com/prefer-strict-tables-in-sqlite/
Comments: https://news.ycombinator.com/item?id=48873940
#HackerNews #StrictTables #SQLite #Database #BestPractices #DataManagement #Programming
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Watch now: https://zurl.co/c0hNq
How to Use Data Bundles in Salesforce Data Cloud | Complete Step-by-Step Tutorial
#Salesforce #SalesforceDataCloud #DataCloud #DataBundles #SalesforceAdmin #SalesforceDeveloper #SalesforceConsultant #CRM #DataManagement #DataIntegration #Customer360 #SalesforceTraining #PeoplewooSkills #Trailhead #SalesforceTutorial -
The #AWSSummit Milano was a day packed with insights and emotions ✨
Coming back ready for many competitions at the next #AWSUserGroupVenezia meetups 🚀🚀🚀
🫂 A big thank you to Echo Pan and Natalia Stones for organizing the #AWSDeveloperCommunity program and for choosing my talk:
🎤 #DataManagement on #AWS: From Chaos to Centralized Governance🙏 And thanks to Corley Cloud for backing my participation
https://a.b.c
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The #AWSSummit Milano was a day packed with insights and emotions ✨
Coming back ready for many competitions at the next #AWSUserGroupVenezia meetups 🚀🚀🚀
🫂 A big thank you to Echo Pan and Natalia Stones for organizing the #AWSDeveloperCommunity program and for choosing my talk:
🎤 #DataManagement on #AWS: From Chaos to Centralized Governance🙏 And thanks to Corley Cloud for backing my participation
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RE: https://scholar.social/@ekansa/116811273528024594
This essay discusses some of the costs of #LLM #AI driven mass web-scraping and how it impacts #nonprofit #opendata services like Open Context.
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RE: https://scholar.social/@ekansa/116811273528024594
This essay discusses some of the costs of #LLM #AI driven mass web-scraping and how it impacts #nonprofit #opendata services like Open Context.
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Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
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Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
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Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
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Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
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Your £2M Data Problem Becomes a £20M AI Risk by 2030
Subject: The £2M problem that becomes £20M in 2030 Hi Why AI amplification will separate survivors from casualties. By 2030, AI, quantum computing, and IoT will converge into an integrated technological ecosystem. If your data foundation is broken today, the convergence will not save you—it will destroy you. I've spent 20+ years watching organizations invest billions in transformation while ignoring the one thing that determines success: their data foundation. I've seen the £15M transformation disasters. The £7M costs of fear-driven silence. The £2M annual bleeds from "just how things work." But 2030 changes everything. Because AI doesn't just use your data. It amplifies it. Let me show you what this looks like in practice. Most organisations already live with data issues. Inconsistent definitions. Missing fields. Duplicates. Stale records. Quiet reshaping of data as it moves between systems. Today, many of these problems are contained because humans sit in the loop. An analyst questions a number. A manager challenges a report. Someone spots something that doesn't feel right before it triggers major action. As we move toward 2030, that changes. AI-enabled workflows increasingly: make decisions automatically, trigger downstream actions automatically—orders, pricing, eligibility, routing, fraud controls, operate continuously rather than weekly or monthly, rely on multiple systems and external data feeds. In plain terms: the same error creates more consequences before anyone notices. Read more in this blog and my book https://lizhendersondata.wordpress.com/your-unseen/ Best wishes Liz Henderson - Data Queen https://lizhendersondata.wordpress.com/your-unseen/https://lizhendersondata.wordpress.com/2026/06/22/your-2m-data-problem/
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PPWR | Digital Product Passport | AI
These three issues are among the biggest challenges facing the PET industry today, and they all have one thing in common:
They all depend on the quality of your product data.
That's why we've launched a new industry resource page focusing on data sovereignty, product information and digital transformation for PET manufacturers, packaging companies and recyclers. Inside, you'll find:
✅ A free Product Data Self-Assessment
✅ Expert articles on product data, digital sovereignty and innovation
✅ PPWR and Digital Product Passport insights
✅ AI readiness for product information
✅ Practical workshop offerings
✅ Presentation slides from our PETnology sessionIf you work in the PET industry and want to understand the impact of product data on compliance, AI and digital sales, this is a good place to start.
🔗 https://www.pluswerk.digital/en/petnology
#PETIndustry #ProductData #DigitalSovereignty #PPWR #DigitalProductPassport #AI #PackagingIndustry #PIM #DataManagement
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PPWR | Digital Product Passport | AI
These three issues are among the biggest challenges facing the PET industry today, and they all have one thing in common:
They all depend on the quality of your product data.
That's why we've launched a new industry resource page focusing on data sovereignty, product information and digital transformation for PET manufacturers, packaging companies and recyclers. Inside, you'll find:
✅ A free Product Data Self-Assessment
✅ Expert articles on product data, digital sovereignty and innovation
✅ PPWR and Digital Product Passport insights
✅ AI readiness for product information
✅ Practical workshop offerings
✅ Presentation slides from our PETnology sessionIf you work in the PET industry and want to understand the impact of product data on compliance, AI and digital sales, this is a good place to start.
🔗 https://www.pluswerk.digital/en/petnology
#PETIndustry #ProductData #DigitalSovereignty #PPWR #DigitalProductPassport #AI #PackagingIndustry #PIM #DataManagement
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PPWR | Digital Product Passport | AI
These three issues are among the biggest challenges facing the PET industry today, and they all have one thing in common:
They all depend on the quality of your product data.
That's why we've launched a new industry resource page focusing on data sovereignty, product information and digital transformation for PET manufacturers, packaging companies and recyclers. Inside, you'll find:
✅ A free Product Data Self-Assessment
✅ Expert articles on product data, digital sovereignty and innovation
✅ PPWR and Digital Product Passport insights
✅ AI readiness for product information
✅ Practical workshop offerings
✅ Presentation slides from our PETnology sessionIf you work in the PET industry and want to understand the impact of product data on compliance, AI and digital sales, this is a good place to start.
🔗 https://www.pluswerk.digital/en/petnology
#PETIndustry #ProductData #DigitalSovereignty #PPWR #DigitalProductPassport #AI #PackagingIndustry #PIM #DataManagement
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https://www.europesays.com/africa/289893/ Schneider Electric Collaborates with GIZ Egypt to Boost Startups in Egypt #automation #ClimateSolutions #Collaboration #DataManagement #DigitalTransformation #Egypt #EnergyManagement #EnergyTechnology #EnergyTransition #expansion #intlbm #partnership #Sustainability #Vision2030
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📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de rechercheCette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
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📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de rechercheCette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
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📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de rechercheCette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
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📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de rechercheCette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
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📚 Que deviennent les données de recherche après la soutenance d'une thèse ?
La fin d'une thèse marque l'aboutissement de plusieurs années de recherche. Mais elle soulève aussi une question essentielle, souvent sous-estimée : que faire des données produites pendant le doctorat ?
Pour accompagner les doctorantes et doctorants dans cette étape, l'atelier de la donnée ADOC Lorraine vous propose une fiche pratique qui présente les points clefs à connaître :
✔️ Identifier les données à conserver
✔️ Choisir un entrepôt de confiance pour leur dépôt
✔️ Relier les jeux de données à la thèse dans HAL
✔️ Valoriser ses données grâce à un data paper
✔️ Organiser la conservation des données non diffusables
✔️ Anticiper l'archivage de son environnement de rechercheCette ressource s'inscrit pleinement dans les démarches de #scienceouverte et de gestion responsable des données de la recherche.
📄 Retrouvez la fiche pratique ici :
https://doi.org/10.5281/zenodo.20624965#ScienceOuverte #OpenScience #DonnéesDeLaRecherche #ResearchData #Doctorat #Thèse #DataManagement
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Seamless Save and Load System for Unity #Unity #Savesystem #Loadsystem #Gamedevelopment #Datamanagement #Seamlesssaving #Encryption #Backgroundoperations #AssetStore
https://u3dn.com/packages/seamless-save-and-load-system-for-unity-283140
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https://www.europesays.com/uk/1013030/ UK advisers see surge in younger clients, survey finds #ArtificialIntelligence(AI) #Britain #CustomerExperience(CX) #DataManagement #DataQuality #DigitalTransformation #digitalisation #England #FinancialPlanning #FinancialServices #fintech #GenZ #GreatBritain #MarketResearch #NorthernIreland #Productivity #RegulatoryTechnology #Scotland #SystemsIntegration #UK #UnitedKingdom #UnitedKingdomUK #Wales #WealthManagement #WorkflowAutomation
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Castor: CERN Advanced STORage Manager
https://castor.web.cern.ch/content/home.html
#HackerNews #Castor #CERN #STORage #Manager #Advanced #Technology #DataManagement
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Castor: CERN Advanced STORage Manager
https://castor.web.cern.ch/content/home.html
#HackerNews #Castor #CERN #STORage #Manager #Advanced #Technology #DataManagement
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FYI: NoSQL Data Storage: Options & Careful Considerations #shorts: Exploring data storage solutions. Decisions about data storage depend on how one intends to use the data. Translating data requires careful consideration to ensure easy removal and avoid excessive business logic. #NoSQL #datastorage #database #datamanagement https://www.youtube.com/shorts/gFEMNKhXDxA
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FYI: NoSQL Data Storage: Options & Careful Considerations #shorts: Exploring data storage solutions. Decisions about data storage depend on how one intends to use the data. Translating data requires careful consideration to ensure easy removal and avoid excessive business logic. #NoSQL #datastorage #database #datamanagement https://www.youtube.com/shorts/gFEMNKhXDxA
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Canyon Code Emerges, Offering Enterprise Data Entrenchment
Canyon Code launches new tools for businesses to manage and control their data systems. Find out how this affects company data handling.
#CanyonCode, #DataManagement, #BusinessTech, #EnterpriseIT, #DataGovernance
https://newsletter.tf/canyon-code-offers-businesses-better-data-control/
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A new company called Canyon Code has launched. It aims to help businesses manage their data better, giving them more control over their systems.
#CanyonCode, #DataManagement, #BusinessTech, #EnterpriseIT, #DataGovernance
https://newsletter.tf/canyon-code-offers-businesses-better-data-control/