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Open Data
Characteristics, Issues and Opportunities
Hello!
I am Gbolahan Alli
I am here because I support OPEN initiatives.
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
What is Open Data ?1

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.
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
What are the
characteristics of Open
Data ?
Key Characteristics of Open
Data
 Availability and Access
 Re-use and Redistribution
 Universal Participation
Open Government Data
Must abide by 8 Key Principles
~ https://opengovdata.org/
 Complete
 Primary
 Timely
 Accessible
It must be .
 Machine processable
 Non-discriminatory
 Non-proprietary
 License-free
~ https://opengovdata.org/
What are the issues
associated with Open Data ?2
Most Important ones are :
Privacy Technical Skill Usability
Others include :
 Political Context
 Legal Context
 Data Redundancy
 Sustaining the Cost of Storage, Delivery and Maintenance
What are the Opportunities ?
First things first.
Technology is an enabler and
cannot stand alone.
Software and Hardware
They both work together
but.
Software and Hardware
.they need a data source
What has been done ?
Enables citizens to get to
the ballot box informed
and ready.
GOTTOVOTE
Uses a simple approach
of turning budget
documents into
infographics
BudgIT
Benefits to the Country
New StartUps
Informed
Citizens
Cost
Savings
Thanks!
Any questions?
You can reach me:
 @purple_heart_me
 gbolahan@wennovationhub.org

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Open data Festival Sierra Leone

Editor's Notes

  • #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.