Integrated Geospatial Data-sharing Interface (GDI)

#DataHasAPlace - In India, most rental agreements run for 11 months. So does a lot of people's paperwork. Every time a tenant moves, their proof of address goes out of date. That's when the problems start. A bank asks for fresh KYC. A child's school admission is stuck waiting for a utility bill in the parent's name. A gas connection doesn't transfer. A migrant worker's ration entitlement is still in a village 1,500 km away. India has more than 450 million internal migrants (Census 2011). For many of them, the address on record is wherever they lived last, not where they live now. Most of the conversation about digital addresses is about precision: how to pin a doorstep to within a few metres. That matters. But precision tells you where a place is. It doesn't tell you who lives there this month. The more useful question may be this: should an address belong to the place, or to the person? We already went through this with phone numbers. Your number used to belong to your telecom provider. Portability made it yours, and you could switch networks without starting over. Addresses could work the same way: a link that belongs to you and that you update when you move, without having to prove yourself to every institution again. Doing this well means working through some real details: → How does a tenant confirm their address without needing the landlord's sign-off every time? → What counts as a valid address for a street vendor, a construction worker on site, or a family in an informal settlement? → How long should an old address stay linked to you, and who decides when it's removed? A good address system wouldn't just describe where you live today. It would make sure you don't lose access to services because you moved. Who do you think gets left out first when proof of address is fixed to one place? #DigitalAddress #Geospatial #AddressPortability #LocationData #CDPG

Data Empowerment and Protection Architecture (DEPA) Training framework bridges a critical gap between the need of data for modern AI systems and maintaining privacy, confidentiality, and data sovereignty by the data providers. @GoI_MeitY has been supporting #CDPG as part of the #P3DX project to implement an open source technology stack frameworks like the DEPA training, DEPA inferencing, and general confidential computing. Using the P3DX technology, companies holding the data can exercise control over the data, while still allowing its use for training and inference in a highly controlled way. The innovation in orchestration by our team, combined with the advances in the fundamental technology layer by Intel, AMD and NVidia make protecting your AI innovation pipelines effortless with minimal performance overhead. We're building in the open, and more importantly opening pilots with new partners. Interested in working with us for building India's DPI stack for privacy? Reach out - we are #hiring. Interested in exploring this technology for your use-case? Reach out - we are #partnering. Want to learn more about the DEPA framework, explore here - lnkd.in/dWn8jntY #DEPA #DataEmpowerment #DataPrivacy #DataSovereignty #ConfidentialComputing #PrivacyPreservingAI #TrustedAI #AIInfrastructure #AIDataGovernance #DigitalPublicInfrastructure #DPI #OpenSourceTechnology #ResponsibleAI #MeitY #IndiaAI

What does it take to make AI truly useful for cities? It begins with Quality, Standardised and Interoperable data. At the #Telangana Urban Innovation Summit 2026, Balasubramaniam Gauthaman, our VP- Government Business Unit, highlighted the importance of real-time, high-quality data as the foundation for meaningful AI systems. Drawing on the experience of the @IndiaIudx (IUDX) he emphasised how standardisation and seamless data exchange can help transform fragmented urban datasets into actionable intelligence. As cities increasingly turn to AI for better governance and service delivery, one thing remains clear: the quality of AI-driven decisions can only be as good as the data that powers them. @egovonline #UrbanInnovation #DigitalGovernance #AIForCities #DataForPublicGood #IUDX #SmartCities #TelanganaUrbanSummit2026 #CDPG

#DPIInAction - Last week, we asked which sector needs its "UPI moment" for data first. A new report from IIM Bangalore's Center for Digital Public Goods suggests a different answer: not one sector, but the connections between all of them. The State of #DPI in India 2026 report describes the journey in three steps. 🔹DPI 1.0 built the rails: identity, payments and digital services. 🔹DPI 2.0 connects them across finance, health, agriculture, commerce and education. 🔹DPI 3.0 adds AI that can anticipate needs and coordinate services. Here's what that could look like for one farmer. 1.0: She has an ID and a bank account. Support reaches her directly. But when an elephant herd damages her crop overnight, she still has to prove it, with photos, forms and visits. 2.0: Her crop record, the forest alert from that night and her insurance policy can talk to each other. The proof already exists. 3.0: The system sees the herd moving toward her village, warns her, and starts the claim before she asks. One simple idea: the hard part of DPI 2.0 is not technology. It's agreement. The report says this plainly. Technology builds the infrastructure, but whether it works depends on institutions: common standards, trusted data exchanges, shared registries and the right governance. It also adds a warning about 3.0. AI must come with privacy, accountability, transparency and interoperability built in. Otherwise, trust breaks. Our takeaway: DPI 2.0 will be built as national and state sovereign infrastructure, and states will make or break it. → Agree on the rules first. National standards, so a crop record means the same thing in every department and every state. → Let states own the rails. Many of the records that need connecting, like land, crops and forests, sit with states. They should run them and decide who sees what. → Trusted exchange, not one big database. Data stays with the department that owns it, and moves only with a clear purpose and permission. → Earn the right to 3.0. AI can anticipate needs only if the data underneath is connected, accurate and governed. Skip 2.0, and 3.0 has nothing reliable to stand on. Payments showed India can build rails. The next decade is about connecting them. If you work on DPI: what's hardest to get right — the standards, the institutions, or the trust? #DigitalPublicInfrastructure #DPI #AI #DataSharing #DataForPublicGood #CDPG

#DataDialogues| Happening Today Behind every #AI answer is a dataset that made it possible. Join today’s Data Dialogues session with Prof. Soma Dhavala (IIT Jammu) to explore three questions that will shape the next phase of AI: Values, Valuation, and Verification. Project MIRA is built at IIT Jammu. Hear the ideas behind it, from the invisible foundations of data to AI outputs you can verify. Topic: Rethinking Data in the Age of AI: Values, Valuation, and Verification Date: 29 October 2026 Time: 3:30–4:30 PM IST -Join the session: bit.ly/4zADxxL -Meeting ID: 484 058 192 979 261 -Passcode: pb2jT9V9 P.S. The session is free and no prior registration is required. @iiscbangalore @FSIDIISc @IITJammu #ArtificialIntelligence #TrustworthyAI #DataValuation #LiveSession #CDPG

On 23 October 2026, we had the pleasure of hosting Dr. Anupam Sobti, Assistant Professor at @PlakshaUniv at #CDPG, IISc, for an engaging discussion on ongoing initiatives and potential areas of collaboration. Dr Sobti leads the GeoAI group at Plaksha University. The research group works in applied machine learning for unlocking urban planning applications in a data-sparse setting. The meeting included a presentation on CDPG’s work, a demonstration of our Agentic AI application for healthcare, and a discussion on GeoAI research. We also discussed Dr. Sobti’s interactions with Janaagraha, CoRE stack, and other urban data initiatives along with opportunities to bring more data providers onto #GDI and encourage startups to build solutions using geospatial data. Looking forward to taking these discussions forward and exploring meaningful collaborations! #Geospatial #ArtificialIntelligence #AgenticAI #OpenGeoAI #DigitalPublicInfrastructure #UrbanGovernance #DataSharing #Innovation #IISc #GDI

#DataHasAPlace - From Platform to QGIS, Without the Detour! Picture a GIS Analyst building a spatial model with three simple layers- rainfall, settlements and elevation. But here is what the workflow actually looks like: 🔹Search the source platform 🔹Download data of different file formats 🔹Convert them into analysis ready format 🔹Import everything into QGIS It’s a familiar routine, but it adds up. Research shows that data analysts spend the majority of their time simply cleaning and preparing data before doing any real analysis. @IntegratedGDI (GDI), developed by #CDPG at IISc, streamlines dataset discovery across multiple providers through unified OGC standards. But finding data is only half the job. Analysts need it inside their active workspace. That’s why we built the GDI #QGISPlugin. Instead of moving between catalogues, access pages and service URLs, you discover GDI datasets, authenticate, and add data straight to your project, next to your own layers. Key Highlights: -> Built for QGIS 3.x (including the 3.44 LTR) -> Eliminates manual data conversion and task switching -> Unifies discovery, connection, and analysis in a single workspace - Search, authenticate, and load datasets straight into QGIS. -> Spend less time battling data formats and more time uncovering spatial insights. Want to try it on your own system, for free? 1. Sign up on the GDI Platform 2. Install the GDI QGIS Plugin 3. Launch the plugin (Plugins → GDI QGIS Plugin) and sign in with your GDI consumer credentials to browse datasets. Click Add to load public layers directly into QGIS with one click. For restricted datasets, click Add to request access; once approved by the provider, the layer loads straight into your project 4. Seamlessly discover data from multiple providers, combine it with your own spatial layers, and perform advanced analysis directly in QGIS. Discover. Connect. Analyse. All within QGIS. Official resources • GDI platform : catalogue.geospatial.org.in/ • QGIS Download : qgis.org/download/ • GDI Plugin documentation : docs.geospatial.org.in/docs/… • GDI QGIS Plugin source repository : docs.geospatial.org.in/docs/… • GDI Plugin on the QGIS Plugin Repository: plugins.qgis.org/plugins/ugi… #GISResearch #QGIS #OGC #Geospatial #CDPG

#DataOnTheMove | Can better mobility put more money back into people’s pockets? India’s first National Household Travel Survey, released earlier this month, reveals an interesting reality: only about 9% of workers primarily use public transport to commute, while two-wheelers account for nearly 43%. The survey also finds that urban commuters spend an average of ₹1,044 every month travelling to work. These numbers raise an important question: What does it take to make public transport a more attractive, affordable and convenient choice? A recent development in Bengaluru offers an interesting perspective. @BMTC_BENGALURU is preparing to open its real-time bus data to mobility platforms such as @nammayatri , @tummoc4u and BIAL. This creates opportunities for commuters to plan journeys across different transport systems with better information on bus arrivals, routes and connections. Why does this matter? Because a missed bus connection often means an expensive auto ride. An unreliable commute means leaving home earlier. Poor last-mile connectivity makes even affordable public transport inconvenient. The benefits go beyond savings. Every commuter who shifts from a two-wheeler to a bus or metro helps keep one more vehicle off the road, which means cleaner air. And when bus stops and metro stations have shops for daily needs, the commute can double as an errand run. Better mobility is not just about reducing congestion. It is about reducing the time, money and uncertainty people spend getting through their day, while making our cities cleaner and more liveable. And connected transport data plays an important role in making that possible. As Indian cities invest in expanding transport infrastructure, should we also be measuring success by how much time, money and pollution we save, and by how well transit points serve everyday needs? #UrbanMobility #PublicTransport #Bengaluru #SustainableMobility #OpenData #SmartCities

#DPIInAction- Money moves across India in seconds. Data between two government departments often still doesn't. This week, CareEdge Global Ratings looked at 43 economic reforms across 38 countries. Only 10 were rated highly effective. India's Digital Public Infrastructure was one of them. The numbers explain why. Aadhaar covers more than 1.3 billion people. UPI processes over 13 billion transactions a month. Small businesses now do more than 85% of their transactions digitally. But the most useful part of the report isn't the ranking. It's the reason: institutional coordination and interoperability. One simple idea: the first wave of DPI moved money and proved identity. The next wave has to move data. Think about two stories we wrote about this month: 🔹An elephant herd near a railway line, which the forest team, railways, power company, village and insurer all need to know about 🔹A farm fire at 5 pm, which agriculture, enforcement, air-quality forecasters and policymakers all need to see Same pattern both times. The information exists. It just sits in separate systems. Payments had the same problem once. UPI didn't replace banks. It gave them one common way to talk to each other. That is what sectors like agriculture, forests, health and cities now need for data. Our takeaway: the next decade of DPI will be built in sectors and states, as national and state sovereign infrastructure. → Common rails, national standards. Shared formats and rules, so any department can understand another's data. → Sovereign by design. States run their own data rails and decide who sees what. → One record, many uses. A field, a forest patch or a hospital visit is recorded once and used by every department that needs it. → Trust built in. Every access is checked and logged, so people can see how their data is used. → Ready for AI. The report lists AI among the priorities for future reforms. AI will only be as good as the data it can reach. The report also warns that announcing a reform is not enough. It takes clear mandates, the right sequence and support from the people affected. That is just as true for data. Payments showed what interoperability can do. Data is the next test. Which sector needs its "#UPImoment" for data first — agriculture, health, forests or cities? #DigitalPublicInfrastructure #DPI #DataSharing #GovTech #DataForPublicGood

#DataDialogues - Rethinking Data in the Age of AI: Values, Valuation, and Verification #AI is getting remarkably good at coding, mathematics, and reasoning, where answers can be checked. But bringing that power into enterprises and sovereign AI systems is a harder problem. And at the heart of it lies data. Join us for the next Data Dialogues session with Soma Dhavala, Professor in EE and CSE at the Indian Institute of Technology Jammu , on three questions that will shape the next phase of AI: 🔹Values: How do we make principles like Constitutional AI operational? 🔹Valuation: How much is a dataset actually worth? 🔹Verification: How do we make AI outputs inspectable, defensible, and verifiable? Drawing on experiences from Project MIRA at IIT Jammu, the session will trace the evolving AI data stack, from data collection, curation, and governance to economic valuation, structured knowledge, and verifiable outputs. Topic : Rethinking Data in the Age of AI: Values, Valuation, and Verification - Date : October 29, 2026 - Time : 3:30 - 4:30 PM IST - Join the session : bit.ly/4zADxxL Meeting ID: 484 058 192 979 261 Passcode: pb2jT9V9 P.S:- The session is free and no prior registration is required @IITJammu @iiscbangalore @FSIDIISc #DataDialogues #AI #DataValuation #TrustworthyAI #ConstitutionalAI #SovereignAI #CDPG

#FromDataToHealth In the last decade or so, India has been undergoing a sea-change in healthcare, with health facilities - both private and public - adopting Hospital Information Management Systems (HIMS) and Electronic Medical Records (EMR). This is partly driven by the general push towards digitisation across government and, for hospitals in particular, by the NHA’s larger push towards compliance with ABDM standards and ABHA APIs. It has also led, somewhat, to a cascade of larger problems. If you were to query a hospital’s database for the number of people with a particular condition, the response you get would depend on how you worded the query. You may phrase it as Diabetes Mellitus Type 2, but the hospital may have stored it as Type 2 Diabetes or T2DM, or may only ever have recorded the condition as a line of free text in a clinician’s note. This tends to happen because hospital records are built to support care and billing - and they excel at that particular job. Their failings begin to show when you start aggregating their data for population level studies, clinical research and epidemiological intelligence. The differences tend to show up in three places: 🔹 Terminology - The same condition, test or drug is named differently across systems. A medicine may appear under a brand name in one record and a generic name in another, and a diagnosis may be coded in one place and described in words in another. 🔹 Format and units - HbA1c is reported as a percentage in some labs and in mmol/mol in others, and a date like 04/05/2025 may mean different things depending on who wrote it. A value of “8” means very little without its unit. 🔹 Context - Much of what matters clinically sits in free text - when a condition was diagnosed, what was tried before, why a treatment was stopped. It is readable by a person, but invisible to a query. None of this matters while a record stays inside the hospital that created it. It begins to matter the moment you ask a question across hospitals - whether you are a researcher studying how a treatment performs, a registry trying to count patients with a rare condition, or a sponsor looking for eligible participants for a clinical trial. Before that question can be answered, someone has to work out whether the records are describing the same thing, and that reconciliation is slow, mostly manual, and invisible to anyone who only sees the final result. It is also usually repeated from scratch for every new project, so the effort rarely accumulates. This is why standardisation deserves more attention than it gets. It is not the part of health data that draws interest, but most of what we want to do with the data - research, registries, trial matching - depends on it working quietly in the background. #HealthData #DigitalHealth #Interoperability #HealthTech #DataStandardisation #DataForPublicgood

#DataHasAPlace - The flood doesn't know whose map it's on Picture a district control room on a night of heavy rain. Rainfall readings are on one screen, from one department. River levels are on another. Road closures sit in a third system, hospital beds in a fourth, and village boundaries in a revenue map that hasn't changed in years. Every map is accurate. None of them talk to each other. So the most important question of the night, which villages will be cut off in the next six hours, and where is the nearest open shelter?, gets answered with phone calls, WhatsApp forwards and someone's memory. India doesn't lack maps. We lack maps that meet. That's what leaders in the field have been saying this year. At the Bharat Space Conclave in March, the chairman of the national Geospatial Data Promotion and Development Committee said India's biggest challenge is that #Geospatial data sits in separate silos: space agencies, drones, government departments, industry, research. A 2026 Survey of India study with CEPT went further, mapping how unevenly geospatial standards are actually implemented on the ground. There is good news too. When layers do come together, the results are real. PM GatiShakti brings roughly 1,700 data layers onto one planning platform. In Varanasi, combining data from multiple sources gave 26,000 farmers personalised advice for the rabi season. At hashtag#CDPG, we believe the next leap in geospatial isn't a sharper satellite or a better base map. It's treating "where" as shared public infrastructure: —>Data stays with its owner. Each department keeps and maintains its own layer. —> Layers connect through open standards. When a crisis hits, they can be combined in minutes, not weeks. —>Access is governed by consent and purpose. The right data reaches the right responder, for the right reason. This is the larger promise of Digital Public Infrastructure: open rails that many institutions can build on, instead of one giant system that tries to hold everything. Disasters don't respect departmental boundaries. Our data shouldn't either. What's one dataset you wish every emergency responder in your city could see? Tell us below 👇 #DisasterRiskReduction #IDDRR #Geospatial #DigitalPublicInfrastructure #DataExchange #OpenStandards #DataForPublicGood

#DataMatters As the AI race accelerates, who is making sure we can keep it under control? AI safety is becoming a global challenge—but building consensus on safeguards is proving just as difficult as building the technology itself. Dr. Inder Gopal and Prof. D Manjunath explore this challenge in their latest opinion piece for The Financial Express, examining whether India can help bridge the divide and shape the global #AI safety agenda. A timely question, as the world grapples with how to balance AI innovation with meaningful safeguards. Read it here: lnkd.in/gisSeTd2 @iitbombay @iiscbangalore @FSIDIISc @FinancialXpress @isgopal #AISafety #AIGovernance #ResponsibleAI #IndiaAI #CDPG #DataforPublicGood

#WorldPostDay - The postman who was the address Almost every Indian village once had one: a postman who could deliver a letter addressed simply to a name, "near the big tamarind tree." There was no street, no house number, no PIN that meant much. The address wasn't on the envelope. It lived in his head: who lived where, which family had moved, which gate was really used, which house had a dog to watch out for. He was the address system. And when he retired, part of the map retired with him. We've been thinking about him as India rolls out DIGIPIN, the open, geo-coded code that gives every few square metres of the country its own 10-character tag. One point keeps coming up in recent coverage: it doesn't replace your address. It sits alongside it. That is quietly profound. Even with satellite-grade precision, a coordinate alone can't capture how people actually find each other. The postman's knowledge still matters. This World Post Day, it's worth remembering that addresses were never really designed for people. In 18th-century Europe, houses were numbered so that states could find people to tax and to conscript. So what could "where" look like if it were designed around people? 📍Lives that move. A vegetable vendor is at the bus stand at 7 am and outside the school at 4 pm. A herder's address changes with the season. A fisher's workplace is a stretch of sea. 🌾Places that aren't homes. A farm plot, a village pond, a sacred grove, a 200-year-old tree. These are things we need to find, protect and serve. 🧭 What the postman knew. "Use the back lane." "Third floor, no lift." That context is what actually gets an ambulance to the right door. At CDPG, we believe the code is the easy part. The real opportunity is treating "where" as shared public infrastructure: open and interoperable, governed in the public interest, and shaped around how people live instead of how forms expect them to. The postman knew his village by heart. Can we build systems that do the same, for everyone? What's a "where" in your world that today's addresses still can't capture? Tell us below 👇 @podivdop #WorldPostDay #DigitalPublicInfrastructure #DigitalPublicGoods #DigitalAddressing #Geospatial #DataForPublicGood

Last week, we looked at a herd of elephants—and a problem that had little to do with elephants alone. A forest team spots a herd. A railway needs to slow a train. A village needs a warning. An insurer may need evidence of crop damage. The information exists. But each organisation operates within its own systems, processes and boundaries. That raises a bigger question: What if public digital infrastructure was designed not just for individual services, but for coordination across them? This is where the next chapter of Digital Public Infrastructure gets interesting. The first wave focused on building common digital rails—identity, payments, registries and platforms. The emerging challenge is the layer above: enabling different systems, departments and sectors to interact securely and seamlessly. And this could fundamentally change how we approach public problems. A railway alert can connect with wildlife management. Agricultural systems can connect with weather and geospatial infrastructure. Forest monitoring can inform disaster response. State-level systems can become building blocks for services we haven't designed yet. The shift is from building digital islands to building connected ecosystems. So perhaps the next DPI question isn't: “What should we digitise?” It is: “What should be able to work together?” #DigitalPublicInfrastructure #DigitalGovernance #WildlifeConservation #DataForPublicGood #DPI #CDPG

#FromDataToHealth Many disease registries are created for one study, one disease, one institution or one funding cycle. They answer the question they were designed for — but struggle when researchers want to ask the next one. The problem isn't necessarily the data. It is the infrastructure underneath it. A useful health dataset needs more than collection. Records from different hospitals need to be anonymised, standardised and made interoperable. Researchers then need a secure way to analyse that information without unnecessarily moving or exposing sensitive patient data. This becomes particularly important for rare diseases, where no single hospital may see enough patients to generate meaningful evidence. Imagine instead that multiple institutions could contribute to a common research ecosystem — while patient data remained protected — allowing researchers to study larger populations, identify patterns and generate evidence relevant to Indian patients. That changes the ambition from building a registry to building research infrastructure. In this talk, Novoneel Chakraborty explores this shift—from registry to research infrastructure—and what the underlying digital architecture needs to look like. Watch the video here - youtu.be/zQNBqqIkT30 @NarayanaHealth #DigitalHealth #HealthData #HealthResearch #Interoperability #DataForPublicGood

Our colleague, Dr. @rkrishnapuram1 , recently joined the 2026 International Mobility Data Summit in Montréal, Canada, as a panelist for “Demonstrating the Value of Open Transit Data Policies. The discussion explored the real value and return on investment of open transit data, including how it can drive innovation, improve public services, and create lasting value for agencies and communities. Dr Krishnapuram shared insights from India’s perspective on GTFS adoption and open transit data, contributing to a global conversation on how stronger data-sharing ecosystems can support the future of mobility. We thank @MobilityDataIO for bringing together the global mobility community for this important conversation and creating a space to share experiences and explore how open data can enable better mobility outcomes. #InternationalMobilityDataSummit #MobilityData #IUDX #CDPG #GTFS #OpenData #TransitData #Mobility #PublicTransport #DataForPublicGood #OpenStandards

Trusted health data needs more than access. It needs the right environment to use it responsibly. We are pleased to see the Secure Data Environment (SDE) launched by the @AyushmanNHA at Arogya Manthan 2026. Developed by NHA with support from CDPG at the Indian Institute of Science (IISc), the SDE provides a governed environment for working with AB PM-JAY and ABDM health data — enabling approved users to work with de-identified data or execute code within an isolated environment, while maintaining safeguards around data and outputs. #CDPG was responsible for designing and developing the Secure Data Environment for NHA, bringing our experience in trusted data infrastructure, privacy-preserving technologies and secure data environments to India’s digital health ecosystem. The SDE is an important step towards enabling health research, better programme planning, outcome analysis and responsible AI innovation while protecting sensitive health data. We look forward to seeing the SDE enable new possibilities for responsible use of health data at scale. View the full video here - youtube.com/live/7FvqyEEHLT0… Read about the launch here - pib.gov.in/PressReleaseIfram… @iiscbangalore @FSIDIISc #CDPG #IISc #SecureDataEnvironment #SDE #DigitalHealth #HealthData #ResponsibleAI #DataForPublicGood #NHA #ABDM #PMJAY

#GDI Data Marketplace Pilot Successfully Completed! We are excited to share the successful completion of the pilot of the GDI Data Marketplace infrastructure for geospatial data exchange, completed in September 2026, with @iittniftih as the Data Provider and SIRPI DataScience as the Data Consumer. This pilot demonstrates a novel marketplace model for geospatial data, enabling providers and consumers to exchange data through a flexible, policy-driven framework. It lays the groundwork for many more providers to come on board and for consumption to scale across the ecosystem. 🔹 Provider-defined access & monetisation — Data can be offered with constrained access or full access, with pricing and usage conditions defined by the provider. 🔹 Flexible data validity — Providers can define the validity period for data access, giving greater control over how long data can be consumed. 🔹 Provider-driven products — Providers can create multiple products for the same underlying dataset, depending on specific use cases and requirements which consumers can then purchase, a subset or all, based on their needs. 🔹 Policy-driven exchange — Access, usage and commercial conditions can be configured to support diverse data-sharing models. 🔹Consumers can discover, purchase and visualise data products, while accessing the associated metadata based on their specific requirements. This is an important step for GDI as we work towards building a trusted and scalable infrastructure for geospatial data exchange, where organisations can participate as providers or consumers without having to build their own marketplace infrastructure from scratch. A big thank you to Dr. Roshan Srivastav, IITTNiF and Dr. Anand Lakshmanan, SIRPI for their leadership and support in enabling the collaboration and making this pilot possible. Special appreciation to Ms. Renuka and Dr. Abhijit from IITTNiF, and Ms. Vaishnavi Balaji from SIRPI, who worked closely with the team throughout the pilot and played a key role in taking the implementation forward. The real value lies in what this can enable at scale — a marketplace layer that lets providers and consumers discover and transact directly, making data exchange simpler, more trusted and more accessible across the ecosystem. All visuals and pricing shared in this post are for pilot demonstration purposes only. Actual data, pricing, and terms in live scenarios may vary.

Capacity building for a stronger geospatial data ecosystem ! On 22 September 2026, the Centre of Data for Public Good (CDPG), IISc Bengaluru, conducted an in-person Capacity Building Workshop on the @IntegratedGDI for officials from the @ksrsac_gok at the facility in Bengaluru, with participation from 15+ officials. GDI is a DST-supported initiative developed by CDPG-FSID, IISc, enabling trusted, standards-based and controlled sharing of geospatial data. The 1.5-hour deep-dive session covered: • GDI overview, objectives, and current status • Live demonstration of the GDI platform and data discovery/access workflows • GDI Sandbox for hands-on exploration and analysis • Analytics Engine and its capabilities for geospatial analysis • Introduction to the GDI QGIS Plugin for seamless access to GDI datasets within QGIS The session provided an opportunity for KSRSAC officials to explore how GDI supports discoverability, governed data access, interoperability and geospatial analysis across research and operational use cases. The workshop was well received, with active participation and discussions around potential datasets, use cases and opportunities for deeper integration with KSRSAC. A special thank you to Dr. Rajesh N. L., Director, KSRSAC, for the opportunity to collaborate, and to Dr. Nagoor Kani for facilitating and coordinating the workshop and the engagement throughout. A meaningful step towards strengthening interoperable and trusted geospatial data infrastructure in Karnataka. @iiscbangalore @jyotirmoydutta #Geospatial #KSRSAC #CDPG #IISc #DST #GeospatialData #GIS #QGIS #CapacityBuilding #DigitalPublicInfrastructure #Karnataka