Open Science Policy Towards Achieving the SDGs/Muliaro Joseph Wafula
Open Science Policy towards
achieving the SDGs
Prof Muliaro Wafula PhD. FCCS,FCSK
Director ICT Centre of Excellence and Open Data (iCEOD)
Jomo Kenyatta University of Agriculture and Technology
Chair, Technical Advisory Board
African Open Science Platform
BioVisionAlexandria 2018, 20–22 April 2018
Towards Open Data/Science
Climate Change Conference- Kyoto University
Open Science supports SDGs.
• Science demands that you support your arguments
• Open research data are essential for
• Open data foster innovation and accelerate scientific
discovery through reuse of data .
FAIR: Findable, Accessible, Interoperable, Reusable.
Science International Accord on Open Data
in a Big Data World: http://www.science-
international.org/ (JKUAT has signed this
accord and over 100 institutions
What is Data Justice?
Fairness in the way people are made visible, represented and treated as a result
of their production of digital data (Linnet Taylor, 2017).
Development justice cannot be delivered without data justice (Heeks)
Data justice can serve as a “neutral” coordination point for trust-
Just & FAIR data now embodies the principles of United Nations (UN)
data revolution for Sustainable Development Goals (SDGs), which
emphasizes data release, data use and value addition.
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)
All these boundaries are fuzzy and need to be understood better!
There is a need to evolve policies, practices and ethics around closed, shared,
and open data.
Identify Hand Over?
Supporting the Research Data Lifecycle
OS- Open Science Policy
OA- Open Access Policy
OD- Open Data Policy
OR- Open Research Policy
JD- Just Data Policy
JFD- Just & FAIR Data
Open Science Policy Key building blocks
Just Data (JD)
• Open Access
• Open Data
• Open Reproducible Research
• Open Science Evaluation
• Open Science tools
• Justice Data
• Trust building
• Reusable (FAIR)
Open Science Policy
Open Access Policy
Open Research Data
Open Data Policy
OS for SDGs
Source: World Economic Forum Report, March 2015
Open Science Policy for SGDs
• Open Data policy development need to be based on the following three pillars:
Policy Context Pillar
Key factors include:
Level of Gov organization
Key motivations, policy objectives
Resource allocation & economic context
Social, cultural & Political context
Drivers for open Science
Policy Content Pillar
Contact with user
Processing before publishing
Cost of opening
Types of Data
Data Formats & stds
Provision of metadata
Policy Impact Pillar
Key factors include:
Re-use of published data
Possible predicted risks
Benefits aligned with motivation
Transparency & accountability
Inclusion of marginalized
Open Science Policy implementation
towards achievement of SDGs
• Have an open data, open research data, and open science polices
• Ensure easy to understand content & formatting
• Release high-value and high-impact data first
• Ensure compatibility and interoperability
• Establish data ownership
• Involve stakeholders
• Plan for open research data advocacy
• Implement interaction and feedback mechanism
• Build communities of data producers and users
• Organize training programs
Global trends in Open Access to Research Data
• According to the European University Association (EUA) survey 2016/17
• Only 11.6% institutions had guidelines on Open Access to research data 17
Linking Funders Policies with Open Science policies
would strengthen achievement of SDGs
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