The document introduces GBIF and discusses its origins, operations, and activities in Africa. It can be summarized as follows:
1) GBIF was established in 2001 to make biodiversity data accessible worldwide and now connects over 1,000 data publishers through its online portal.
2) The GBIF network includes data publishing institutions, national nodes coordinating activity, and a governing board that oversees secretariat operations in Copenhagen.
3) In Africa, GBIF aims to increase available biodiversity data through projects that strengthen national networks and mobilize data to support policy needs like protected areas and invasive species.
Parker allie_Mobilising biodiversity data for science and policy in South Afr...Fatima Parker-Allie
Biodiversity Informatics in South Africa, as in other parts of the world, is a young and dynamic field of science, which translates into an enormous challenge for biodiversity scientists. Understanding mechanisms for information sharing in this landscape has been successful over time. The South African National Biodiversity Institute, houses the GBIF Node, and supports a knowledge-management platform, which makes biodiversity data freely and openly available. The South African Biodiversity Information Facility (SABIF) is a major publisher of biodiversity data, making >11.5 million biodiversity data records available, from a growing network of more than 15 organisations, to the global scientific community. Data standards such as the Darwin Core, and protocols such as TAPIR and the Integrated Publishing Toolkit have been used. Data sharing takes place through both funded and non-funded mechanisms, to initiate digitization activities. A comprehensive policy framework has also been put in place by SANBI, to enable data sharing which takes into account intellectual property rights, citations and sensitive data. The scope of data of types being mobilized is increasing through the Foundational Biodiversity Information Programme with species, specimens, observation, images and molecular data being mobilised, and made accessible. The Information Architecture is evolving to support these data types and to ensure that relevant data can be accessed efficiently in support of science, policy and decision making.
Developing the field of Biodiversity Informatics in South Africa through the ...Fatima Parker-Allie
Presentation looks a developing the field of informatics, and the use and application of Biodiversity data through a showcase example of the use of marine data and the impacts of climate change on fish species under current and future climate scenarios
"The Agricultural Growth and Development Policy (AGRODEP) Modeling Consortium" presentation by Tidiane Ngaido, Ousmane Badiane, Maximo Torrero, and Antoine Bouet at the NEPAD, IFPRI, AGRA and World Bank Meeting to Align Efforts on Agricultural Policy and Knowledge Systems, Dakar, Senegal, January 6-7, 2009.
Parker allie_Mobilising biodiversity data for science and policy in South Afr...Fatima Parker-Allie
Biodiversity Informatics in South Africa, as in other parts of the world, is a young and dynamic field of science, which translates into an enormous challenge for biodiversity scientists. Understanding mechanisms for information sharing in this landscape has been successful over time. The South African National Biodiversity Institute, houses the GBIF Node, and supports a knowledge-management platform, which makes biodiversity data freely and openly available. The South African Biodiversity Information Facility (SABIF) is a major publisher of biodiversity data, making >11.5 million biodiversity data records available, from a growing network of more than 15 organisations, to the global scientific community. Data standards such as the Darwin Core, and protocols such as TAPIR and the Integrated Publishing Toolkit have been used. Data sharing takes place through both funded and non-funded mechanisms, to initiate digitization activities. A comprehensive policy framework has also been put in place by SANBI, to enable data sharing which takes into account intellectual property rights, citations and sensitive data. The scope of data of types being mobilized is increasing through the Foundational Biodiversity Information Programme with species, specimens, observation, images and molecular data being mobilised, and made accessible. The Information Architecture is evolving to support these data types and to ensure that relevant data can be accessed efficiently in support of science, policy and decision making.
Developing the field of Biodiversity Informatics in South Africa through the ...Fatima Parker-Allie
Presentation looks a developing the field of informatics, and the use and application of Biodiversity data through a showcase example of the use of marine data and the impacts of climate change on fish species under current and future climate scenarios
"The Agricultural Growth and Development Policy (AGRODEP) Modeling Consortium" presentation by Tidiane Ngaido, Ousmane Badiane, Maximo Torrero, and Antoine Bouet at the NEPAD, IFPRI, AGRA and World Bank Meeting to Align Efforts on Agricultural Policy and Knowledge Systems, Dakar, Senegal, January 6-7, 2009.
Delivering systematic information on indigenous farm animal genetic resources...ILRI
Presented by Tadelle Dessie at the National Institute of Animal Science (NIAS) Meeting on Development of Genomic Characterization Protocols for Rational Conservation and Utilization of Avian Genetic Resources, South Korea, October 2011.
2010-11 CIARD - Bridging Rural Digital Divide (Brasil) - EnglishCIARD
Presentation by Dr. Stephen Rudgard
Chief, Knowledge and Capacity for Development
Food and Agriculture Organization of the United Nations (FAO).
III Conferência Internacional sobre Inclusão Digital e Social Brasilia, Brasil. 16-19 Novembre , 2010
Agricultural Data Interest Group & Wheat Data Working Group of RDAVassilis Protonotarios
Presentation delivered during the "Engagement in RDA from Southern-Eastern Europe, Mediterranean and Caucasus region" Workshop. 25/6/2015, Athens, Greece
ASARECA and UniBRAIN Implementation in Eastern and Central Africaasareca
Role of ASARECA: Linking Incubators with research through:
Sensitization of National & regional Research systems on UniBRAIN
Identification of research areas to be addressed
Identification of research products
Ensuring fair use of research products
Working with other partners to ensure smooth implementation
A Field Manual for the Preparation of a Participatory Community Development P...copppldsecretariat
This manual on community-based participatory approach is a training guide for a range of users and potential stakeholders: community members, extension staff, researchers, local and central administrators, NGO staff, policy makers, private institutions/associations, donors and others. The manual is easy to follow, with clear definitions of terminology, and is well structured to show the different steps of the community-based participatory approach. The main steps involved in elaborating the participatory community development plan are presented as a sequence of steps, with all necessary details for the various users and stakeholders.
The manual is the outcome of many years of experience involving many stakeholders in different countries and settings. We are indebted to all our partners for their highly-valued contributions.
[ Originally posted on http://www.cop-ppld.net/cop_knowledge_base ]
CountrySTAT Regional Basic Administrator Training for GCC Member States/ Intr...FAO
"http://www.countrystat.org
CountrySTAT can contribute toward the centralization, harmonization, standardization, integration and validation of data on food and agriculture coming from different sources within the GCC Region."
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Regional Engagement:Towards the Establishment of a Data-Science Platform for ...Fatima Parker-Allie
Presentation conducted at the GBIF Governing Board 19 Meeting in Norway. Presentation focused on the GBIF Africa Network and the establishment of a Data-Science Platform for Africa
Delivering systematic information on indigenous farm animal genetic resources...ILRI
Presented by Tadelle Dessie at the National Institute of Animal Science (NIAS) Meeting on Development of Genomic Characterization Protocols for Rational Conservation and Utilization of Avian Genetic Resources, South Korea, October 2011.
2010-11 CIARD - Bridging Rural Digital Divide (Brasil) - EnglishCIARD
Presentation by Dr. Stephen Rudgard
Chief, Knowledge and Capacity for Development
Food and Agriculture Organization of the United Nations (FAO).
III Conferência Internacional sobre Inclusão Digital e Social Brasilia, Brasil. 16-19 Novembre , 2010
Agricultural Data Interest Group & Wheat Data Working Group of RDAVassilis Protonotarios
Presentation delivered during the "Engagement in RDA from Southern-Eastern Europe, Mediterranean and Caucasus region" Workshop. 25/6/2015, Athens, Greece
ASARECA and UniBRAIN Implementation in Eastern and Central Africaasareca
Role of ASARECA: Linking Incubators with research through:
Sensitization of National & regional Research systems on UniBRAIN
Identification of research areas to be addressed
Identification of research products
Ensuring fair use of research products
Working with other partners to ensure smooth implementation
A Field Manual for the Preparation of a Participatory Community Development P...copppldsecretariat
This manual on community-based participatory approach is a training guide for a range of users and potential stakeholders: community members, extension staff, researchers, local and central administrators, NGO staff, policy makers, private institutions/associations, donors and others. The manual is easy to follow, with clear definitions of terminology, and is well structured to show the different steps of the community-based participatory approach. The main steps involved in elaborating the participatory community development plan are presented as a sequence of steps, with all necessary details for the various users and stakeholders.
The manual is the outcome of many years of experience involving many stakeholders in different countries and settings. We are indebted to all our partners for their highly-valued contributions.
[ Originally posted on http://www.cop-ppld.net/cop_knowledge_base ]
CountrySTAT Regional Basic Administrator Training for GCC Member States/ Intr...FAO
"http://www.countrystat.org
CountrySTAT can contribute toward the centralization, harmonization, standardization, integration and validation of data on food and agriculture coming from different sources within the GCC Region."
High-level Meeting & Workshop on Environmental and Scientific Open Data for Sustainable Development Goals in Developing Countries. Madagascar, 4-6 December 2017
Regional Engagement:Towards the Establishment of a Data-Science Platform for ...Fatima Parker-Allie
Presentation conducted at the GBIF Governing Board 19 Meeting in Norway. Presentation focused on the GBIF Africa Network and the establishment of a Data-Science Platform for Africa
Presentation conducted at 2016 Biodiversity Information Management and Foundational Biodiversity Information Programme Forum. Detailing the Biodiversity Information Management at SANBI, GBIF and Biodiversity for Development components
A regional engagement framework for biodiversity informatics, in response to ...Fatima Parker-Allie
Presentation to the GBIF-Africa Heads of Delegation to the GBIF Governing Board, GBIF Governing Board Meeting 18, Buenos Aires, Argentina (October 2011)
Presentation at 2nd Meeting of the Thematic Working Group on Agriculture, Food Security and Land Use.
Rome, FAO
6-7 March 2018
By Godefroy Grosjean, CIAT
and Lini Wollenberg, CCAFS and University of Vermont
Agricultural Genomics Network (AGN): a much needed platform for the genomics ...ICRISAT
With the advancement in technology, several molecular breeding approaches like marker-assisted backcrossing (MABC), genotyping-by-sequencing (GBS), and genomic selection (GS) have been gaining popularity and are being adopted by researchers. In general researchers do not get clear idea which technology and/or which service provider will be cost-effective for the intended purpose.
25 Sep 2013
An Overview on Regional Agricultural Biotechnology Network of Near East and...RABNENA Network
An Overview on Regional Agricultural Biotechnology Network of Near East and North Africa (RABNENA), Magdi Latif, FAO Knowledge and Capacity for Development Division
Similar to Introduction to GBIF for the African Open Science Platform/Melianie Raymond (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.
Presented on 30 August 2018: Deployment of Open Data Driven Solutions for Socio-economic Value thorough Good Governance and Efficient Public Service Delivery -
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.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
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.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Introduction to GBIF for the African Open Science Platform/Melianie Raymond
1. 14 MAY 2018
Introduction to GBIF for the African Open
Science Platform Melianie Raymond,
Senior Programme Officer for Node Development, GBIF Secretariat
FatimaParker-Allie & JeanCossi Ganglo
Regional representatives GBIFAfrica
2. GBIF ORIGINS
1999: recommendation of Biodiversity Informatics Subgroup of OECD
Megascience Forum
“An international mechanism is needed to make biodiversity data and
information accessible worldwide”
2001: GBIF Memorandum of Understanding opened for signature
2003: Secretariat established in Copenhagen under country host
agreement with Denmark
2004, 2008, 2012: MoU renewed, last version NOT time limited
3. FROM DATA SOURCES TO DATA RE-USE
Ensure free and open access to all sources of biodiversity data in structured forms
Sources of biodiversity data
Collections, field observations, monitoring activities, genomics, citizen science, remote sensing, expert
knowledge, historical literature, ...
Uses of biodiversity data
Taxonomy, conservation, biosecurity, land-use planning, climate change response, crop development,
resource management, materials development, forensics …
Collaborators
• Environment Ministry
• Science Ministry
• Agriculture Ministry
• Local Government
• Museums
• Herbaria
• Universities
• Public
• ...
4. MEMORANDUM OF UNDERSTANDING (MOU)
• Non-binding agreement signed
by all Participants
• Establishes principles of open
data sharing
• Sets out governance
arrangements
https://www.gbif.org/document/80661/gbif-memorandum-of-understanding-primary-english
5. THE GBIF NETWORK
https://www.gbif.org/the-gbif-network
• Data publishing institutions
• Participant nodes coordinating national activity
• Regional-level collaboration between nodes
• Governing Board (all Participants), advisory committees
• Secretariat in Copenhagen
7. GBIF.ORG - DATA DISTRIBUTION
www.gbif.org/occurrence
Each dot represents evidence of species occurrence with standardized information on e.g.:
What? Where? When? By whom?
9. 55
976,620,725
BYTHENUMBERS
1 May 2018
38,829
Species occurrence records Datasets
1,17636
Publishers
Organizational
Participants
Country
Participants
121.6billion 167,833
Average records downloaded per month (2018) Avg monthly user sessions (2018)
10. DATA PUBLISHED THROUGH GBIF.ORG
www.gbif.org/analytics/global https://www.bipindicators.net/indicators/growth-in-species-occurrence-records-accessible-through-gbif
12. Darwin Core (DwC) standard
BiodiversityDataStandards
List of fields and their definitions, as
they relate to biodiversity data.
What is DwC?
Standard
http://rs.tdwg.org/dwc
Governance
http://www.tdwg.org
13. Darwin Core (DwC) standard
BiodiversityDataStandards
https://www.gbif.org/data-
quality-requirements
GBIF Data Quality
Requirements
18. THEMATIC USES OF GBIF-MEDIATED DATA
https://www.gbif.org/science-review
https://www.gbif.org/resource/search?contentType=dataUse
19. THE GBIF INVESTMENT
Global (funding from voting participants, supplementary grants):
• Technical infrastructure, data indexing, GBIF.org, API
• Documentation and guidance, training, capacity enhancement
• Collaboration and governance
National (funding from ministries, research councils etc.):
• Coordination of national biodiversity information facilities
• Stakeholder engagement, training, workshops
• Technical support for data management and publication
• National data discovery platforms, supporting applications
in research and policy
Institutional (funding from institutional budgets, grants):
• Digitization of collections
• Data management skills and IT capacity
• Data analysis, research applications, publication
20. “Focused on mechanisms that share expertise between members of
the network, through information exchange, collaborative activities, and
training and mentoring programmes”
GBIF CAPACITY ENHANCEMENT APPROACH
Challenges include:
- Expanding network of countries,
institutions and people
- Rapidly evolving tools and processes
- ‘Small’ secretariat
Countries involved in developing capacity through the ALA collaboration, Francisco Pando, 2015
GBIF Capacity Enhancement Framework (2015): http://www.gbif.org/resource/80954
22. BIODIVERSITY INFORMATION FOR
DEVELOPMENT PROGRAMME
www.gbif.org/bid
• Four-year programme, 2015-2018
• Funded by EU, run by Global Biodiversity Information Facility (GBIF)
• Aims to increase biodiversity information available in Africa, Caribbean, Pacific
• Supports capacity enhancement, mobilization of data, strengthening networks
• Focus on data to support policy needs (invasives, protected areas, threatened
species)
23. ‘AFRICA RISING’ CONFERENCE
http://www.gbif.org/newsroom/news/idb-2015
• Launch event for BID Africa, Kirstenbosch Botanical Garden, May 2015
• Nearly 100 delegates from national agencies, research institutions,
international organizations
• Joint funding from JRS Biodiversity Foundation, SANBI, UNEP-WCMC
• ‘Declaration on biodiversity information for sustainable development in Africa’
24. MAIN ACTIVITIES
• Regional meetings
• Studies
• Calls for proposals
• Capacity self-assessments
• Capacity enhancement workshops
• Strengthened community of practice
• Promotion of results
• Guiding examples
Documented needs
and priorities
Data mobilization,
strengthened
sustainable networks,
application of the
data
Enhanced capacity
for effective
mobilization and use
of biodiversity
information
Ongoing application
of the mobilized data
26. GBIF-AFRICA REGIONAL ENGAGEMENT STRATEGY
AND BUSINESS CASE
FUNDING PROPOSAL
TOWARDS THE ESTABLISHMENT OF THE AFRICA
COORDINATING MECHANISM
2017-2022
Fatima Parker-Allie, Kristal Maze and GBIF-Africa Nodes
25 September 2017
27. A MEGA-DIVERSE CONTINENT
• It is one of the most megadiverse continents in the world.
• Here biodiversity plays a critical role in sustainable development, provides vital ecosystem
services and is one of our greatest regional assets.
• Africa is a continent grappling with many challenges, but it is also alive with possibility and
brimming with optimism.
28. GBIF IN AFRICA
Vision of GBIF Africa
A world in which Africa’s biodiversity information is freely and universally available, in service to science, economy, decision
making and the public good for a sustainable future in Africa.
Mission of GBIF Africa
To facilitate GBIF Nodes to be the focal point for BDI coordination and dissemination, in support of national, regional and
international biodiversity
To develop a biodiversity informatics research agenda.
To contribute to training and capacity development for promoting global access to biodiversity data and to enhance the
BD I capacity and technical skills base of developing countries.
To generate relevant knowledge from biodiversity data that supports the science–policy interface.
To advance strategic partnerships with national, regional and global biodiversity initiatives
The establishment of GBIF Africa (GA)
In 2009 the GB endorsed the recommendation to have a series of
reg. meetings to improve the coordination & collaboration
Node Managers from approx. 16 countries and 5 Participant
org, have shown a continual increase in collaboration and capacity
GA is a sub-committeee of the GBIF Nodes Committee and is guided by ToR
To be dynamic and grow – we should also include strategic Partners (JRS, ACC)
29. GBIF-AFRICA REGIONAL ENGAGEMENT STRATEGY &
BUSINESS CASE
1.INTRODUCTION
2. PURPOSE
2.1. Strategic Objectives
2.2. SANBI’s role in the national and regional landscape to support a Convening Function for the ACM
3.BACKGROUND & POLICY CONTEXT
3.1. Context: South Africa’s role
3.2. Policy framework
3.2.1. International (The GBIF-Strategic Plan, SDGs; Aichi Targets) 3.2.2. Regional; 3.2.3. National
4.PAST & CURRENT INITIATIVES LED & SUPPORTED NODES
5.THE GLOBAL BIODIVERSITY INFORMATION FACILITY IN AFRICA
5.1. Vision of GBIF Africa, 5.2. Mission of GBIF Africa 5.3. The establishment of GBIF Africa
6. AFRICAN REGIONAL BIODIVERSITY INFORMATION COORDINATION MECHANISM
6.1. Structure and 6.2. Functions of the ACM
7. THE KEY ACHIEVEMENTS OF GBIF-AFRICA
7.1.1. Data Mobilization and Publishing 7.1.2. Training and Capacity Development 7.1.3. Regional Engagement
8. SCIENCE REVIEW AND PRIORITY THEMATIC AREAS
9. THE WAY FORWARD (Strategic objectives and key outcomes)
10. THE WORKPLAN (2016-2018)
30. STRATEGIC OBJECTIVES
Strategic Objective 1
Strengthen capacity to mobilise foundational data to fill the data and knowledge gaps in support of
education, research and analysis that is necessary for decision making for sustainable development.
Strategic objective 2
Build institutional capacity in Biodiversity Information Management through empowering stakeholders to
produce, make accessible and use accurate biodiversity data, information & knowledge in support of
sustainable development.
Strategic objective 3
Build capacity to deliver relevant data across the data-science-policy interface, to support biodiversity
research, assessments, scenario modelling and planning for decision making.
Strategic Objective 4
Strengthen regional engagement through advocacy, awareness-raising and enhancing GBIF-Africa’s role
in supporting regional strategies (eg. Science, Technology and Innovation Strategy for Africa 2024) and in
fulfilment of international conventions including UNFCCC, CITES, UNCCD, CBD.
31. THE KEY ACHIEVEMENTS OF GBIF-AFRICA
REGIONAL ENGAGEMENT
A number of consortiums have developed on the continent, which is a result of ongoing coordination and leadership enabled by GBIF, JRS,
SANBI-GBIF and the Biodiversity for Development Initiative, as well as some key GBIF Nodes.
West African Consortiums (JRS & BID funded) have developed through two exciting initiatives including: the “the capture of primary
biodiversity data on West African plants (Benin, Ghana, Cameroon & Togo, Nigeria), in Partnership with 5 major global herbaria of the world
(Europe and North America).
The second is a West African Consortium project is “Capacity building and biodiversity data mobilization for conservation and policy”, is led by
GBIF-Benin and is implemented by a consortium of eight African countries – Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar.
Niger has become an Associate Participant.
Another consortium is being driven by the Albertine Rift Conservation Society bringing together DR Congo, Rwanda and Uganda to strengthen
the Biodiversity Information Management System of the ARCOS by enhancing their data portal, mobilizing data and expanding the data
manager’s network. The University of Rwanda is also a Partner
The South African Lead ABC project – working with 4 African countries to mobilise data and establish a national networks in BDI, rollout of BIMF’s
following the SA example.
Benefits: Small groups make it easier for participants to engage, enabling action plans and recommendations more easily &
Face to face interactions are efficient in facilitating the sharing of expertise & best practices making virtual follow-up easier
32. Public health: Mapping
the niche of Ebola host
animals
Invasive alien species: Building
national watch lists for invasive
alien species
Food security: Conserving
genetic diversity of crops in
West Africa
Showcases: Use and Application of Biodiversity Data Mediated
through GBIF
33. NEEDS TO PROMOTE GBIF IN AFRICA
With respect to needs in infrastructures
• Portals for nodes that still need it for more visibility of the richness of biodiversity across
countries
• IPT installation for nodes that still need it to enhance data publishing in countries
• Whenever deemed necessary, IPT installation in national partner institutions to enhance
data publishing
• Laptops and working stations whenever required in nodes
With respect to needs in capacity building
• Data digitization for new comers
• Data cleaning an data publishing for nodes and nodes national partners
• Data analysis and data uses to produce relevant research results to inform decisions on
biodiversity conservation
• Sound / in-depth capacity building in biodiversity informatics to students, researchers,
teachers etc. for more sustainable and relevant data uses to support decision making on
biodiversity conservation and sustainable uses.
Jean Cossi Ganglo,, Deputy regional representative, Node Manager Benin
34. 14 MAY 2018
Introduction to GBIF for the African Open
Science Platform Melianie Raymond,
Senior Programme Officer for Node Development, GBIF Secretariat
FatimaParker-Allie & JeanCossi Ganglo
Regional representatives GBIFAfrica