1) The document discusses how open data can support smart and sustainable development through enabling innovation, creative economies, and ICT applications in areas like disaster management and smart learning.
2) It provides examples of how open data principles and policies can be developed, highlighting the importance of context, content, and impact.
3) JKUAT's open research data policy and open data platform are presented as case studies of enabling open data sharing and its benefits.
Presented at the:
Canadian Aviation Safety Collaboration Forum
International Civil Aviation Organization (ICAO)
Montreal, QC
January 23, 2019
This presentation was made in real-time while attending the Forum. The objective was to observe and listen, and share some examples outside of this community that may provide insight about data sharing models with a focus on governance.
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
Presented at the:
Canadian Aviation Safety Collaboration Forum
International Civil Aviation Organization (ICAO)
Montreal, QC
January 23, 2019
This presentation was made in real-time while attending the Forum. The objective was to observe and listen, and share some examples outside of this community that may provide insight about data sharing models with a focus on governance.
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked ...European Data Forum
Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?
OECD workshop on measuring the link between public procurement, R&D and innov...STIEAS
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R A Longhorn Presentation at Taiwan Open Data Forum, Taipei, 9 July 2014GSDI Association
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EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
Presentation on Bassetlaw District Council's experience with Open Data and the Bassetlaw Open Data site. Presented by Andrew Brammall, Strategic ICT Manager at Bassetlaw District Council, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
Susanna Sansone's talk at the "Beyond Open" Knowledge Dialogues/Open Data Hong Kong event on research data, hosted at the Hong Kong Innocentre on Monday 20 November 2017.
RDM and data sharing landscape: overview for Salford DCC training 20140522L Molloy
Research data management and data sharing: a brief overview of where we are in the UK right now and some main drivers and benefits. Prepared for Salford university Digital Curation Centre training session, 22 May 2014. Contains material from across DCC resources.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
OECD workshop on measuring the link between public procurement, R&D and innov...STIEAS
OECD workshop on measuring the link between public procurement, R&D and innovation. "Impacts of Korean innovative procurement policies", presentation by Woosung Lee
R A Longhorn Presentation at Taiwan Open Data Forum, Taipei, 9 July 2014GSDI Association
Big Data Meets Open Data: Challenges and Issues presentation of Roger Longhorn, Operations & Communications Manager, GSDI Association, delivered at the Taiwan Open Data Forum, 9 July 2014 in Taipei
EDF2014: Allan Hanbury, Senior Researcher, Vienna University of Technology, A...European Data Forum
Selected Talk by Allan Hanbury, Senior Researcher, Vienna University of Technology, Austria at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Conquering Data in Austria: a technology roadmap
Presentation on Bassetlaw District Council's experience with Open Data and the Bassetlaw Open Data site. Presented by Andrew Brammall, Strategic ICT Manager at Bassetlaw District Council, at Really Useful Day: Making use of Open Data for public services on 27 March 2015 in St Albans.
Susanna Sansone's talk at the "Beyond Open" Knowledge Dialogues/Open Data Hong Kong event on research data, hosted at the Hong Kong Innocentre on Monday 20 November 2017.
RDM and data sharing landscape: overview for Salford DCC training 20140522L Molloy
Research data management and data sharing: a brief overview of where we are in the UK right now and some main drivers and benefits. Prepared for Salford university Digital Curation Centre training session, 22 May 2014. Contains material from across DCC resources.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Data ecosystems: turning data into public valueSlim Turki, Dr.
Africa Information Highway Live Exchange #Session 7
8 October 2021
The AIH Live Exchange between the Africa Information Highway Team, partners and countries is a free monthly webinar hosted by the African Development Bank to discuss topics related to government data and statistics. This webinar series is the main platform for countries to share their experiences and best practices around open data including using their Open Data Platform of the AIH.
This session is co-organized with the Luxembourg Institute of Science and Technology (LIST) which is a mission-driven Research and Technology Organization (RTO) that develops advanced technologies and delivers innovative products and services to industry and society. These innovations can also be used to solve several societal challenges, particularly in the areas of the environment, security, education and culture, sustainable development, as well as the efficient use of resources.
Official statistical data are recognized as high-value datasets for the society and economy, to enrich research, inform decision making or develop new products and services. The use of these authoritative data sources contributes to building a society with more empowered people, better policies, more effective and accountable decision-making, greater participation and stronger democratic mechanisms.
Official statistics are produced to be used and re-used to make an impact on society through a higher degree of openness and transparency while ensuring confidentiality and, at the same time, providing equal access to information to citizens.
The value of data lies in its use and re-use. In this interactive webinar, you will learn new techniques to improve the use and re-use of your statistical data, going beyond the provision logic and adopting the ecosystem mindset. You will:
● Sharpen your capacity at identifying and engaging users and re-users and stakeholders (data ecosystem mapping)?
● Effectively tackle technical and organizational barriers to stimulate data use and re-use?
● Smartly orchestrate a self-sustainable data ecosystem to increase the impact of statistical data.
This session is an opportunity for Regional members countries to '' Sharpen their skills in making data used and re-used by developing an ecosystem mindset to effectively build sustainable community of users around their Open Data Platform thus promoting transparency and better decision-making”
FAIR data: what it means, how we achieve it, and the role of RDASarah Jones
Presentation on FAIR data, the FAIR Data Action Plan developed by the European Commission Expert Group and the role of the Research Data Alliance on implementing FAIR. The presentation was given at the RDAFinland workshop held on 6th June - https://www.csc.fi/web/training/-/rda_and_fair_supporting_finnish_researchers
Supporting access: interventions that seek to improve the ways in which decision makers are able to access research based information.
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Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
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Data management plans – EUDAT Best practices and case study | www.eudat.euEUDAT
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OpenAIRE in the European Open Science Cloud (EOSC)OpenAIRE
Openness is the success factor for EOSC. OpenAIRE has been working in delivering an open access scholarly communication in Europe for the past 10 years and we now present how our work fits into the EOSC core developments
A presentation given on the Horizon 2020 open data pilot as part of a series of OpenAIRE webinars for Open Access week 2014 - http://www.fosteropenscience.eu/event/openaire-webinars-during-oa-week-2014
The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...OpenAIRE
Sarah Jones (HATII, Digital Curation Center) will provide more information on the Open Research Data Pilot in H2020: who should participate and how to comply (in collaboration with FOSTER)
Date: Tuesday, October 21 2014
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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How to Create Map Views in the Odoo 17 ERPCeline George
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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
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Open data for innovation, smart and sustainable prof muliaro
1. Open Data for Innovation, Smart and Sustainable
Development
Prof Muliaro Wafula, PhD, FCCS, FCSK
Director, iCEOD and Associate Prof Computing Department JKUAT
muliaro@icsit.jkuat.ac.ke
ARFICA ai JAPAN Project Innovation Seminar Presentation April 6, 2017 at JKUAT
2. Open Data support for Smart and Sustainable
Development (SSD)
Open Data Value (EU ,2016)
3. Creative Economy based on Open Data
Source: Asia-Pacific Regional Forum on e-Government, Smart Cities, and Digital
Societies for Sustainable Development, August, 2015, Bangkok, Thailand
5. Use of ICT for Disaster Management
Develop early warning systems
Enhancing coordination, cooperation, and logistics;
Develop databases of key disaster response agents
Adopt and implement Tempere Convetio
calls for streamlining of disaster relief process by waiving regulatory barriers & and putting in place
procedures that maximize access life saving ICT systems (SSDM Report, 2015)
6. Smart learning
Make learning process adaptive, effective, efficient, engaging, flexible and accessible
(Spector, 2014).
Provide learner‐centred environments that are intelligent and open, and integrate digital
virtual reality learning (Zhong & Zhang, 2006)
Use quality education to achieve SDGs- Poverty, hunger, good health, quality education,
gender equality, clean water & energy, economic growth, smart cities etc
7. Smart Sustainable Cities
Deploy IoTs and sensors
Install instruments for data collection and processing in support for efficient & effective
city mgt & planning
Build human capacity needed to support proper use of ICT
Build reliable heterogeneous ICT systems that support interoperability
Enable use and aggregation of data by systems and services
8. The Value of Open Data Sharing
Benefits in the areas of:
Economic Benefits
Social Welfare Benefits
Research and Innovation Opportunities
Education
Governance
Available at http://dx.doi.org/10.5281/zenodo.33830
9. FAIR Data recommended ?
• FAIR Data
• Findable: have sufficiently rich metadata and a unique and persistent identifier.
• Accessible: retrievable by humans and machines through a standard protocol; open
and free; authentication and authorization where necessary.
• Interoperable: metadata use a ‘formal, accessible, shared, and broadly applicable
language for knowledge representation’.
• Reusable: metadata provide rich and accurate information; clear usage license;
detailed provenance.
• FAIR Guiding Principles for scientific data management and stewardship,
http://dx.doi.org/10.1038/sdata.2016.18
• Guiding Principles for FAIR Data: https://www.force11.org/node/6062
10. Open Data limits
For data created with public funds or where there is a strong demonstrable public
interest, Open should be the default.
As Open as Possible as Closed as Necessary.
Proportionate exceptions for:
Legitimate commercial interests (sectoral variation)
Privacy (‘safe data’ vs Open data – the anonymisation problem)
Public interest (e.g. endangered species, archaeological sites)
Safety, security and dual use (impacts contentious)
11. Open Data Policy Development
• Open Data policy development need to be based on the following three pillars:
1. C-context
2. C-content
3. I-impact
11
12. Policy Context Pillar
Key factors include:
Level of Gov organization
Key motivations, policy objectives
Open data platform launch
Resource allocation & economic context
Legislation
Social, cultural & Political context
Drivers for open data
Forces against Opening data
12
13. Policy Content Pillar
Key factors include:
Licensing
Access fee
Data restriction
Data presentation
Contact with user
Amount published
Processing before publishing
Cost of opening
Types of Data
Data Formats & stds
Data quality
Provision of metadata
13
14. Policy Impact Pillar
Key factors include:
Re-use of published data
Possible predicted risks
Benefits aligned with motivation
Public value
Transparency & accountability
Economic growth
Entrepreneurial open data use/ innovation
Efficiency
Environmental sustainability
Inclusion of marginalized
14
15. Key Strategic Pillars of Sustainable Open Data Programs
Support open data infrastructure build based on open data policies standards and
supportive legal and licensing frameworks
Make data publishing and access available and easy
Create feedback channels for data users
Prioritize dataset that users want
Address quality issues of datasets
Protect privacy rights
Provide clear, consistent, and useful metadata
15
16. JORD Policy
JKUAT developed and implemented an open research data policy (JORD) Policy (February
2016)
JORD expected benefits include
1. ROI
2. Encouragement of diverse studies and opinion
3. Promotion of new areas of work not envisioned by the initial investigators.
4. Strengthen the credibility of scholarly publications
5. Development of new products and services
6. Support JKUAT open data platform (https://opendata.jkuat.ac.ke
16
18. Innovative Open Data and Visualization (iODaV)
The specific objectives of AFRICA ai JAPAN Project Sub-Task Force are as follows:
Enable and promote innovations based on open research data published, preserved and
accessible for sharing and reuse.
Enable and promote innovations and decision making process through use of data,
information and scientific visualization
Support Smart Learning
Support and promote conformity with open data principles, standards and JKUAT Open
Research Data (JORD) Policy
Support and enable multidisciplinary research activities.
Enable use and reuse of research data to accelerate innovations and achievement of the
Kenya Vision 2030, and the UN Sustainable Development Goals (SDGs) in Kenya and the
region
Link and be linked to other open data platforms.
19. Kyoto University –Viz Lab & iCEOD Collaboration
0.000
10.000
20.000
30.000
40.000
50.000
1
933
1865
2797
3729
4661
5593
6525
7457
8389
9321
10253
11185
12117
13049
13981
14913
15845
16777
17709
18641
19573
20505
21437
22369
23301
24233
25165
Q m3/s
Building collaboration:
Scientific, Data and Information Visualization
technologies for manufacturing, innovation, insight and
policy making
High Performance Computing-HP Simulate Complex
problems and solve (Kyoto has HPC, Kenya has 4
undersea Internet Cables-Good Internet connectivity)
Capacity Building-train short JICA training, MSc and PhD
Student & Staff Exchange
Joint research projects of mutual/common interest
Use FEMAP Engineering Software to improve design and
innovation in manufacturing sector and Building
Construction Industries
Causality Determination
21. Bibliography
• Spector, J. M. (2014). Conceptualizing the emerging field of smart learning environments.
Smart Learning Environments, 1 (2), http://www.slejournal.com/content/1/1/2
• Smart and Sustainable Development (SSD) Report 2015
• World Economic Forum Report, March 2015
• Zhong, G., & Zhang, X. (2006). A building of the current intelligent learning environment
mode. Computer Science, 1, 170‐171.
• Simon Hodson. RDM-Policy, High-Level Implementation and Best Practice. Danish Agency
for Science and Higher Education. Copenhagen, Denmark. 21 February 2017