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

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

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

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, …)

BioEnergy Atlas

Risk and Vulnerability Atlas

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

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.

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

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

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.

Thank you!