Nepal made a significant improvement in the field of Openness, especially in Open Data. The government showed some commitment by starting a discussion and made some notable decision to promote the culture of collaboration. This was made possible because of the active participation of CSOs and grassroots awareness. Civic technology has been the backbone, projects like Open Data Nepal, AskNepal etc are making an impact. In the session, I will share how we can run the grassroots awareness to create an inclusive ecosystem and use civic technology to develop reliable products.
When we say open, what do we really mean? How are open communities and organizations performing. What are some of the observations and lessons from two viewpoints an organization (humanitarian) International Federation of Red Cross Red Crescent Societies and global community - OpenStreetMap. How are some of the topics/challenges and issues similar and different? What can we do as open advocates to inspire and build change in organizations of all types?
Talk given October 7, 2018, Taipei, G0V Summit https://summit.g0v.tw
IAALD - La informaci坦n agr鱈cola y el intercambio de conocimientos: Oportunida...RIBDA 2009
油
The document discusses the importance of inclusive and participatory knowledge sharing approaches. It emphasizes that all actors in the research and development process should have equal access to knowledge. Innovation can be enhanced by creating more opportunities for interaction between actors. Knowledge should be mobilized from diverse sources and shared in collaborative, interactive ways with different stakeholders. Information and knowledge must be made "public" by ensuring they are available, accessible and applicable. The principles of open knowledge include free and open access as well as freedom to reuse and redistribute content without restrictions. Future libraries will increasingly focus on knowledge exchange and interaction, with users becoming collaborators and librarians facilitating knowledge sharing.
Agricultural Information and Knowledge Sharing: Promising Opportunities for A...IAALD Community
油
The document discusses the importance of open and inclusive knowledge sharing. It emphasizes that all actors in the research and development process should have equal access to knowledge. Innovation is enhanced when more opportunities exist for interaction between different actors. Knowledge sharing approaches should mobilize knowledge from diverse sources and make it publicly accessible. Information products and services should be designed for more audiences. New communicators are needed to support collaboration and interactive knowledge exchange with different stakeholders. The main principles of open knowledge are free and open access, as well as freedom to redistribute and reuse content without restrictions. Future libraries will increasingly focus on exchange and interaction, and users will become collaborators in knowledge sharing.
The document discusses making big data accessible for all people through an affordable, holistic, and approachable system called AHAAS. It notes big data projects can cost over $10 million and the top challenge is budget. AHAAS aims to address this by being affordable while also holistic, approachable, automatic, and shareable. The document also references infographics, fairness on the internet, democracy, and transforming the OODA loop model to make big data more broadly available.
This document discusses the future of the web and how developers can get involved. It notes that every second millions of activities occur online like tweets, Instagram posts, and Google searches. It then asks how individuals can get involved and notes that Facebook and Google started small. It discusses web browsers, programming languages, and collaboration tools that developers use. It encourages attending local developer communities and provides resources for learning Git and GitHub to get started contributing to open source projects online.
The document discusses the role of web developers and how to get started in web development. It begins with an introduction of the speaker and their background. It then defines key terms like the web, internet, and web developers. It outlines the main tasks of a web developer as building and maintaining websites with a focus on clients and consumers. It lists the basic tools needed like a computer, IDE, and internet connectivity. It recommends next steps such as joining a training center to learn skills, a tech hub for resources and community, and developer communities to meet others, learn, and collaborate on projects. It concludes by inviting questions from the audience.
Push notifications allow users to opt-in to timely updates from web apps using customized content. There are client-side and server-side aspects to push notifications. On the client-side, service workers and web app manifests are used. Service workers are a type of web worker that can outlive a user session. Web app manifests provide metadata to control how an app appears and allow engaging users by adding the app to their home screen. The presentation provided code labs and resources for implementing push notifications using service workers and web app manifests on the client-side.
This document summarizes a presentation about empowering people through open knowledge. It discusses how open data and open knowledge can be used by anyone to solve problems when information is made accessible, understandable and meaningful. Open data comes from many sources like government, companies and individuals and can be in many formats. The Open Knowledge Foundation builds tools to work with information, helps people learn data skills, and connects organizations working on open data projects. Open knowledge empowers people but also requires tools, communities and skills to access and use data effectively. Personal data also generates important open datasets when anonymized and aggregated but personal information requires careful consideration regarding privacy and control.
The document discusses open data and open government, defining open data as publicly available data that can be freely used, reused and redistributed by anyone. It provides examples of types of open data like cultural, scientific, financial and weather data. The benefits of open data are described as increased transparency, social and commercial value, and public engagement. The document encourages readers to both consume open data from sources like data catalogs and data portals, as well as contribute to open data initiatives by making their own data publicly available.
This document discusses open data and open government initiatives. It provides an overview of the Open Government Partnership which aims to promote transparency, empower citizens, and fight corruption through open data and technology. It also summarizes Hawaii's open data policies and initiatives, including the Hawaii Open Data Policy established in 2013, as well as open data certificates and educational resources available through the School of Data.
Open and transparent practices through open dataenotsluap
油
The document discusses the benefits of open data and open government practices. It notes that open data can create economic, social and democratic value as data is reused. The New Zealand Declaration on Open and Transparent Government commits government agencies to proactively releasing non-personal data online to encourage reuse. Open consultation practices and releasing open source software can also increase transparency and participation in government.
The document is about the Open Knowledge Network, which uses advocacy and technology to open up knowledge and empower citizens and organizations to drive positive change. It builds tools and communities to create, use, and share open knowledge - content and data that everyone can use, share, and build on. The Network believes that an open knowledge commons and related tools and communities can significantly improve governance, research, and the economy. It advocates that knowledge should be open and free to use, reuse, redistribute without restriction.
The document discusses the work of the Open Knowledge Foundation (OKF) in making knowledge open and accessible through open data initiatives. The OKF builds tools to work with open data, connects people and organizations, and provides training and resources through their School of Data. Open data has led to benefits like helping firefighters locate homes more easily and reducing infant mortality and improving health outcomes in Uganda. The OKF argues that open data can help solve global problems by giving choice, transparency, and allowing ideas to spread and scale more easily. They encourage people to get involved in helping create a more open knowledge society.
The document summarizes a presentation on open government data and its potential benefits. It discusses the exponential growth of digital data and how open data can power sustainable development goals. It defines open data and its economic benefits, providing examples of companies created and jobs generated using open data. Finally, it outlines the World Bank's support for countries' open data initiatives through tools like the Open Data Readiness Assessment and examples of projects in various countries.
Code for Nepal is a non-profit organization that was launched in 2014 to increase digital literacy and use of open data in Nepal. Run by volunteers from around the world and co-founders Mia and Ravi, it focuses on increasing digital literacy, building apps to improve lives, increasing access to open data, and supporting the right to information. Some of its products include NepalMap, AskNepal, Election Nepal, and Digital Nepal. It also provides digital empowerment training and supported relief efforts after the 2015 Nepal earthquake.
Presenting the Open Data Institute and our efforts to make North Carolina the largest interoperable data market in the world. Data must be broken down and analyzed for it to have value. Information included about Open Data portals and competitions in North Carolina.
Talk delivered at London Natural History Museum's "Informatics Horizons for the Natural History Museum" video and programme here
http://scratchpads.eu/NHMInformaticsday
The document discusses New Zealand's open government data and information programme. It defines open data and outlines the country's open access and licensing framework (NZGOAL) as well as data management principles (NZDIMP) that require data be non-proprietary, machine-readable, and licensed for reuse by default. The programme works to encourage government agencies to proactively release publicly funded, non-personal data on Data.govt.nz according to these standards to promote reuse. Examples show how open data has been used commercially and for advocacy and community benefit.
The document summarizes a presentation by Dr. Laura James on open data and the Internet of Things. The key points are:
1) Open data can be freely used, reused, and redistributed by anyone for any purpose. The Open Knowledge Foundation builds tools to make working with open data and knowledge easier and helps people develop data skills.
2) While open data has benefits like innovation, personal data requires careful consideration regarding privacy, ownership, and risk before being made open. Most approaches to opening personal data are still immature.
3) The Internet of Things could help solve global problems, but open approaches are needed to ensure choice, transparency, and trust as physical systems become interconnected and collect more data about
The document discusses the open data movement, which aims to make data available, accessible, and usable by everyone through open practices by governments, organizations, and individuals. It promotes transparency, verification of information, collaboration, and avoiding duplication of efforts. The open data movement matters because it allows for data-driven decision making and understanding how decisions are made. Ways to contribute include opening your own data, contributing to open data projects, advocating for more open government data, and helping organizations to adopt open data practices.
This document discusses open data in Africa. It notes that open data can lead to increased governance transparency and accountability, economic job creation and innovation, and social empowerment and improved service delivery. However, open data faces challenges in Africa including government inertia, poor coordination, low data and internet access, and weak institutions. Leveraging open data will require stronger civil society, media independence, and public institutions to enforce open practices and data release. There appears to be a correlation between strong institutions and greater open government and open data readiness. The document provides context on Africa's diversity and open data definitions.
This document discusses open data and open APIs in the U.S. and worldwide. It notes that open data can be freely used, modified, and shared by anyone for any purpose. Governments share data to meet compliance requirements, better communicate with citizens, create efficiencies, and spur innovation and economic growth. The U.S. has over 135,000 open data collections and 450 APIs available. However, challenges remain in making non-machine readable data accessible via APIs and ensuring data quality and privacy. The document advocates expanding open data ecosystems through community engagement to realize open data's potential.
The document provides a historical overview of the Open Knowledge Foundation from its founding in 2004 through 2014. Some key events and accomplishments include:
- Launching in 2004 with a focus on open data advocacy and developing early open data tools and projects.
- Releasing the influential Open Definition in 2006 to define what makes knowledge "open".
- Developing the Comprehensive Knowledge Archive Network (CKAN) open data platform starting in 2006.
- Hosting the first global Open Government Data Camp in 2010.
- Expanding to include 19 working groups and 50 local chapters by 2014 to build a global open knowledge network.
- Reaching over 1 million open datasets published using their CKAN software.
How to teach M365 Copilot and M365 Copilot Chat prompting to your colleagues. Presented at the Advanced Learning Institute's "Internal Communications Strategies with M365" event on February 27, 2025. Intended audience: Internal Communicators, User Adoption Specialists, IT.
This document summarizes a presentation about empowering people through open knowledge. It discusses how open data and open knowledge can be used by anyone to solve problems when information is made accessible, understandable and meaningful. Open data comes from many sources like government, companies and individuals and can be in many formats. The Open Knowledge Foundation builds tools to work with information, helps people learn data skills, and connects organizations working on open data projects. Open knowledge empowers people but also requires tools, communities and skills to access and use data effectively. Personal data also generates important open datasets when anonymized and aggregated but personal information requires careful consideration regarding privacy and control.
The document discusses open data and open government, defining open data as publicly available data that can be freely used, reused and redistributed by anyone. It provides examples of types of open data like cultural, scientific, financial and weather data. The benefits of open data are described as increased transparency, social and commercial value, and public engagement. The document encourages readers to both consume open data from sources like data catalogs and data portals, as well as contribute to open data initiatives by making their own data publicly available.
This document discusses open data and open government initiatives. It provides an overview of the Open Government Partnership which aims to promote transparency, empower citizens, and fight corruption through open data and technology. It also summarizes Hawaii's open data policies and initiatives, including the Hawaii Open Data Policy established in 2013, as well as open data certificates and educational resources available through the School of Data.
Open and transparent practices through open dataenotsluap
油
The document discusses the benefits of open data and open government practices. It notes that open data can create economic, social and democratic value as data is reused. The New Zealand Declaration on Open and Transparent Government commits government agencies to proactively releasing non-personal data online to encourage reuse. Open consultation practices and releasing open source software can also increase transparency and participation in government.
The document is about the Open Knowledge Network, which uses advocacy and technology to open up knowledge and empower citizens and organizations to drive positive change. It builds tools and communities to create, use, and share open knowledge - content and data that everyone can use, share, and build on. The Network believes that an open knowledge commons and related tools and communities can significantly improve governance, research, and the economy. It advocates that knowledge should be open and free to use, reuse, redistribute without restriction.
The document discusses the work of the Open Knowledge Foundation (OKF) in making knowledge open and accessible through open data initiatives. The OKF builds tools to work with open data, connects people and organizations, and provides training and resources through their School of Data. Open data has led to benefits like helping firefighters locate homes more easily and reducing infant mortality and improving health outcomes in Uganda. The OKF argues that open data can help solve global problems by giving choice, transparency, and allowing ideas to spread and scale more easily. They encourage people to get involved in helping create a more open knowledge society.
The document summarizes a presentation on open government data and its potential benefits. It discusses the exponential growth of digital data and how open data can power sustainable development goals. It defines open data and its economic benefits, providing examples of companies created and jobs generated using open data. Finally, it outlines the World Bank's support for countries' open data initiatives through tools like the Open Data Readiness Assessment and examples of projects in various countries.
Code for Nepal is a non-profit organization that was launched in 2014 to increase digital literacy and use of open data in Nepal. Run by volunteers from around the world and co-founders Mia and Ravi, it focuses on increasing digital literacy, building apps to improve lives, increasing access to open data, and supporting the right to information. Some of its products include NepalMap, AskNepal, Election Nepal, and Digital Nepal. It also provides digital empowerment training and supported relief efforts after the 2015 Nepal earthquake.
Presenting the Open Data Institute and our efforts to make North Carolina the largest interoperable data market in the world. Data must be broken down and analyzed for it to have value. Information included about Open Data portals and competitions in North Carolina.
Talk delivered at London Natural History Museum's "Informatics Horizons for the Natural History Museum" video and programme here
http://scratchpads.eu/NHMInformaticsday
The document discusses New Zealand's open government data and information programme. It defines open data and outlines the country's open access and licensing framework (NZGOAL) as well as data management principles (NZDIMP) that require data be non-proprietary, machine-readable, and licensed for reuse by default. The programme works to encourage government agencies to proactively release publicly funded, non-personal data on Data.govt.nz according to these standards to promote reuse. Examples show how open data has been used commercially and for advocacy and community benefit.
The document summarizes a presentation by Dr. Laura James on open data and the Internet of Things. The key points are:
1) Open data can be freely used, reused, and redistributed by anyone for any purpose. The Open Knowledge Foundation builds tools to make working with open data and knowledge easier and helps people develop data skills.
2) While open data has benefits like innovation, personal data requires careful consideration regarding privacy, ownership, and risk before being made open. Most approaches to opening personal data are still immature.
3) The Internet of Things could help solve global problems, but open approaches are needed to ensure choice, transparency, and trust as physical systems become interconnected and collect more data about
The document discusses the open data movement, which aims to make data available, accessible, and usable by everyone through open practices by governments, organizations, and individuals. It promotes transparency, verification of information, collaboration, and avoiding duplication of efforts. The open data movement matters because it allows for data-driven decision making and understanding how decisions are made. Ways to contribute include opening your own data, contributing to open data projects, advocating for more open government data, and helping organizations to adopt open data practices.
This document discusses open data in Africa. It notes that open data can lead to increased governance transparency and accountability, economic job creation and innovation, and social empowerment and improved service delivery. However, open data faces challenges in Africa including government inertia, poor coordination, low data and internet access, and weak institutions. Leveraging open data will require stronger civil society, media independence, and public institutions to enforce open practices and data release. There appears to be a correlation between strong institutions and greater open government and open data readiness. The document provides context on Africa's diversity and open data definitions.
This document discusses open data and open APIs in the U.S. and worldwide. It notes that open data can be freely used, modified, and shared by anyone for any purpose. Governments share data to meet compliance requirements, better communicate with citizens, create efficiencies, and spur innovation and economic growth. The U.S. has over 135,000 open data collections and 450 APIs available. However, challenges remain in making non-machine readable data accessible via APIs and ensuring data quality and privacy. The document advocates expanding open data ecosystems through community engagement to realize open data's potential.
The document provides a historical overview of the Open Knowledge Foundation from its founding in 2004 through 2014. Some key events and accomplishments include:
- Launching in 2004 with a focus on open data advocacy and developing early open data tools and projects.
- Releasing the influential Open Definition in 2006 to define what makes knowledge "open".
- Developing the Comprehensive Knowledge Archive Network (CKAN) open data platform starting in 2006.
- Hosting the first global Open Government Data Camp in 2010.
- Expanding to include 19 working groups and 50 local chapters by 2014 to build a global open knowledge network.
- Reaching over 1 million open datasets published using their CKAN software.
How to teach M365 Copilot and M365 Copilot Chat prompting to your colleagues. Presented at the Advanced Learning Institute's "Internal Communications Strategies with M365" event on February 27, 2025. Intended audience: Internal Communicators, User Adoption Specialists, IT.
Data-Driven Public Safety: Reliable Data When Every Second CountsSafe Software
油
When every second counts, you need access to data you can trust. In this webinar, well explore how FME empowers public safety services to streamline their operations and safeguard communities. This session will showcase workflow examples that public safety teams leverage every day.
Well cover real-world use cases and demo workflows, including:
Automating Police Traffic Stop Compliance: Learn how the City of Fremont meets traffic stop data standards by automating QA/QC processes, generating error reports saving over 2,800 hours annually on manual tasks.
Anonymizing Crime Data: Discover how cities protect citizen privacy while enabling transparent and trustworthy open data sharing.
Next Gen 9-1-1 Integration: Explore how Santa Clara County supports the transition to digital emergency response systems for faster, more accurate dispatching, including automated schema mapping for address standardization.
Extreme Heat Alerts: See how FME supports disaster risk management by automating the delivery of extreme heat alerts for proactive emergency response.
Our goal is to provide practical workflows and actionable steps you can implement right away. Plus, well provide quick steps to find more information about our public safety subscription for Police, Fire Departments, EMS, HAZMAT teams, and more.
Whether youre in a call center, on the ground, or managing operations, this webinar is crafted to help you leverage data to make informed, timely decisions that matter most.
Agentic AI: The 2025 Next-Gen Automation GuideThoughtminds
油
Introduction to Agentic AI: Explains how it differs from traditional automation and its ability to make independent decisions.
Comparison with Generative AI: A structured comparison between Generative AI (content creation) and Agentic AI (autonomous action-taking).
Technical Breakdown: Covers core components such as LLMs, reinforcement learning, and cloud infrastructure that power Agentic AI.
Real-World Use Cases (2025 & Beyond): Examines how Agentic AI is transforming industries like insurance, healthcare, retail, finance, and cybersecurity.
Business Impact & ROI: Discusses case studies from Unilever, FedEx, and more, showcasing cost savings and operational efficiency improvements.
Challenges & Risks: Highlights bias, security threats, regulatory compliance, and workforce reskilling as critical challenges in AI adoption.
5-Step Implementation Strategy: A practical roadmap to help organizations integrate Agentic AI seamlessly.
Future Predictions (2025-2030): Forecasts on AI-driven workforce evolution, industry disruptions, and the rise of Quantum AI.
Revolutionizing Field Service: How LLMs Are Powering Smarter Knowledge Access...Earley Information Science
油
Revolutionizing Field Service with LLM-Powered Knowledge Management
Field service technicians need instant access to accurate repair information, but outdated knowledge systems often create frustrating delays. Large Language Models (LLMs) are changing the gameenhancing knowledge retrieval, streamlining troubleshooting, and reducing technician dependency on senior staff.
In this webinar, Seth Earley and industry experts Sanjay Mehta, and Heather Eisenbraun explore how LLMs and Retrieval-Augmented Generation (RAG) are transforming field service operations. Discover how AI-powered knowledge management is improving efficiency, reducing downtime, and elevating service quality.
LLMs for Instant Knowledge Retrieval How AI-driven search dramatically cuts troubleshooting time.
Structured Data & AI Why high-quality, organized knowledge is essential for LLM success.
Real-World Implementation Lessons from deploying LLM-powered knowledge tools in field service.
Business Impact How AI reduces service delays, optimizes workflows, and enhances technician productivity.
Empower your field service teams with AI-driven knowledge access. Watch the webinar to see how LLMs are revolutionizing service efficiency.
UiPath Automation Developer Associate Training Series 2025 - Session 1DianaGray10
油
Welcome to UiPath Automation Developer Associate Training Series 2025 - Session 1.
In this session, we will cover the following topics:
Introduction to RPA & UiPath Studio
Overview of RPA and its applications
Introduction to UiPath Studio
Variables & Data Types
Control Flows
You are requested to finish the following self-paced training for this session:
Variables, Constants and Arguments in Studio 2 modules - 1h 30m - https://academy.uipath.com/courses/variables-constants-and-arguments-in-studio
Control Flow in Studio 2 modules - 2h 15m - https:/academy.uipath.com/courses/control-flow-in-studio
鏝 For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIASrivaanchi Nathan
油
This business intelligence report, "The Big Ten Biopharmaceutical MNCs: Global Capability Centers in India", provides an in-depth analysis of the operations and contributions of the Global Capability Centers (GCCs) of ten leading biopharmaceutical multinational corporations in India. The report covers AstraZeneca, Bayer, Bristol Myers Squibb, GlaxoSmithKline (GSK), Novartis, Sanofi, Roche, Pfizer, Novo Nordisk, and Eli Lilly. In this report each company's GCC is profiled with details on location, workforce size, investment, and the strategic roles these centers play in global business operations, research and development, and information technology and digital innovation.
Caching for Performance Masterclass: Caching StrategiesScyllaDB
油
Exploring the tradeoffs of common caching strategies and a look at the architectural differences.
- Which strategies exist
- When to apply different strategies
- ScyllaDB cache design
UiPath Document Understanding - Generative AI and Active learning capabilitiesDianaGray10
油
This session focus on Generative AI features and Active learning modern experience with Document understanding.
Topics Covered:
Overview of Document Understanding
How Generative Annotation works?
What is Generative Classification?
How to use Generative Extraction activities?
What is Generative Validation?
How Active learning modern experience accelerate model training?
Q/A
If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
This is session #3 of the 5-session online study series with Google Cloud, where we take you onto the journey learning generative AI. Youll explore the dynamic landscape of Generative AI, gaining both theoretical insights and practical know-how of Google Cloud GenAI tools such as Gemini, Vertex AI, AI agents and Imagen 3.
Caching for Performance Masterclass: Caching at ScaleScyllaDB
油
Weighing caching considerations for use cases with different technical requirements and growth expectations.
- Request coalescing
- Negative sharding
- Rate limiting
- Sharding and scaling
DealBook of Ukraine: 2025 edition | AVentures CapitalYevgen Sysoyev
油
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2024 and the first deals of 2025.
Predictive vs. Preventive Maintenance Which One is Right for Your FactoryDiagsense ltd
油
Efficient maintenance is the backbone of any manufacturing operation. It ensures that machinery runs smoothly, minimizes downtime and optimizes overall productivity. Earlier, factories have relied on preventive maintenance but with advancements in technology, Manufacturing PdM Solutions is gaining traction. The question iswhich one is the right fit for your factory? Lets break it down.
5 Best Agentic AI Frameworks for 2025.pdfSoluLab1231
油
AI chatbots use generative AI to develop answers from a single interaction. When someone asks a question, the chatbot responds using a natural language process (NLP). Agentic AI, the next wave of artificial intelligence, goes beyond this by solving complicated multistep problems on its way by using advanced reasoning and iterative planning. Additionally, it is expected to improve operations and productivity across all sectors.
DevNexus - Building 10x Development Organizations.pdfJustin Reock
油
Developer Experience is Dead! Long Live Developer Experience!
In this keynote-style session, well take a detailed, granular look at the barriers to productivity developers face today and modern approaches for removing them. 10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, The Coding War Games.
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method, we invent to deliver products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches works? DORA? SPACE? DevEx? What should we invest in and create urgency behind today so we dont have the same discussion again in a decade?
William Maclyn Murphy McRae, a logistics expert with 9+ years of experience, is known for optimizing supply chain operations and consistently exceeding industry standards. His strategic approach, combined with hands-on execution, has streamlined distribution processes, reduced lead times, and consistently delivered exceptional results.
3. What does Open mean ?
Open means anyone can freely access, use,
modify, and share for any purpose (subject, at
most, to requirements that preserve provenance
and openness). ~ Opendefintion.org
5.
Open Data is going to help launch more
startups. Its going to help launch more
businesses. . . . Its going to help more
entrepreneurs come up with products and
services that we havent even imagined yet
President Barack Obama, May 9, 2013.
6. Maps Of Places with Open Data
Initiatives in Africa
Kenya
Ghana
Morocco
Tunisia
Nigeria
~ Open Data in Developing Countries by Leonida Mutuku and Christine M. Mahihu
#3: Community Manager for the Google Developer Group, Ibadan. A community that supports OPEN source technologies and helps members grow technically by leveraging on each others experience and expertise.
I am also the Operations Director for Wennovation Hub, Ibadan. A place where Enterprenuers are supported on their quest to change the world.
#5: Open data is based on the concept that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other mechanisms of control. However, republishing does imply citing the original source not only to give credit but to ensure that the data has not been modified or results misrepresented.
Enhanced transparency and accountability of the governments and agencies that release data; efficiency and improvements in Public Service delivery; enhanced inspection and collection of data through increased citizen engagement; and creation of economic and social value.
#6: This is the quote that starts the book Open Data Now by Joel Gurin.
Open data is data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.
#7: The earliest open data initiative launched in the US by President Obama in 2009.
Folllowed shortly after by European Union member States.
In Africa, developing countries own 12 of the 41 national open data platforms launched by 2013.
Kenya was the first Sub-Saharan and second African country to launch its open data Initiative after Morocco, later followed by Tunisia and Ghana. Continental data is provided through a platform developed by the African Development Bank, which became the first African regional entity to do so
#8: Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
Re-use and Redistribution: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets.
Universal Participation: everyone must be able to use, re-use and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, non-commercial restrictions that would prevent commercial use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.
#9: Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
Re-use and Redistribution: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets.
Universal Participation: Everyone must be able to use, re-use and redistribute - there should be no discrimination against fields of endeavour or against persons or groups. For example, non-commercial restrictions that would prevent commercial use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.
#11: Complete - All public data is made available. Public data is data that is not subject to valid privacy, security or privilege limitations.
While non-electronic information resources, such as physical artifacts, are not subject to the Open Government Data principles, it is always encouraged that such resources be made available electronically to the extent feasible.
Primary - Data is as collected at the source, with the highest possible level of granularity, not in aggregate or modified forms.
If an entity chooses to transform data by aggregation or transcoding for use on an Internet site built for end users, it still has an obligation to make the full-resolution information available in bulk for others to build their own sites with and to preserve the data for posterity.
Timely - Data is made available as quickly as necessary to preserve the value of the data.
Accessible - Data is available to the widest range of users for the widest range of purposes.
Data must be made available on the Internet so as to accommodate the widest practical range of users and uses. Data must be published with current industry standard protocols and formats, as well as alternative protocols and formats when industry standards impose burdens on wide reuse of the data.
Data is not accessible if it can be retrieved only through navigating web forms, or if automated tools are not permitted to access it because of a robots.txt file, other policy, or technological restrictions.
Machine Processable - Data is reasonably structured to allow automated processing.
Non-discriminatory - Data is available to anyone, with no requirement of registration.
Anonymous access to the data must be allowed for public data, including access through anonymous proxies. Data should not be hidden behind walled gardens.
Non-proprietary - Data is available in a format over which no entity has exclusive control.
License-free - Data is not subject to any copyright, patent, trademark or trade secret regulation. Reasonable privacy, security and privilege restrictions may be allowed.