Open data, open innovation, and cloud computing can provide significant benefits but expectations are changing. Citizens and workers expect personalized services, engagement, tools for collaboration and work style, and respect for privacy and security. Leaders expect to consult constituents anywhere, gain insights and manage performance. These trends can be exploited by opening government data through the cloud, which provides a low-cost way to build applications, access data easily, and stimulate public innovation. Microsoft's open government data initiative leverages the cloud to provide open APIs, scale, and reliability for open data portals.
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.
A simple platform to bridge the divide between cities, municipalities and its residents.
With ever expanding services provided by municipalities, the home IoT devices are best suited to bring these services to one single platform and provide citizens with answers and solutions to their everyday needs.
Europe needs a clear strategy for leveraging Big Data
Economy in Europe. Our objectives are work at technical, business and policy levels, shaping the future through the positioning of Big Data in Horizon 2020. Bringing the necessary stakeholders into a sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
Big Data is all about extracting 4Vs
Cloud focuses on On-Demand, Elastic, Scalable, Pay-Per use Self Service models
“Big data is not a stand-alone technology; rather, it is a combination of the last 50 years of technology evolution”
Wave 1: Creating manageable data structures
Wave 2: Web and content management
Wave 3: Managing big data
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.
A simple platform to bridge the divide between cities, municipalities and its residents.
With ever expanding services provided by municipalities, the home IoT devices are best suited to bring these services to one single platform and provide citizens with answers and solutions to their everyday needs.
Europe needs a clear strategy for leveraging Big Data
Economy in Europe. Our objectives are work at technical, business and policy levels, shaping the future through the positioning of Big Data in Horizon 2020. Bringing the necessary stakeholders into a sustainable industry-led initiative, which will greatly contribute to enhance the EU competitiveness taking full advantage of Big Data technologies.
Big Data is all about extracting 4Vs
Cloud focuses on On-Demand, Elastic, Scalable, Pay-Per use Self Service models
“Big data is not a stand-alone technology; rather, it is a combination of the last 50 years of technology evolution”
Wave 1: Creating manageable data structures
Wave 2: Web and content management
Wave 3: Managing big data
IBM Big Data for Social Good Challenge - Submission ShowcaseIBM Analytics
Big Issues. Big Data. Big Solutions.
Big data exists in just about everything we use and do. It comes from phones, cars, roads, power lines, waterways, food crates, and innumerable other items you'd never think of as computers.
This data speaks volumes about our collective behavior and society - so let's use it to do something incredible!
IBM invited developers and data enthusiasts to take a deep dive into real world civic issues using big data and IBM Bluemix's Analytics for Hadoop service. They analyzed one of our curated datasets or brought their own and used Hadoop to create clickable and interactive data visualizations highlighting insights they found.
Join us for a Google+ Hangout with the participants to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications. #Hadoop4Good
April 1 and 8: Participants Journeys
April 15: Winner Announced
See slide 17 for more info.
Get started with IBM Analytics Hadoop: https://console.ng.bluemix.net/?cm_mmc=developerWorks-_-dWdevcenter-_-hadoop-_-lp _CMP=pubsec_ss_hadoop4good_slideshare
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Fog or Edge Computing model complements Cloud Computing with small, typically sensor-enabled and IOT connected devices that process distributed data at its source. As this model matures, we see an uptake on a 3-tier architecture with Intelligent Gateways to aggregate sensor input before communicating with data centers or a Cloud. Two forces will drive the practice of distributing Intelligence (Understanding/Reasoning/Learning) to the Gateway. The first is the presence of the Gateway itself, which enables a standards-based approach to distributing intelligence and moving it closer to the edge. The second is the trend for simplifying system requirements by processing training data or model validation with big data prior to deployment, and using small footprint devices for operational systems.
This webinar will present an overview of the relevant technologies and trends. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for Intelligent Edge solutions.
Big data characteristics, value chain and challengesMusfiqur Rahman
Abstract—Recently the world is experiencing an deluge of
data from different domains such as telecom, healthcare
and supply chain systems. This growth of data has led to
an explosion, coining the term Big Data. In addition to the
growth in volume, Big Data also exhibits other unique
characteristics, such as velocity and variety. This large
volume, rapidly increasing and verities of data is becoming
the key basis of completion, underpinning new waves of
productivity growth, innovation and customer surplus. Big
Data is about to offer tremendous insight to the
organizations, but the traditional data analysis
architecture is not capable to handle Big Data. Therefore,
it calls for a sophisticated value chain and proper analytics
to unearth the opportunity it holds. This research
identifies the characteristics of Big Data and presents a
sophisticated Big Data value chain as finding of this
research. It also describes the typical challenges of Big
Data, which are required to be solved. As a part of this
research twenty experts from different industries and
academies of Finland were interviewed.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Learn how Ocean Protocol can be used to further scientific research. A presentation by Ocean's Lead Data Scientist Marcus Jones at Blockchain for Science Conference in Berlin on November 3, 2019.
A top-down look at current industry and technology trends for Big Data, Data Analytics and Machine Learning (cognitive technologies, AI etc.). New slides added for Ark Group presentation on 1st December 2016.
FIWARE Global Summit - The Digital Single Market - Benefits and Solutions for...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Denodo
Watch full webinar here: https://bit.ly/32jYpiD
Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.
In this presentation, Divyatmika introduces SMAC and associated trends. Divyatmika's interest area is Big Data analytics in cloud where she intends to not only do due diligence on the size and processing power of the cloud platform but also develop solutions to give people access to critical analysis.
Why You Should Be Using IoT Technologies for More Than Just IoTPaul Boal
Don't just think about IoT as the way we implement connected smart devices. The lessons and technologies that have lead to IoT are an excellent tool for rethinking how solve some of the same business challenges we've had for decades. What can the lessons from IoT teach us about how to approach data warehousing and analytics, data integration, and business applications?
Azure IoT - A Practical Entry to New RetailDaniel Li
New Retail is in fact a paramount horizontal integration to connect consumers to manufacturers of highly personalized products. It's firstly brought up by Alibaba and is rapidly put in actions in tier 1 retailers. How retailers, retail device manufacturers to take practical actions to embrace the sea change. The presentation offers the hint with Azure IoT
IBM Big Data for Social Good Challenge - Submission ShowcaseIBM Analytics
Big Issues. Big Data. Big Solutions.
Big data exists in just about everything we use and do. It comes from phones, cars, roads, power lines, waterways, food crates, and innumerable other items you'd never think of as computers.
This data speaks volumes about our collective behavior and society - so let's use it to do something incredible!
IBM invited developers and data enthusiasts to take a deep dive into real world civic issues using big data and IBM Bluemix's Analytics for Hadoop service. They analyzed one of our curated datasets or brought their own and used Hadoop to create clickable and interactive data visualizations highlighting insights they found.
Join us for a Google+ Hangout with the participants to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications. #Hadoop4Good
April 1 and 8: Participants Journeys
April 15: Winner Announced
See slide 17 for more info.
Get started with IBM Analytics Hadoop: https://console.ng.bluemix.net/?cm_mmc=developerWorks-_-dWdevcenter-_-hadoop-_-lp _CMP=pubsec_ss_hadoop4good_slideshare
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
The Fog or Edge Computing model complements Cloud Computing with small, typically sensor-enabled and IOT connected devices that process distributed data at its source. As this model matures, we see an uptake on a 3-tier architecture with Intelligent Gateways to aggregate sensor input before communicating with data centers or a Cloud. Two forces will drive the practice of distributing Intelligence (Understanding/Reasoning/Learning) to the Gateway. The first is the presence of the Gateway itself, which enables a standards-based approach to distributing intelligence and moving it closer to the edge. The second is the trend for simplifying system requirements by processing training data or model validation with big data prior to deployment, and using small footprint devices for operational systems.
This webinar will present an overview of the relevant technologies and trends. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for Intelligent Edge solutions.
Big data characteristics, value chain and challengesMusfiqur Rahman
Abstract—Recently the world is experiencing an deluge of
data from different domains such as telecom, healthcare
and supply chain systems. This growth of data has led to
an explosion, coining the term Big Data. In addition to the
growth in volume, Big Data also exhibits other unique
characteristics, such as velocity and variety. This large
volume, rapidly increasing and verities of data is becoming
the key basis of completion, underpinning new waves of
productivity growth, innovation and customer surplus. Big
Data is about to offer tremendous insight to the
organizations, but the traditional data analysis
architecture is not capable to handle Big Data. Therefore,
it calls for a sophisticated value chain and proper analytics
to unearth the opportunity it holds. This research
identifies the characteristics of Big Data and presents a
sophisticated Big Data value chain as finding of this
research. It also describes the typical challenges of Big
Data, which are required to be solved. As a part of this
research twenty experts from different industries and
academies of Finland were interviewed.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Learn how Ocean Protocol can be used to further scientific research. A presentation by Ocean's Lead Data Scientist Marcus Jones at Blockchain for Science Conference in Berlin on November 3, 2019.
A top-down look at current industry and technology trends for Big Data, Data Analytics and Machine Learning (cognitive technologies, AI etc.). New slides added for Ark Group presentation on 1st December 2016.
FIWARE Global Summit - The Digital Single Market - Benefits and Solutions for...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Denodo
Watch full webinar here: https://bit.ly/32jYpiD
Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.
In this presentation, Divyatmika introduces SMAC and associated trends. Divyatmika's interest area is Big Data analytics in cloud where she intends to not only do due diligence on the size and processing power of the cloud platform but also develop solutions to give people access to critical analysis.
Why You Should Be Using IoT Technologies for More Than Just IoTPaul Boal
Don't just think about IoT as the way we implement connected smart devices. The lessons and technologies that have lead to IoT are an excellent tool for rethinking how solve some of the same business challenges we've had for decades. What can the lessons from IoT teach us about how to approach data warehousing and analytics, data integration, and business applications?
Azure IoT - A Practical Entry to New RetailDaniel Li
New Retail is in fact a paramount horizontal integration to connect consumers to manufacturers of highly personalized products. It's firstly brought up by Alibaba and is rapidly put in actions in tier 1 retailers. How retailers, retail device manufacturers to take practical actions to embrace the sea change. The presentation offers the hint with Azure IoT
Watch full webinar here: https://bit.ly/2vN59VK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Watch full webinar here: https://bit.ly/3mdj9i7
You will often hear that "data is the new gold"? In this context, data management is one of the areas that has received more attention from the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
In this webinar, we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't miss it if you want to keep yourself informed about how to convert your data to strategic assets in order to complete the data-driven transformation in your company.
Watch this on-demand webinar as we cover:
- The most interesting trends in data management
- How to build a data fabric architecture?
- How to manage your data integration strategy in the new hybrid world
- Our predictions on how those trends will change the data management world
- How can companies monetize the data through data-as-a-service infrastructure?
- What is the role of voice computing in future data analytic
Data Pioneers - Roland Haeve (Atos Nederland) - Big data in organisatiesMultiscope
Roland Haeve is cross competence manager Big Data voor Atos Nederland. Roland heeft ruim 18 jaar ICT-ervaring in het aanbieden van complete oplossingen binnen onder andere Business Intelligence (BI) en Big Data (Analytics). Big Data is voor veel bedrijven nog pionieren en uitzoeken wat de mogelijkheden zijn. In zijn presentatie zal Roland ingaan op succesvolle Big Data cases. Hij zal hierbij niet enkel inzoomen op Nederland, maar ook bredere, Europese voorbeelden meenemen.
Les "systèmes intelligents" constituent la nouvelle génération de systèmes embarqués, qui, en s'appuyant sur les caractéristiques de robustesse et de déterminisme de leurs aînés, se connectent au cloud afin d'enrichir l'expérience utilisateur, qu'il s'agisse d'entreprises (collectant des données ou surveillant des systèmes par exemple), de particuliers (à la maison ou dans un contexte médical, ou bien dans la voiture) ou bien d'autres machines (dans le cas de systèmes automatisés à grande échelle). Le cloud et particulièrement Windows Azure fourni les vecteurs de communication et les moyens de stocker massivement des données et de les traiter, déchargeant ainsi les installations locales et donc rendant le déploiement de ses systèmes plus simple. Cette session, riche en exemples concrets, présentera la stratégie qui est celle de Microsoft autour du futur des systèmes embarqués, et leur connexion au cloud, ainsi que les technologies et les partenariats mis en oeuvre pour accélérer ces déploiements de systèmes intelligents. avec un exemple qui parlera à tous: le futur de la voiture, avec Windows Embedded Automotive!
Innovative and Agile Data Delivery, using 'A Logical Data Fabric'Denodo
Watch full webinar here: https://bit.ly/3eBEoKH
Presented at BIGIT's World Tech Festival 2022, ASEAN
Ongoing digital transformation is generating new data assets that have the potential of offering organisations unprecedented insights into operations, business processes, customer behaviour, the competition, and much more. But, if organisations cannot effectively access, integrate, and govern their data that is distributed across on-premises and multiple cloud providers’ data platforms, they are doomed to fall short of realizing its value. A logical data fabric that uses virtualization capabilities can avoid the traditional approach of integrating data.
In this session, you will learn how organisations can create a logical data fabric with data virtualization technology to:
- Minimize data movement and data replication which can be time-consuming, expensive and pose security and compliance risks
- Virtually integrate, manage and govern enterprise data across on-premises and cloud for insight generation and business decision making
- Examine how and why a logical data fabric could benefit your organization today and future-proof your data architecture to meet new demands
Open Data is a global trend. This presentation describes part of the trend, focuses on one of the most advanced initiatives - Dublinked.ie in Ireland and provides guidance on how to get started.
David Thoumas, OpenDataSoft CTO, about data API strategy (rich API vs. multiple end-points) for broadcasting data & making business
At APIdays 2012, the 1st European event dedicated to API world
Presentation to Local Government GIS Officers on the Potential for Open Source in GIS. Its a huge one.. grasp it with open arms.. think about standards... standards... standards..
About ActuateOne for Utility Analytics
Water and Energy Utilities are under tremendous pressure to demonstrate progress in asset optimization, grid optimization and performance gains across traditional business drivers such as customers, revenue protection, utility regulatory compliance and financials. ActuateOne for Utility Analytics provides a comprehensive portfolio of software and utility analytics industry expertise to ensure today’s utility leaders and customers always have access to the right information, insight and collaborative capabilities for accurate and informed decisions. Delivered through a single platform, ActuateOne for Utility Analytics ignites any utility or grid Analytics initiative with integrated asset optimization dashboards, grid optimization dashboards, utility compliance reports as well as Transformer Management Scorecards, Substation & Equipment Management Scorecards and Utility KPI Dashboards which help today’s Utility enhance performance and maximize grid performance.
Maximizing Oil and Gas (Data) Asset Utilization with a Logical Data Fabric (A...Denodo
Watch full webinar here: https://bit.ly/3g9PlQP
It is no news that Oil and Gas companies are constantly faced with immense pressure to stay competitive, especially in the current climate while striving towards becoming data-driven at the heart of the process to scale and gain greater operational efficiencies across the organization.
Hence, the need for a logical data layer to help Oil and Gas businesses move towards a unified secure and governed environment to optimize the potential of data assets across the enterprise efficiently and deliver real-time insights.
Tune in to this on-demand webinar where you will:
- Discover the role of data fabrics and Industry 4.0 in enabling smart fields
- Understand how to connect data assets and the associated value chain to high impact domain areas
- See examples of organizations accelerating time-to-value and reducing NPT
- Learn best practices for handling real-time/streaming/IoT data for analytical and operational use cases
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Open Data Portals: 9 Solutions and How they CompareSafe Software
Get a comparison of CKAN, Socrata, ArcGIS Open Data and other top open data solutions. Plus get answers to best practice questions such as: Which datasets are important to share? What are the approximate costs? Which file formats should the data be shared in? How often should the data get updated? And overall, how can we ensure success with our open data portal?
Open Data Open Innovation and The Cloud gayler berlin nov12
1. Open Data, Open Innovation
and The Cloud
Mark Gayler – magayler@microsoft.com
Open Software Lead – www.microsoft.com/openness
Summit of New Thinking – Berlin, Nov 2012
2. Expectations are Changing
Citizens expect…
Personalized, quality services wherever they are
Engagement in issues that affect them
Their privacy and security respected
Workers expect…
Tools that follow their work style
Workplaces that support the devices they use
Social tools to help them collaborate across boundaries
Leaders expect…
The ability to consult with constituents wherever they are
Insight and performance management
Competitive environment, attracting investments
3. Exploiting the Latest Technology Trends
Extracting business value from technology…
Cloud Computing
Consumerization Data Explosion
4. Open Government Data
Share public data for transparency, participation, and stimulate new services based on the data
Scenarios Utilization
• Mash-up data to create data feeds • Reuse data internally across agencies
• Publish feeds into Open Data Catalogues • Stimulate public innovation
• Develop applications that consume data • Improve citizen services
4
5.
6. Country Data Type Estimated
Business Value
Australia GIS/Spatial €5.2Bn
Australia Statistics €19M
Denmark Energy/Construction €540M
England/Wales Local Geospatial €400M
Ireland National €83M
Spain National €550M
UK GIS/Met/Mapping €7.5Bn
USA Meteorological €309M
7. Open Government Data Scenarios
Public Websites Citizen
Agency
Geographic Community Data
Information
Systems Developer
Performance
Management
Civil Servant
Open
Government
Advanced Analytics Internal Data Open Data Data
For Government Analysis Reporting Data Catalog Data feeds
Services Integration Services
Services
API Search tools
Government Data Enterprise
Interoperability Information
Government ERP
Management
LOB Apps Hierarchical Flat files oData Feeds
7
8. Open Data and the Cloud
Cloud is Open for Innovation
developers Low entry cost Accelerator
Build quickly
Minimal infrastructure
Highly scalable
Data agility
*Graphic courtesy techlabs.com http://www.windowsazure.com
9. Localized in 26
Languages
www.eyeonearth.eu
Eye On Earth is a Cloud-based service by
European Environmental Agency (EEA),
since 2009
Water quality measured vs. reported at
Brno dam – Brněnská přehrada
Eye On Earth is the outcome of a strong
collaboration with Microsoft. It maps
sensor water and air quality data, while
allowing citizen feedback through its Open for more
dynamic and user-friendly web site. information
Map functions
Enquiry pushpin
10. http://data.gov.uk
UK Weather Data Archive
Cost-Effective Catalogue Integration Cloud Scale
Infrastructure Seamless Access Big Data Analytics
13. Facts and Figures
• UK Met Office Weather Data on data.gov.uk
– 5,000 UK locations,
– Hourly forecasts: daily + 5 days, 3hrly + 5 days
– Approx 250 million rows per hour of data
• Transport for London (TfL) - London Underground Trains
– #1 European popular Open Data solution by citizen usage
• average 2.3million hits per day from 80+ ISV mobile apps on iOS,
Win8/WP, Android
– Major CAPEX savings (£2m+) for TfL cloud infrastructure
– ‘London Tube Map’ Windows 8 app
15. OGDI/DataLab
Open APIs, Scale &
Reliability of Windows Azure
Roll out open data portal Open Source with
fast and at low cost Community participation
16. European OGDI version on GOVDATA.EU
9 EU Member States
Dataset Categories already publishing
data
17. Leveraging Windows Azure DataMarket
https://datamarket.azure.com/
DataMarket
• Open standards, comfort for non-IT professionals
• Both cost-free, and also for-fee datasets from
commercial providers
• UN, EEA, World Bank, US Data.gov free datasets
already there, and more...
For Citizens
• Read datasets directly into Excel
• User friendly mash-up by Excel PowerPivot
(free add-in, downloadable)
For Developers
• REST based API for all datasets
• Software Development Kit on github
https://github.com/openlab/DataLab/wiki
18
18.
19.
20. ‘Business’ Opportunity for Open Data in
the Cloud
Deliver better services at
lower cost (*ratio)
Enable new innovative
applications and services Stimulate business and
(backed by SLA) economic growth
Enable developers and
citizens to easily
Industry and Citizen consume Open Data and Enable business insight
Engagement Big Data for Government workers
21. Produce – Upload – Consume (Open Data)
Export relational views Create an Open Data Catalog by Browse, visualize,
from databases eg. OGDI Software Development create applications
to create data feeds Kit (SDK)
https://github.com/openlab/DataLab/wiki
Talking Points: As citizens or businesses we want to be served and treated as individuals, where and when we want, to be told in advance about issues that may affect me. Citizens Engagements.. examples of citizen driven initiatives such as NetMums http://www.netmums.com/, FixMyStreet, HeyGov... For workers we want to provide tools that reflect their work styles, in terms of information access, mobile working and collaboration capabilities. And as Leaders and Executives we need to have information that really drives operational excellence deeper insight and strategic decision making. Collectively if we can help to achieve these for any government then we can expect an engaged community, a motivated and productive workforce and an attractive place to invest and do business in.
Consumerization: The capability is ubiquitous. Consumers how have more client computing power than enterprise workers. Cloud: The world is flat... reduced upfront investments, reduced barrier for global presence, reduced barriers for market entry. Data explosion: Data as a Service, Govt as a platform, but also Information Continuum (Gartner): NGOs and citizens have their own views and version of truth... see our two case studies.
Open Data projects can be found around the world. Governments share open data which creates opportunities for citizens and 3 rd -party developers to build new innovative applications and services. Open data standards enable data to be shared across technology platforms, internally and externally, and independent of access devices. The Microsoft technology platform makes extensive use of the Odata protocol. Built on standards such as HTTP, JSON and AtomPub, OData is a Web protocol for unlocking and sharing data — freeing it from silos that exist in some software applications today. The OData protocol supports serialization in multiple popular formats, including JSON and Atom/XML. With OData, developers are able to build cross-platform Web and mobile applications. Based on that demand, Citrix Systems Inc., IBM Corp., Microsoft Corp., Progress Software, SAP AG and WSO2 are proposing an Open Data Protocol (OData) Technical Committee (TC) in the Organization for the Advancement of Structured Information Standards (OASIS), an international open standards consortium. Citrix, EastBanc Technologies and Viecore FSD, among many others, have recently demonstrated OData applications, and hundreds of interested parties are registered on the http://www.odata.org open community mail list.
Open data publishing works within the operational realm of Government information, insight and accountability. The Microsoft technology platform makes extensive use of the Odata protocol. Built on standards such as HTTP, JSON and AtomPub, OData is a Web protocol for unlocking and sharing data — freeing it from silos that exist in some software applications today. The OData protocol supports serialization in multiple popular formats, including JSON and Atom/XML. With OData, developers are able to build cross-platform Web and mobile applications. Based on that demand, Citrix Systems Inc., IBM Corp., Microsoft Corp., Progress Software, SAP AG and WSO2 are proposing an Open Data Protocol (OData) Technical Committee (TC) in the Organization for the Advancement of Structured Information Standards (OASIS), an international open standards consortium. Citrix, EastBanc Technologies and Viecore FSD, among many others, have recently demonstrated OData applications, and hundreds of interested parties are registered on the http://www.odata.org open community mail list.
Cloud Computing provides distinct benefits for open data projects: Cloud has a very low-entry cost (near zero) Cloud is highly scalable. Very cost-effective no matter how much data you publish or how many citizens use that data. Cloud is open. You can share data using open data protocols enabling app developers to code with whatever tools they desire e.g. PHP, Ruby, Python, .NET Minimal impact on your existing infrastructure. Using Cloud, it doesn’t matter how many citizens use your service – this does not affect your IT infrastructure.
Eye on Earth is a project run by the European Environment Agency which publishes Air, Water, and Noise quality data enabling citizens to rate the quality of that data via any SMS-enabled device.
Another advantage of Cloud is that it provides an excellent platform for combining open data with Big Data at low cost. A good example of this is with UK http://data.gov.uk where the UK Gov open data platform uses Windows Azure to publish UK national meteorological (weather) data on an hourly basis at minimal cost. UK Met Office Weather Data on data.gov.uk o 5,000 UK locations o Hourly forecasts: daily + 5 days, 3hrly + 5 days o Approx 250 million rows per hour of data o UK SME: dotnetsolutions MGXFY13 11/28/12
These are Windows 8 open data apps available from the Windows 8 App Store
Most Governments start their open data initiative by building an open data catalog – the Cloud is an ideal platform for this. This is a typical OGDI/DataLab open data catalog hosted on Windows Azure built for EU data.
Windows Azure DataMarket is one solution for publishing data for commercial and non-commercial purposes.
A powerful aspect of publishing data in Windows Azure DataMarket is the seamless way data can be shared to/from Office tools such as Microsoft Excel, using PowerPivot.
Open data can be combined with business performance data to produce a Government ‘Dashboard’ as in this example of a Windows 8 dashboard for City of Barcelona. MGXFY13 11/28/12
Governments have an incredible opportunity to drive smart innovation and create new business and stimulate economic growth. Simply by sharing data assets to the public, the Government organization can generate considerably more value beyond the cost of providing the service. This can be done quickly and cost-effectively and in a very open way using Cloud computing. *Early open data projects indicate a cost/benefit ratio of around 5:1 depending upon data and service type (with geo-spatial data driving ratios of up to 20:1)