This #LoveDataWeek, we're falling back in love with data ❤️📊 Brian had a problem. 😔 As a data analyst, he spent hours searching for the right data across multiple platforms, only to find outdated, inconsistent, or incomplete information. By the time he pieced everything together, the insights were already losing relevance. Sound familiar? 🤔 Like many organizations, John’s company struggled with data silos, inefficient retrieval, and a lack of contextual access to critical information. Instead of empowering decisions, data had become a bottleneck. The solution? An AI-driven data structuring and retrieval system that streamlined access to the right information in seconds. By implementing an end-to-end AI-powered retrieval tool, John’s team was able to: ✅ Break down data silos and unify sources ✅ Ensure data accuracy with intelligent structuring ✅ Retrieve insights faster with contextual AI search For the first time, John wasn’t just working with data—he was in love with it. Data became an asset, not an obstacle. 💞 If data feels like a struggle rather than a strength, maybe it’s time to rethink your approach. What’s your biggest data challenge? Let’s talk! 👇 #PSDI #DataLove #AI #DataManagement #Innovation #LoveDataWeek #LoveData2025

RT @digitalcuration: One week to go! #IDCC25 starts with a Workshop day on Monday 17 February. There now places open for⬇️ ✅W1 https://t…

One day to go for Love Data Week 2025! 🎉🔢 We're excited to celebrate the power of data and its impact on our world! Keep an eye out for we've got a tonne of amazing stuff in store for you! 💞 #PSDI #LoveDataWeek #DataMatters

The recording of our webinar “Sample Tracking with Ampletracks” is now available to watch on our YouTube channel 👉 This webinar, presented by Stavrina D. (Henry Royce Institute) and Ben Jefferson, demonstrates their Ampletracks sample tracking system. 👉 Ampletracks is a configurable web-app built, originally, for sample tracking in and out of laboratory environment. 👉 Watch the recording of this webinar on YouTube: #PSDI #Ampletracks #Data #DataTracking #Webinar

📕 Data Accessibility in the Chemical Sciences: Are We Doing Enough? In an era where AI-driven insights and large-scale data analysis are transforming scientific research, data accessibility remains a critical challenge, especially in organic chemistry. A recent analysis of organic chemistry journals reveals persistent issues in how research data is structured, shared, and utilized. Despite journal requirements for data deposition, many supporting datasets remain incomplete, inconsistently formatted, or locked behind proprietary systems. This fragmentation limits reproducibility, slows innovation, and hinders AI-driven discovery in areas like reaction optimization and retrosynthesis. So, what’s the solution? We need: 👇 ✅ Standardized, machine-readable data formats to enable seamless integration with AI models. ✅ Open repositories that provide structured, searchable access to spectral, synthetic, and computational data. ✅ End-to-end AI-driven tools that not only extract and structure data but also provide contextual retrieval across vast sources. What steps do you think the community should take to enhance data accessibility in chemistry? Let’s discuss! 👇 #DataScience #AI #Chemistry #OpenScience #DataAccessibility #PSDI

The 'Advanced Materials Search Tool for @ccp_nc - Planning Workshop' brought together experts from across the computational chemistry and materials science communities - Collaborative Computational Project for NMR Crystallography (@ccp_nc), @ccdc_cambridge - The Cambridge Crystallographic Data Centre, and Physical Sciences Data Infrastructure (@PSDI_UK) - to discuss best practices and future developments in #cheminformatics for solid-state #NMR crystallography. It was a highly productive event, with the discussions laying the groundwork for improving metadata standards, enhancing search functionalities, and integrating advanced molecular representations into the existing CCP-NC infrastructure. The outcomes of this workshop will directly shape the next phase of development, guiding the creation of a scientifically rigorous and user-focused search tool and Magres database (version 2), while also strengthening collaboration between CCP-NC, CCDC, and PSDI. #PSDI #CCPNC #CCDC #Workshop #Database #Metadata

The Physical Sciences Data Infrastructure (PSDI) and the Digital Curation Centre (DCC) are delighted to invite you to this in-person forum designed for data librarians and research support professionals working within the physical sciences across the UK and EU. Over two days, attendees will engage in knowledge exchange, community discussions, and networking opportunities, all centred on the challenges, opportunities, and emerging solutions in research data management for the physical sciences. Know more about the event: #PSDI #DCC #research #datamanagement #physicalsciences #event #researchsupport

The Physical Sciences Data Infrastructure (PSDI) aims to simplify data management for researchers by integrating and enhancing existing #infrastructures. It will enable seamless access to high-quality #data from both commercial and open sources, allowing researchers to combine #datasets, share software, models, and experimental or simulation data. #PSDI also leverages #AI for data exploration and supports best practices for making research open and #FAIR. By connecting diverse data ecosystems, PSDI empowers researchers to streamline workflows, improve collaboration, and maximize the impact of their findings.

Metadata: What is it all about? 🗝️ In today’s data-driven world, metadata—the descriptive information about data—is more important than ever. It provides context, making data findable, accessible, interoperable, and reusable (#FAIR). Without metadata, data is just a collection of numbers, text, or images without meaning or structure. Metadata answers critical questions: 🔍 Who created the data? 📅 When was it generated? 🧪 What methods were used? 🔗 Where is it stored and how can it be accessed? For scientific research, robust metadata ensures data integrity, reproducibility, and efficient collaboration. This is why Physical Sciences Data Infrastructure (PSDI) are leading the way by developing detailed metadata standards to underpin its resources and services. By creating well-structured metadata, we try to ensure that scientific datasets are discoverable, machine-readable, and reusable across disciplines. Better metadata leads to better science—it reduces duplication, enhances cross-disciplinary insights, and accelerates innovation. #Metadata #FAIRData #ScientificInnovation #PSDI

The research culture isn't as perfect as we would like to believe, but it does come with its own set of challenges. Here are some listed, what would you add? #research #researchchallenges #psdi

The recording of our webinar “Pathfinder – Data to Knowledge” is now available to watch on our YouTube channel. This webinar, presented by Alin Elena and Federica Zanca from @STFC_Matters - Science and Technology Facilities Council Daresbury Laboratory, discusses work undertaken in PSDI pathfinder 5 which focuses on transforming data to knowledge through the construction of workflows. In particular this webinar looked at machine learning for interatomic potentials (MLIP). Watch the recording of this webinar on YouTube 👉 #PSDI #Webinar #MachineLearning #MLIP #Data #Knowledge #Workflow

As we enter 2025, the PSDI team is hard at work as we approach an important milestone in the project. This initial release of resources will be a major milestone and will show the scope and potential of our infrastructure. But it is just one step on the journey, and we look forward to continuing to grow our community to extend the resources available through PSDI. #PSDI #Updates #DataInfrastructure #PSDIUpdates #Jan2025 #Community

Don't miss out our Webinar today 👉 Green Algorithms, Green DiSC and GREENER Principles: Making Computational Science more Environmentally Sustainable Starts 14:00 BST! If you haven't you can still register here: #PSDI #Webinar #Sustainability #Algorithm

💡Good Data vs. Bad Data: Why It Matters More Than You Think In today's data-driven world, businesses rely on data for decision-making, automation, and innovation. But not all data is created equal. The difference between good and bad data can make or break an organization’s success. ❓What is Good Data? Good data is accurate, complete, consistent, relevant, and timely. It is structured in a way that allows easy retrieval, analysis, and application. This type of data: ✅ Provides meaningful insights for decision-making ✅ Enhances operational efficiency ✅ Reduces errors and misinformation ✅ Supports compliance and governance For example, a CRM system with up-to-date, well-categorized customer data allows sales teams to personalize outreach and improve conversion rates. ❓What is Bad Data? Bad data, on the other hand, is inaccurate, incomplete, inconsistent, outdated, or irrelevant. It creates confusion, inefficiencies, and financial losses. Poor-quality data can lead to: ❌ Misguided business decisions ❌ Increased operational costs ❌ Compliance risks ❌ Reduced customer trust Consider an e-commerce platform with incorrect product descriptions or outdated pricing. Customers may abandon purchases, leading to lost revenue. The Cost of Bad Data Studies show that bad data costs businesses trillions of dollars annually. From marketing inefficiencies to supply chain disruptions, the impact is real and measurable. Ensuring Good Data: ✔ Invest in data governance frameworks ✔ Implement AI-driven data cleansing tools ✔ Regularly audit and validate datasets ✔ Foster a data-centric company culture Good data isn’t just a competitive advantage—it’s a necessity. What steps is your organization taking to ensure data quality? Tell us in the comment section below! #DataQuality #GoodData #PSDI

Here's SharkCat's Top Data Tip! 🦈 "My top tip is to always consider how others might want to use your data in different ways when you are generating it – that way you will produce better data that will potentially make a difference in ways you had never even considered." What are some of YOUR favourite Data Tips? 💡 #PSDI #Data #DataTips #PhysicalSciences #DataIsFun

🚨 Final call! Last few days left to apply for PSDI funding for your event. Don't miss this opportunity to bring your ideas to life and make an impact. Apply now 👉 #EventFunding #ScientificData #CollaborationInScience #WorkshopFunding #DataInfrastructure #InnovationInScience #PSDI #FAIRPrinciples

The recording of our webinar "PSDI Pathfinders – Data to Knowledge" is now available to watch on our YouTube channel. This webinar, presented by Alin Elena and Federica Zanca from Science and Technology Facilities Council Daresbury Laboratory, discusses work undertaken in PSDI pathfinder 5 which focuses on transforming data to knowledge through the construction of workflows. Watch the recording of this webinar on YouTube:

Welcome to the team William Poole! ⭐ We're so excited to have you onboard and to be working together. 💪👨‍🔬

The UK is making bold strides in AI. By adopting all 50 recommendations from the AI Opportunities Action Plan, the government is driving innovation, infrastructure, and public service transformation. 💡Here's a quick highlight: - £14B in private investment, creating 13,250 jobs. - A National Data Library to unlock public data securely. - AI Growth Zones to fast-track data centre construction and public service reforms. With plans to boost compute power twenty-fold and partnerships with tech leaders like Vantage Data Centres and Kyndryl, the UK is positioning itself as a global AI powerhouse. It will be interesting to see how this will impact the Physical Sciences research community and our work. #PSDI #PhysicalSciences #Data #AI #AIOpportunities #AIActionPlan #UK

What is Data Stewardship, and Why Does It Matter in Research? 🔍 In the world of #research, data is more than just numbers and statistics—it's the foundation of discovery. But, as Uncle Ben said to Peter Parker (If Spiderman was into research) with great data comes great responsibility. 🕷️🕸️ This is where Data Stewardship steps in. 💪 What is Data Stewardship? Data Stewardship is the practice of managing and maintaining data to ensure its accuracy, accessibility, consistency, and security throughout its lifecycle. It goes beyond just storing data—it's about preserving its integrity and usability for future research. Why is it crucial for research? 📚 Ensuring Reproducibility: Well-structured, well-documented data enables other researchers to validate findings and build upon them. 🔗 Facilitating Collaboration: Standardized and accessible data fosters cross-disciplinary collaboration. 💡 Maximizing Impact: Proper stewardship ensures that valuable insights aren’t lost due to poor organization or management. 🛡️ Meeting Ethical Standards: Protecting sensitive information and ensuring compliance with regulations builds trust with participants and stakeholders. Data Stewardship isn’t just a task—it’s a commitment to advancing knowledge. Here's to making every dataset count. If you want to know more about Data Stewardship, check out Dr. @SamiKanza's presentation - That’s one small step for research, one giant leap for data: on the growing importance of data stewardship ➡️ What’s your take on Data Stewardship in research? Share your thoughts below! 👇 #DataStewardship #ResearchIntegrity #DataManagement #Innovation