1. High-Level Overview SAEON involvement in South African and Global Research Data Infrastructure Asiphe Sahula, Wim Hugo-SAEON AfriGEOSS Symposium 28 April 2016, Session 6

2. Overview Stakeholders
SAEON Earth and Environmental Data Infrastructure
Specific Societal Benefit Projects
Risk and Vulnerability Atlas
BioEnergy Atlas
Global Linkages
GEO and GEOSS
ICSU World Data System
ILTER
SASDI
Extensions into Africa
ICSU WDS and African Networks
AfriGEOSS
Characteristics of African Networks

3. Stakeholder Groupings
ICSU World Data System
African Networks
SARIR Programme(s)
NRF, HEIs and National Facilities
Shared Platform
Stakeholders
DRDLR
SASDI
Legal Custodians
NEDICC
DIRISA
ASSAf
Other Stakeholders
DST
SA-GEO/ GEO
SAEOSS
Communities of Practice
AfriGEOSS
SAEON is working with 6 stakeholder groupings as shown in the diagram. This journey started with funding for the development SAEOSS .
DST: SAEOSS- South African Earth Observation of Systems
DST contribution to GEOSS
Also used this platform the SARVA and for BioEnergy Atlas
Also used for ICSU World Data System and South African Spatial Data Infrastructure Prototypes
SAEON and the SARIR programmes have long term baseline funding for ICT Research Infrastructure
SARIR: South African Research Infrastructure- Terrestrial and Shallow Marine – SAEON involved in both.
ICSU-WDS: Quality assured scientific data, across all disciplines- prototypes and thinking to date
NRF: project to establish deposit and publication infrastructure for all grant funded research
DIRISA: In part supporting NRF, but looking at wider research data infrastructure
Links to AfriGEOSS have not been well established yet but the opportunities for these links will be highlighted later in the presentation

4. Emerging E&EO Research Data Infrastructure
This is a schematic diagram that highlights the Emerging Environmental Observation Research data infrastructure:
It highlights the local picture from the center outwards into global links
Local EO -Deploy SARVA and own data portal etc…
Others: quite simple and not technical problem
Scalability depends on funding for end user support
We will discuss linkages in detail later on -easy to pass on meta-data references to other global infrastructures (GEOSS, ICSU-WDS, DataCite, …)

5. BioEnergy Atlas

6. Risk and Vulnerability Atlas

7. DIRISA: Scope of Data and Supported Services
Deposit and Publication
Metadata Mining and Linked Open Data
Data Discovery and Application
Accreditation, Assessment and Review
Reporting and Feedback
Administrative Use Cases
Brokering and Registry of Registries
National Meta-Data Aggregate
Earth and Environ-mental
Sciences
Social Sciences and Humanities
Health
and Bio-Informatics
Applied Sciences, Built Env., Engineering
Physics, Chemistry, Astronomy
Business Science, Law, Economics
Earth and Environmental Sciences metadata aggregation exists and is already useful
The rest: - reality in the next 2 years, driven by NRF and DIRISA, with SAEON components
This schematic diagram highlights Infrastructure we are building Nationally together with DIRISA and NRF.
7 services: solid line: services already exists but we continuously improve on them
Broken lines: In development: to link meta data to services
Accreditation, assessment and review – deals with citations in journals, online ranking and comments from end users, adherence to processes in the data curation life cycle
Reporting and feedback: End users, funding agencies, data depositors: use of data, feedback, citations, etc.
Administrative use case: mostly aimed at institutional data repositories. It deals with things like citations in journal, online ranking and comments from end-users, adherences to processes in the data curation life cycles. This service has just been completed.
Brokering use cases – example of vocabularies that depend on scientific discipline

8. 6 ‘Architectures’ Business and Governance
Standards and Interoperability
Software and Platforms
Hardware and Networks
Accreditation
Human Resources and Capacity
Research infrastructure is not only a technical problem!
In SA eg DIRISA will build in all these architectures into it.

9. Earth and Environmental
Global Linkages
Domain
Coverage
License
Quality Assurance
Pass-Through
Earth and Environmental
Any
Free and Open
N/A
GEO/ GCI
South Africa
ILTER
SASDI
Peer-Reviewed
Auditable Process
ICSU-WDS
Biodiversity
Regional
GEO-BON
4 dimensions/domains that could be different all the time when considering Global linkages.
Spatial coverage, kind of data in license perspectives, if any quality assurance is applied to the data and where it can be distributed.
At the moment we deal with 5 cases of linkages that have varying filters depending on each of them. GCI-GEOSS common infrastructure.
SASDI/GEO-BON-System Keywords that mark for inclusion
Criteria used to decide whether meta data should be visible to these global infrastructures or not.
GEO and GCI: Automated via GEOSS Broker
ICSU-WDS: Automated via OAI-PMH Broker
ILTER: Automated via DataONE and MetaCAT
SASDI, GEO-BON: Automated via system keywords

10. African Opportunities
Shared Infra-structure
Individual Data Centres
Individual Data Centres
Individual Data Centres
ICSU-sponsored report on Networked Data Centres for Africa
Infrastructure and Data for
Renewable Energy
Risk and Vulnerability
Biodiversity Observation
Earth and Environmental Observation
Participation Modes and Guidelines
Shared Platform, Meta-Data, and Services
Individual Data Centres
What are the typical things we can do:
ICSU has long been keen to establish these network data centres in Africa
Main aspects: parts of the criteria for system data membership should be assigned to different institutions or groupings as Sources of data—into shared infrastructure—Engage with them on the basis of participation modes and guidelines—then we make the meta data available to the shared platform then. Then we can build different views.
Local Views
Regional Views
Global Views

11. Options for Participation
Mostly
Own
Infrastructure
Shared No
Data Hosting, Visualisation and Download
Reporting
Meta-Data Management
Discovery
Portal
Embedding*
Adapters and Harvesters
REST Services
Embedding
CS/W Adapter
Own Development
Options/Modes of participation:
Use of the data infrastructure is possible across different functions, people have different options for implementation e.g in portals, or components into their own websites, or call services.
The larger the institutions are the more likely there will use services than portals.
We cater for a variety of different communication modes.

12. Thank you!