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.
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.
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.
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.
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.
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.
A proposed solution for changing the development landscapeThulo Monyatsi
A summary of how data can be used to change lives and develop trust, equity and value on service deliver - focusing on data infrastructure policy; Tools and Techniques; Functional Autonomy of Organizations; and Data Literacy to increase demand for quality data.
Talk delivered at London Natural History Museum's "Informatics Horizons for the Natural History Museum" video and programme here
http://scratchpads.eu/NHMInformaticsday
Presentation by Kelly Hart, ONDC in PM&C, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The presentation analyses the open data movement across the world and in India. The current experiments in benchmarking open data initiatives are also briefly mentioned.
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.
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.
A proposed solution for changing the development landscapeThulo Monyatsi
A summary of how data can be used to change lives and develop trust, equity and value on service deliver - focusing on data infrastructure policy; Tools and Techniques; Functional Autonomy of Organizations; and Data Literacy to increase demand for quality data.
Talk delivered at London Natural History Museum's "Informatics Horizons for the Natural History Museum" video and programme here
http://scratchpads.eu/NHMInformaticsday
Presentation by Kelly Hart, ONDC in PM&C, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The presentation analyses the open data movement across the world and in India. The current experiments in benchmarking open data initiatives are also briefly mentioned.
Open Data and Transparency may be the most powerful levers of 21st century public policy. They present multiple opportunities offering benefit to the public sector, individuals, businesses and the UK as a whole. Open Data enables accountability; it improves outcomes and productivity in key services through informed comparison; it transforms social relationships – empowering individuals and communities; and it drives dynamic economic growth.
One story indicates how open data and transparency can help to transform a service: Five years ago, Sir Bruce Keogh, then a cardiac surgeon in Birmingham, convinced his fellow cardiac surgeons to publish their individual patient mortality rates. Five years later, death rates have fallen. Sir Keogh’s work demonstrates how transparency compliments the work of our public service professionals, improves public service quality and performance, and saves lives.
But making data open is not enough, we will also establish mechanisms to promote and collate feedback from those actually using the data. And we will use this feedback to improve our services and ensure they respond to real needs.
The UK Government new Transparency Strategy: “Making Open Data Real” was published on 4th August and is open for public consultation until 27 October 2011 at www.data.gov.uk/openda.... This, together with the UK’s existing strong record on Transparency and Open Data, means that our focus will fall on the Open Government Partnership grand challenges of:
* Improving Public Services; and
* More Effectively Managing Public Resources.
We will consult publicly on this country action plan primarily via existing fora, including the Public Sector Transparency Board; the Local Public Data Panel and the Transparency Sector Boards that are currently being established. These bodies already advise the Government on wider transparency and Open Data issues. In addition, we will also convene and consult with a wider group of stakeholders to consider the country plan specifically.
http://www.opengovpartnership.org/countries/united-kingdom
http://www.data.gov.uk/opendataconsultation
This deck of slides outlines the key aspects of the Open Data Readiness Assessment or ODRA and was presented in the consultative workshop on Rwanda Open Data Policy organized by the Ministry of Youth & ICT (GoR) and the World Bank.
Open Government Data for Transparency & Innovation by Mrs Neeta Verma, Deputy Director General, National Informatics Centre, Department of Electronics and Information Technology (DeitY), Government of India.
E-Government and E-Health Strategies by Mrs. Veronica Boateng,Director, Application Systems Ghana Information and Communications Technology Directorate (GICTeD)
Aligning stakeholders' perspectives in Open Government Data CommunityAdegboyega Ojo
Open Government Data (OGD) has gained momentum and a large number of portals have become available providing all kind of data. There are many practices available and all kind of technologies enabling the opening of data. Yet the field is fragmented and effective use of open data requires knowledge found in different communities. The goal of the proposed workshop is two-fold. First it aims to contribute to better and shared understanding of concerns across core stakeholder groups in the OGD community. Second, it intends to show and discuss how some emerging technological solutions in the social semantic web and linked data technology domain could effectively address some of these concerns when considered as a part of a socio-technical ensemble.
обновленный циркуляр A-130, определяющий государственную IT-политику. Изменения подготовило административно-бюджетное управление США (Office of Management and Budget, OMB).
This is the HSCIC's draft five-year strategy. A consultation is now open, until February 27th, to gather your feedback. Please have your say and help to shape our future. http://bit.ly/16o8zfk
Open Government Partnership, Open Data and FOI – A road map towards convergencemauricemcn
A joint presentation made at the "Regional Conference on Freedom of Information Laws (FOI) in the Caribbean – Improving Management for the Environment" This presentation, delivered jointly by Dr Maurice McNaughton, Mona School of Business & Management, University of West Indies and Mrs Carole Excell, Senior Associate, World Resources Institute, sought to explore the philosophical differences and institutional synergy between the FOI and Open Data communities.
Similar to Open data policy presentation/Mr. Silas Ngabirano (20)
Presentation on behalf of the SA Weather Service presented during SA National Science Week - The harsh realities of climate change, 29 July to 2 August 2019.
Presented at a NeDICC (Network of Data and Information Curation Communities) meeting, 14 March 2019, CSIR, and at the University of Pretoria and the Carnegie Corporation of New York Capstone Conference, 24-29 March 2019, Kieviets Kroon.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
tapal brand analysis PPT slide for comptetive data
Open data policy presentation/Mr. Silas Ngabirano
1. Open Data Policy Presentation
on
National Dialogue on Open Data
MoICT & NG
25th April 201
2. Presentation Layout
1. Definitions
2. Vision, Objectives and Scope of the policy
3. Legal and Regulatory Environment
4. Guiding Principles
5. Action Areas
6. Governance Framework
7. Institutional Framework
8. Funding
9. M & E
10. Implementation
2
3. 1. Definitions
• Open Data refers to the concept that information & data should be
made available for everyone to access, reuse, & redistribute without
any restrictions.
• Open Government Data (OGD) refers to open public data.
• Open governance – citizens have the right to access docs &
proceedings of gov’t to allow for effective public oversight.
• Metadata - Data that describes or defines other data.
• Aggregated data - A form of anonymization of unit records involving
combinations such that individual details cannot be discerned from
the data.
3
4. 2. Vision, Objectives & Scope
Vision: to embed a culture of ‘open data by default’ within the Uganda public
sector in order to drive public service efficiency, stimulate innovation and
economic development.
Main objective: to ensure the availability & proper management of open
government data.
Specific objectives:
i. To ensure that gov’t data & info shall be publicly available;
ii. To provide a framework for implementation of OGD initiatives;
iii. To create a single point of access to public sector open data;
iv. To ensure compliance with open data standards & legislation;
v. To encourage & drive uptake of open data;
vi. To promote the development of data analytic skills.
4
5. 2. Vision, Objectives & Scope Cont’d…
The Policy applies to all MDAs & LGs plus Government Consultants,
Contractors & recipients of Government funding.
The Open Data Policy applies to data in the custody or under the control of all
MDAs. The focus of the Policy is raw data (data not yet subjected to analysis
or interpretation) but can also apply to other types of info such as data that
has been processed to provide greater value.
The Policy also applies to all new data collection & creation, development of
systems that collect or create data, & any projects that update existing data
systems.
5
6. 3. Legal & Regulatory Environment
• The Constitution of the Republic of Uganda, 1995 (As Amended)
• The Public Finance Management Act, 2015
• The Computer Misuse Act, 2011
• The Electronic Transactions Act, 2011
• The Electronic Signatures Act, 2011
• Access to Information Act, 2005
• Official Secrets Act, Cap 302, Laws of Uganda
• The National IT Policy Framework
• National e-Government Policy Framework
• The Electronic Media Act, 1996
• Public Libraries Act, Cap 136, Laws of Uganda
• The Copyrights Act, Cap 215, Laws of Uganda
• The Press and Journalist Statute, 1995
• National Records and Retention Act, 2001
• The National Information Security Framework (NISF), 2013
• The Data Protection and Privacy Bill
6
7. 4. Guiding Principles
1. Access to Open Data;
The open data platform shall be accessible through GOU open
data portal, which shall provide a single point of access to the
OGD.
Not all data shall necessarily be held on this portal, but it shall be a
means of directing users to the data they require.
2. Use of open standards to ensure interoperability
This policy shall mandate an appropriate standard for metadata to
adhere to in order to enable interoperability with the central
metadata catalogue on the open data platform.
7
8. 4. Guiding Principles Cont’d…
3. Data Presentation
All dataset owners shall publish their data in structured
open formats e.g. text files, csv.
4. Providing for Open Data in e-Government;
The ability to publish open data shall be built into all
public sector contracts & procurements. Shall also
ensure that the intellectual property rights of public
sector data stay with the public entities and not 3rd
party service providers.
8
9. 4. Guiding Principles Cont’d…
5. Copyright and Intellectual Property Rights;
Unless otherwise stated the users shall be free to copy, publish,
distribute, adapt & exploit the information commercially or
otherwise so long as they acknowledge the source of the
information via an attribution statement.
6. Feedback mechanisms
Feedback loops on data quality shall be developed via the open
data platform. This shall facilitate users to submit comments &
feedback to data publishers to drive improvement in the data
over time.
9
10. Guiding Principles Cont’d…
7. Updating of published datasets
It shall be mandatory to periodically update all datasets published on the
OGD portal.
8. Restricted data
Restricted data shall include PII, data with security connotations,
commercial information & data with IPR restrictions.
9. Data archiving
Effort shall be made to create a permanent & lasting access to time
stamps of data by creating an archiving policy that is aligned to the
provisions of the National Records Policy.
Subsequently, strategies and guidelines for data archiving by MDAs shall
be developed that also take into consideration the current best practice.
10
11. 5. Action Areas
i. Legal and Regulatory; Conduct a due diligence review of
existing legislation, regulations and policies relevant to open
data to identify gaps and inconsistencies.
ii. Open Data Working Group; Constitute an Open Data
Working Group to drive the open data initiative in
Government.
iii. Establish OGD portal; The open data portal provides a “one-
stop shop” for users to find government data regardless of
which ministry provides it
11
12. 5. Action Areas Cont’d…
iii. Identify high-value datasets for initial release; select 4-6
high value data sets that can be made publicly available at
short notice.
iv. OGD in e-Government; provide for an open data in the
development and implementation of e-government systems
e.g. IFMS (Finance), IPPS (Public Service), HMIS (health),
EMIS (education) PIMIS (OPM), the URSB registry system etc.
v. Innovation vs OGD; Partner with the business community,
innovation hubs, researchers & CSOs to transform OGD into
new economic opportunities.
12
13. 5. Action Areas Cont’d…
vii. Promote the accessibility & usability of OGD; e.g.
encourage MDAs and LGs to release data in standard,
machine-readable formats.
viii. Funding; Identify & allocate funding for open data activities.
ix. M & E; Implement data monitoring and feedback systems to
impact of publishing data & also to identify demand for
data.
13
14. 6. Governance Framework
MoICT & NG shall lead the overall coordination of the development and
implementation of the Open Data Policy.
MDAs & LGs shall perform a self-assessment based on a compliance
checklist or other parameters as may be directed by the MoICT & NG.
Entities shall undertake their utmost efforts to disclose information to
the public & ensure such disclosure is useful.
The MoICT, MoFPED, OPM, and NITA-U through a Steering Committee &
Technical Committee shall help to improve the interoperability &
openness of government data.
14
15. 7. Institutional Framework
1. Ministry of ICT & NG
i. Issue guidance for all MDAs to publish open data consistent
with best practices;
ii. Ensure that the ICT staff in MDAs have adequate technical
skills to implement OGD;
iii. Ensure that the e-government systems have adequate
provisions for implementing OGD;
iv. Provide technical support to MDAs in developing institutional
open data plans;
v. Develop the OGD catalogue;
vi. Establish the OGD portal.
15
16. 7. Institutional Framework cont’d…
2. OPM
i. Engage citizens & advocate for new ways to use open data to improve
performance management and service delivery
ii. Monitor and Evaluate the compliance of Agencies to the Policy
iii. Issue supplemental Policy on categories of Data that shall be made
publicly available and listed in the OGD Catalogue;
iv. Issue procedures and best practices to support the Open Data Policy;
v. Ensure the OGD Portal and the OGD Catalogue are managed in
accordance with the requirements set out in this Policy;
vi. Recommend types of Data that may or shall be made available as Open
Data through the Open Data Catalogue;
vii. Provide instructions or advise any action that Government Agencies
shall undertake to support effective implementation of this Policy.
16
17. 7. Institutional Framework cont’d…
3 Ministry of Finance planning & Economic Devt
i. Provide guidance to MDAs/LGs to budget for Open Data
activities as per their work plans.
ii. Ensure the availability of OGD for the finance sector
4 Ministry of Public Service
i. Provide guidance on integration of Open data best practices
in Polices, Management Systems, Procedures and Structure
of the Public Service
17
18. 7. Institutional Framework cont’d…
5 Ministry of Justice & Constitutional Affairs
i. Provide legal advice & services with regard to OGD;
ii. Provide technical guidance & support to the development of
a comprehensive legal framework for Open Data
governance.
iii. Conduct a full due diligence review of existing legislation,
regulations and policies relevant to open data to identify
gaps & inconsistencies.
18
19. 7. Institutional Framework cont’d…
6 UCC
i. Regulate the release & circulation of data across
telecommunications, radio, television and postal and courier
services industry.
ii. Create partnerships with telecommunications providers,
intermediaries & businesses to help provide access to data in
rural & low-bandwidth areas.
iii. Sponsor open data competitions.
19
20. 7. Institutional Framework cont’d…
7 NITA-U
i. Provide data hosting services for OGD
ii. Initiate partnerships with developers & innovation hubs to
begin to unlock the economic value of OGD
iii. Issue the Government Enterprise Architecture and
Interoperability Framework for utilization to maintain
interoperability, data standards & processes related to data
management;
iv. Provide technical support & guidance to MDAs in the
preparation of their datasets & in adhering to best practices
for data management;
v. Operationalize the open data catalogue.
20
21. 7. Institutional Framework cont’d…
8. Uganda Bureau of Statistics (UBOS)
i. Internally identify & coordinate the development of high
priority datasets for early release.
ii. Provide technical oversight with respect to data
management, data production;
iii. Provide technical guidance and support in the development
of open data standards.
21
22. 7. Institutional Framework cont’d
9 National Planning Authority (NPA)
• Identify and ensure that provisions for open data are embedded
in the NDPs.
10 PPDA
• The PPDA shall ensure that authorized information about
Government Agencies Procurements (e.g. Procurement laws,
contract awards, contractor performance, contract status, etc.)
be made available in form of Open Data.
22
23. 8. Funding
Financial resource mobilization shall include;
i. Contributions from the national budget;
ii. Contributions from the RCDF & any other established Funds
supporting ICT e.g. Innovation Fund;
iii. NTR from ICT services offered by the Agencies.
iv. Contributions or sponsorship from national stakeholders or
local industries;
v. Contributions from bilateral & multilateral development
partners;
23
24. 9. M & E
This Policy shall be reviewed on an annual basis. This shall be led
by the OPM.
The various MDAs will directly monitor the key areas under their
mandate using their own budgets.
The MoICT & NG shall develop a policy monitoring tool that will
automate the collection, analysis & reporting of the open data
status.
24
25. 10. Implementation
The key milestones for the 1st year of the policy are:
i. Establish the open data governance framework;
ii. Develop standards and recommend format for publishing
the open data;
iii. Develop the OGD portal;
iv. Identify & publish high priority datasets;
v. Develop & implement a stakeholder engagement plan.
25
26. Some Open Data Sites
• Open Data in Uganda: http://www.data.ug
• Uganda Budget information: http://www.budget.go.ug
• Location info: http://maps.nemaug.org
• Developer data in Ug: http://www.opendevdata.ug
• Open Data for Africa: http://uganda.opendataforafrica.org/
• Code for Africa: http://www.codeforafrica.org
• Open africa: https://africaopendata.org/group/uganda
• Open Source: https://github.com/codeforafrica
26
In addition, the datasets should be presented in a machine process-able format, free of charge & should contain unclassified information.
Many open data initiatives which are initially successful in publishing data subsequently fail due to data not being refreshed.
For M & E Surveys of data users within Uganda as well as metrics built into the open data portal can help the Government to quantify and understand its efforts to improve usability.
Key institutions in creating a favorable institutional framework for policy formulation, coordination and implementation of open data are: