Watch: RDA/IGAD Webinar Series: The Update of Agricultural Ontologies in Japan

As part of the Research Data Alliance’s (RDA)/ Agricultural Data Interest Group‘s (IGAD) ongoing webinar series, aimed to keep up with cutting edge developments in agricultural data, and encourage the free flow of ideas, the most recent webinar took place on March 24.

The webinar focused on “The update of agricultural ontologies in Japan – Agricultural Activity Ontology and Crop Vocabulary” and featured Prof. Hideaki Takeda, Dr.,Eng and Sungmin Joo, PhD.

Watch the webinar here:



Challenge #6: Integrating INSPIRE with Citizen Science and Earth observations authentication systems

Mentors: Andreas Matheus, Hector Rodriguez

The scope of the challenge is to enhance your geospatial and/or INSPIRE enabled web-based or mobile application so as to connect  to eitherCitizen Science and/or Earth Observation data. More specifically, the challenge will focus on improving accessibility to protected resources while also enabling their direct consumption and utilisation by third party applications. 

For enhancing your existing web-based or mobile application to contribute to citizen science and crowdsourcing activities within the LandSense Citizen Observatory (, you would need to implement OpenID Connect into your application that is able to interact with the LandSense Authorization Server ( The LandSense Authorization Server is a core output from the project and more details can be accessed from the public deliverable “LandSense Engagement Platform – Part I”.

In order to initiate registration, you can choose to use a static registration page or leverage the RFC 7591 compliant dynamic client registration endpoint. A registered application can then use the LandSense federation including login options from Google, Facebook or eduGain (approx. 2800 University and Research organizational logins). The collection and processing of any personal data is compliant with the EU’s General Data Protection Regulation (GDPR). However, when registering the application, you can control the degree of personal information you need: A user can be simply authenticated, labelled with a cryptoname or identified with personal information. 

In order to contribute to Citizen Science with your application, you will need to interact with the LandSense platform. Additionally, you may use an OGC SensorThings API for accessing existing data or inserting new observations from the  SCENT Harmonisation Platform ( The latter includes an OAuth2 Resource provider that is also integrated within the LandSense federation. 

Last but not least, you will have the opportunity to connect also to NextGEOSS Single Sign On ( and integrate within your application protected EO resources or utilise existing applications. Additionally, details on how to interact specifically with NextGEOSS User Management system are available from here:

As a participant in this challenge, you should be familiar with OpenID Connect / OAuth2 principals and the developer of the application that you bring to enhance. You will learn during the hack-a-thon how to integrate a OpenID Connect library like HelloJS into your web-based application and how to setup the library to connect to a 3rd party OpenID Connect Authorization Server.

Yes, I want to register for Challenge #6!

RDA Virtual Plenary 15 (VP 15) – 18 March – 10 April 2020

Over the past week, the RDA Technical Advisory Board and RDA Secretariat have been hard at work to create a virtual RDA plenary experience, (VP 15) that aims to bring exciting, educational and informational sessions to RDA members worldwide.

The programme for VP 15 is available at, and we anticipate many more sessions to be added in the coming days. If you are a member of an RDA group who had a session planned for Plenary 15 in Melbourne and would like to participate in VP 15, please submit your request by Friday, 3 April at The RDA Secretariat will in-turn send confirmations to the applicant chair with the time and session for the virtual meeting.

Do consider registering for a session and/or hosting your own! Thank you in advance for your involvement, support, and especially your effort to make our VP 15 event a robust and productive experience. A special thanks to AARNet for supporting VP 15 by providing Zoom links for our meetings.

Challenge #8: Improve interoperability between methods for sharing in-situ and citizen-sourced data

The goal of the challenge is to make available datasets provided by H2020 Citizen Observatories as well as other citizen-science projects and initiatives, through the use of SensorThings API standard and develop and test tools to provide combined visualization of data coming from different sources. This involves also sharing of environmental measurements coming from different IoT devices and in-situ monitoring sensor networks, aiming to establish combined use of data and services among different platforms towards improved environmental monitoring. 

More specifically, most of the latest projects and initiatives rely their implementation on the use of different standards like OGC Sensor Observation Service (SOS), that defines a web service interface which allows querying observations, sensor metadata, as well as representations of observed features, or more frequently used standards such as the OGC Web Feature Service. On the other options, a lot of initiatives is defining own specifications respecting needs of current projects. Integration of such data is connected with additional effort spent on development of specific translators.

Such standards (i.e. OGC SOS)  are more applicable to in-situ sensors that have a fixed location, and thus not fitting the citizen science paradigm that involves monitoring of an environmental phenomenon with different portable sensors at different locations (lack of flexibility between the location and the sensor as well as between the user and the sensor). Moreover, the implementation of requests such as the extraction of latest observations from sensors cannot be executed in an efficient or scalable way. 

Thus, the key use cases under this challenge are described as follows: 

  1. Implementation of “data translators” that will facilitate the conversion of resources exposed from OGC SOS and WFS to SensorThings API compatible schemas. In particular, the SensorThings API implementation provided by the SCENT Citizen Observatory shall be used as a reference application where the resources from other projects will be ingested. 
  2. Visualisation of resources exposed by SensorThings API through dedicated interfaces 
  3. Integration of different datasets of environmental monitoring by utilization of special “data translators”.
Yes, I want to register for Challenge #8!

Challenge #7: Establish the connection of Citizen Observatories resources with central catalogue

The goal of the challenge is to enable the integration of datasets provided from Citizen Observatories as well as from other citizen-science related projects and initiatives, with the NextGEOSS catalogue as an approach to connect citizen science into GEOSS. 

In the context of the European Union’s Horizon 2020 research and innovation programme, four sister projects on Citizen Observatories (COs) for Environmental Monitoring (GROW, GroundTruth 2.0, LandSense and SCENT) have been launched and realised. During these projects, a variety of smart and innovative applications have been implemented, enabling citizens to be engaged with environmental monitoring during their everyday activities. The use of mobile devices and low-cost portable sensors coupled with data analytics, quality assurance and modelling approaches pave the way for citizens to have an active role and voice in environmental decision-making.  The capabilities of the abovementioned tools and approaches have been demonstrated in a variety of citizen-science campaigns, being conducted across different European regions and beyond, leading to the collection of valuable environmental information. The datasets involve the following themes: 

  • Land cover/land use (point observations, maps, change detection validation, land use classification, in-situ validation, cropland field size and interpretations) 
  • Soil parameters (soil moisture, air temperature, levels of light); Planting and harvesting dates
  • Water parameters (water level, water velocity) 
  • Air quality parameters (black carbon concentration) 
  • Phenological observations (species and pheno-phase identification)
  • Disaster resilience (maps and time series data related to flood monitoring)
  • Urban green space quality (users’ perception through the provision of responses to questionnaires and images) 

The datasets are being managed by different infrastructures involving various access endpoints as well as the utilisation of OGC standards (i.e. WMS, WGS, SOS, etc), while at the same being accompanied by dedicated metadata. 

Thus in order to facilitate the metadata ingestion in the NextGEOSS catalogue, continuously running harvesters (for the Data Sources which have new Data available daily) and on-demand harvesters (for static collections of Data) shall be implemented. 

Yes, I want to register for Challenge #7!


Data Cataloguing in NextGEOSS

One of the offers available in NextGEOSS is the Data Cataloguing. Catalogue data in NextGEOSS can bring some benefits such as:

  • Your Data will be EASILY DISCOVERABLE and REACHABLE to a wider audience like the entire GEO Community through the NextGEOSS catalogue;
  • Original Data Sources and Data Providers will be more visible. On the NextGEOSS catalogue there is a page listing all the Data Providers;
  • Easy access to input Data to be automatically ingested by applications due to the OpenSearch interface which allows to find the datasets catalogued and the enclosure links to where the real Data is;
  • Data catalogued in the NextGEOSS Catalogue can be used by the scientific communities in their applications;

NextGEOSS Catalogue does not store data. Only metadata and download links to where the real data is stored (enclosure links) are catalogued. The metadata ingestion in the NextGEOSS catalogue is quite flexible since it is possible to harvest metadata from different interfaces such as OpenSearch, CSW, WFS, CKAN API, REST API, OAI-PMH and others. Also different types of Data Connectors, depending on the frequency of the Data publication on the original Data Sources, can be built:

  • Continuously running harvesters (for the Data Sources which have new Data available daily)
  • On Demand Harvesters (for static collections of Data)

NextGEOSS Harvesters have also recovering mechanisms to deal with possible failures that may happen on the data catalogue or on the original data source. For example, if the original data source is down for some time, as soon as it is available again, the harvester will restart the harvesting process from the last dataset harvested and will ensure that no data is missing.

To be possible to catalogue metadata in the NextGEOSS Catalogue, there are some requirements that must be fulfilled by the data Provider:

  • A queryable API or interface to access the metadata in the original data source is required (OpenSearch, CSW, REST API, etc.);
  • The access to the original metadata records following a methodically approach is required (for example temporal queries);
  • The metadata fields in the original data source must be clear and, ideally, follow a metadata standard;
  • To have a clear understanding about how often the data is published in the original Data Source (frequency), different product types and if the data belongs to any area of study (such as Agriculture, Marine, Food Security or others);
  • Data Provider must keep the real data available for a considerable time period to ensure that the links to the original data on NextGEOSS Catalogue are not broken links;
  • To have a good availability and short response times when querying the original data source;

All of these requirements are considered during the feasibility analysis performed by the development team. If the requirements are fulfilled, it will be possible to build the data connector (harvester) which, after a set of tests in a staging instance of the catalogue, will be deployed in production.

Main obstacles to build data connectors:

  • Complex metadata and/or not following any specific standard. Difficult to map the metadata fields;
  • Metadata with many repeated fields and repeated information. Additional metadata filters. needed;
  • Limited APIs and interfaces which do not allow to perform methodical queries and organize the metadata records;
  • Metadata or interfaces that are not mature enough since they are still being updated;
  • Unstable data sources and long response time to queries;
  • Short retention period of the real data on the data provider;Data sources that do not provide links to the real Data within the metadata making it impossible to have enclosure links to the real data on NextGEOSS catalogue;

Challenge 5: IoT 4 Africa

This is a description of Challenge No. 5 of the Kampala INSPIRE Hackathon 2020 led by Michal Kepka and Joel Muhanguzi – a local mentor from Africa.  For more information about mentors see the link.

Sensors are important producers of data for many domains of the daily life. Importance of this sensor data is growing with approach of IoT and availability of sensors. Typical domains are environmental monitoring, meteorological monitoring, agriculture, transport and logistics. Very often these specific domains use specific formats and interfaces to publish data.

The main goal of this challenge is to make a research on available sensor data, formats and standards used by local data producers and to select appropriate datasets to integrate them for further processing. Selected datasets can be integrated in open source data management solution we are developing for almost 10 years called SensLog. This web-based solution is using system of so-called Connectors to load sensor data from publishers where is no influence on the publishing data format. We are currently working on implementation of standardized interface based on the OGC SensorThingsAPI standard. This Connector should not only load data from services providing this standard, but publishing data by services defined in this standard as well.

Yes, I want to register for Challenge #5!

Challenge #9: EO4Agri Ideathon

Mentors: Karel Charvat, Vaclav Safar

The main objective of EO4AGRI is to catalyse the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through the exploitation of associated geospatial and socio-economic information services. EO4AGRI works with farmers, farmer associations and agro-food industry on specifications of data-driven farming services with a focus on increasing the utilization of EC investments into Copernicus Data and Information Services (DIAS).

The EO4AGRI project methodology is a combination of community building; service gap analysis; technology watch; strategic research agenda design and policy recommendations; dissemination (including organization of hackathons).

The Ideathlon will be focused on the relation of Earth Observation and AgriFood industry. The goal of the discussion will be to validate the existing recommendation from EO4Agri on one side, but on the other side to find new challenges until now not recognised.

EO4Agri identified the next groups of stakeholders in agrifood sector:

  1. Precision Agriculture
    1. Farmers
    2. Advisors and Service organizations
    3. Machinery
    4. Agrochemical providers
  2. Food sector
    1. Food producers
    2. Resellers

Users of Earth Observation data in Precision agriculture, respectively in part Agro-Industry group, can be divided according to whether they are data processors or consumers of results produced by data processors companies. In the first group are: service IT providers, software producers and consultants, and service organizations in the rank of Earth Observation, aerial photogrammetry, drone application, phytopathology, agronomy, interpretation of vegetation data from satellite and aerial images, etc. The second group consists of farmers, engineering and environmental agricultural companies, agronomists, machinery manufacturers and input providers (fertilizers, chemicals). Members in both of these groups must collaborate in order to develop all required applications. Then all will benefit from these applications: farmers can make informed decisions regarding their crops and advisors can sell services to farmers and input providers can use weather and soil maps to predict the demand for fertilizer.

Earth Observation for Precision Agriculture due to its complexity needs to be supported by a full Value-Added Chain, where a farmer is its final point. See the next images:

The food sector is complex and includes different types of producers, where could be different requirements on EO technologies’

As part of the Food sector, we can also include Food resellers, their requirements can be similar to the requirements of part of the food sector. Generally, the interests of the food sector could be divided into two groups:

  • Producers of niche or specific products with high requirements on input materials like producers of pasta, beer, etc. with a strong focus on the quality of production
  • Global food players and resellers, who are mainly interested to have an overview of the situation on the global market of agriculture products

During Ideathlon we will try discussed such questions like:

  • What are the needs of single stakeholders groups?
  • What is the relation of these groups of stakeholders?
  • Who are real drivers among stakeholder in the agrifood sector for utilisation of EO?
  • What are the requirements in satellite technologies and also in processing?
  • What are the biggest problems?
  • What are dreams for the future?
  • Which solutions are now missing?

The results of this analysis will be based for a future recommendation for industry, but also for EC.

 Yes, I want to register for Challenge #9!

Dubrovnik INSPIRE Hackathon 2020

2020 is the fourth year of the INSPIRE Hackathon organised in the frame of the INSPIRE Conference (Dubrovnik, 12-15 May 2020).

The INSPIRE Hackathon 2020 is in line with the motto of the INSPIRE Conference – “Bringing sustainability and digitalisation together”. The goal of the hackathon is to promote collaboration and sharing of experience in the domain of spatial data/services  and citizen-science while showcasing their utilisation and uptake to different application domains and themes. This includes supporting the Sustainable Development Goals.



The themes of the INSPIRE Hackathon 2020 include:

  • Artificial Intelligence solutions with integrated use of citizen science data
  • Demonstrating interoperability between citizen-science tools and datasets while leveraging innovative protocols, standards and frameworks 
  • Facilitating integration between citizen-science and existing infrastructures/systems for environmental monitoring 
  • Artificial Intelligence and citizen science applied for the agricultural sector (EO4AGRI)
  • Showcasing integration between INSPIRE, GEOSS, COPERNICUS and citizen-science data, focusing on standardisation, web APIs and novel processing frameworks (i.e. machine learning), towards the creation of added value applications. 

The target domains include:

  • Environmental monitoring and policymaking 
  • Agriculture and sustainable bioeconomy
  • Disaster resilience
  • Transport applications for policy making
  • Planning
  • Environmental protection
  • Internet of Things
  • Weather 
  • Biodiversity


The first phase of the INSPIRE Hackathon 2020 starts before the INSPIRE Conference in Dubrovnik. Several challenges and their mentors are defined and anyone can join the challenge (see below). Virtual meeting, webinars and other virtual means of communication will be used to advance the defined challenges. The mentor of each challenge will be responsible for communicating with the team members that join this challenge.

For participation in this virtual stage (from now on until 11 May 2020), please register at: 

All the teams that participate in the remote phase of the hackathon will be invited to present their project results during the dedicated workshop at the INSPIRE Conference. This workshop will take place in Dubrovnik 14 May 2020 at 2pm CEST. For this reason, teams will be asked to prepare a presentation showing their hackathon project results. This part of the hackathon is not mandatory for the team members. However, you are invited to join this workshop. In this case, please do not forget to register for the INSPIRE Conference 2020.


  1. Using Sentinel 1 data and IoT technology for analysis of soil moisture
  2. Using AI intelligence for detection of Land Use objects
  3. Deep learning for weather forecast
  4. Traffic Modelling upon OpenStreetMap – use case of Františkovy Lázně.
  5. Extend OpenLandUse by selected Inspire Data Theme
  6. Integration between citizen-science and EO authentication systems
  7. Establish the connection of Citizen Observatories resources with central catalogue
  8. Improve interoperability between methods for sharing in-situ and citizen-sourced data
  9. EO4Agri Ideathlon
  10. Remote sensing derived vegetation phenological indices (crop emergence, harvest, etc ..) based on Copernicus data
  11. Copernicus and LPIS data combined in data cube services


Each team will be evaluated by the jury based on the following criteria:

  • Combination of Remote sensing, INSPIRE and Citizen Science data or services
  • The utilisation of AI tools
  • Readiness level
  • Innovation
  • Sustainability of solution
  • Contribution to the Sustainable Development Goals
  • Cross sectoral interoperability
  • Cross boundary interoperability


An important component of the INSPIRE hackathon concept is the capacity building activities. It is provided in webinars organized by each of the challenges. In addition to a short introduction to the INSPIRE hackathon concept and the specific challenge, experts are invited to speak about topics covered within the challenge. This way transfer of knowledge (often across disciplines) go side by side with efficient management of the challenge work. The webinars will be announced within a couple of weeks after the hackathon is kicked-off. 


  • March 2020 – start of the hackathon, registration opens
  • Between 23rd March – 3. April 2020 a series of webinars introducing the teams and their progress. There are educational elements in these webinars.
  • 11th May 2020 – preparing presentations for the workshop in Dubrovnik 
  • 14th May 2020 – presentation of the hackathon results at the workshop in Dubrovnik

The INSPIRE Hackathon 2020 is supported by the following organisations and projects:

Plan4all ( – Plan4all is a non-profit association sustaining and further enhancing the results of multiple research and innovation projects. It aggregates large open datasets related to planning activities in different specialisms areas transport, spatial and city planning, environment and tourism. Plan4all makes sure that open data are easily accessible for reuse, data are maintained and their quality is improved.

WeObserve ( – Rising trends in Citizen Science have led to the development of Citizen Observatories (COs) focused on engaging citizens in environmental monitoring across Europe. WeObserve is an H2020 Coordination and Support Action, which tackles three key challenges that Citizens Observatories (COs) face: awareness, acceptability and sustainability. The project aims to improve the coordination between existing COs and related regional, European and international activities. The WeObserve mission is to create a sustainable ecosystem of COs that can systematically address these identified challenges and help to move citizen science into the mainstream. The specific WeObserve objectives can be summarised as follows: i) Develop communities of practice around key topics to assess the current CO knowledge base and strengthen it to tackle future environmental challenges using CO-driven science ii) Extend the geographical coverage of the CO knowledge base to new communities and support the implementation of best practices and standards across multiple sectors iii) Demonstrate the added value of COs in environmental monitoring mechanisms within regional and global initiatives such as GEOSS, Copernicus and the UN Sustainable Development Goals iv) Promote the uptake of information from CO-powered activities across various sectors and foster new opportunities and innovation in the business of in-situ earth observation

NextGEOSS ( –  The NextGEOSS project, a European contribution to GEOSS (Global Earth Observation System of Systems), is developing the next generation centralised European data hub and cloud platform for Earth Observation data, where the users can connect to access data and deploy Earth observation based applications. The concept revolves around providing the data and resources to the user communities, together with cloud resources, seamlessly connected to provide an integrated ecosystem for supporting applications.  A central component of NextGEOSS is the strong emphasis put on engaging the communities of providers and users, and bridging the space in between.

EO4Agri ( – The main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on  information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services. EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and for the Integrated Administration and Control System (IACS) processes. EO4AGRI works with farmers, farmer associations and agro-food industry on specifications of data-driven farming services with focus on increasing the utilization of EC investments into Copernicus Data and Information Services (DIAS). EO4AGRI addresses global food security challenges coordinated within the G20 Global Agricultural Monitoring initiative (GEOGLAM) capitalizing on Copernicus Open Data as input to the Famine Early Warning System Network (FEW-NET). EO4AGRI assesses information about land-use and agricultural service needs and offers to financial investors and insurances and the potential added value of fueling those services with Copernicus information. The EO4AGRI team consists of 11 organizations, complementary in their roles and expertise, covering a good part of the value-chain with a significant relevant networking capital as documented in numerous project affiliations and the formal support declarations collected for EO4AGRI. All partners show large records of activities either in Copernicus RTD, governmental functions, or downstream service operations. The Coordinator of EO4AGRI is a major industrial player with proven capacities to lead H2020 projects. The EO4AGRI project methodology is a combination of community building; service gap analysis; technology watch; strategic research agenda design and policy recommendations; dissemination (incl. organization of hackathons).

EUXDAT – (  proposes an e-Infrastructure, which addresses agriculture, land monitoring and energy efficiency for a sustainable development, as a way to support planning policies. In order to do so, we need to address the problems related to the current and future huge amount of heterogeneous data to be managed and processed. EUXDAT builds on existing mature components for solving them, by providing an advanced frontend, where users will develop applications on top of an infrastructure based on HPC and Cloud. The frontend provides monitoring information, visualization, different parallelized data analytic tools and enhanced data and processes catalogues, enabling Large Data Analytics-as-a-Service. EUXDAT will include a large set of data connectors (UAVs, Copernicus, field sensors, etc.), for scalable analytics. As for the brokering infrastructure, EUXDAT aims at optimizing data and resources usage. In addition to a mechanism for supporting data management linked to data quality evaluation, EUXDAT proposes a way to orchestrate tasks execution, identifying whether the best target is a HPC center or a Cloud provider. It will use monitoring and profiling information for taking decisions based on trade-offs related to cost, data constraints, efficiency and resources availability. During the project, EUXDAT will be in contact with scientific communities, in order to identify new trends and datasets, for guiding the evolution of the e-Infrastructure. The final result of the project will be and integrated e-Infrastructure which will encourage end users to create new applications for sustainable development.

SIEUSOIL  aims to develop sustainable and holistic soil management practices based on a harmonised land information system suitable for diverse climate and operation conditions along different EU and China locations.

STARGATE STARGATEs contribution beyond state-of-the-art in applied climatic data solutions is the implementation of analytics models to support local and regional policy formulation and implementation related to mitigation on microclimate changes. Currently, policy making organizations predominantly utilize own data, typically limited to their own jurisdiction/administrative area. However, once the policy development process expands the evidence base and data sources beyond the traditional approach, there is need for global data.

SmartAgriHubs  The project aims to realise the digitisation of European agriculture by fostering an agricultural innovation ecosystem dedicated to excellence, sustainability and success.  To this end, SmartAgriHubs employs a multi-stakeholder approach and covers a broad value-chain network across all EU member states. The consortium includes a diverse network of start-ups, SMEs, business and service providers, technology experts and end-users. The end-users form the core of the project and are the driving force behind digital transformation. The development and adoption of digital solutions is achieved by a tight ecosystem of 140 Digital Innovation Hubs embedded within 9 Regional Clusters, which are led by organisations that are closely involved in regional digitisation initiatives and funds.

AFarCloud will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. This platform will be integrated with farm management software and will support monitoring and decision- making solutions based on big data and real time data mining techniques.

Challenge 8: Text Mining and Metadata

This is a description of Challenge No. 8 of the Kampala INSPIRE Hackathon 2020 led by Karel Charvat, Michal Kepka, Karel Panek, Marek Splichal and  Stepan Kafka.  For more information about mentors see the link.

To be possible to use any data, including geospatial as part of Digital Innovation Hub, it is necessary to be able to discover this data easily. For this purpose metadata catalogues are used, which can help describe and discover available data. In Kampala, INSPIRE hackathon, for example, Challenge 2: SmartAfriHub – Agriculture Digital Innovation Hub for Africa will offer a possibility to visualise map services and map composition.

To allow this, we need to have access to visualisation services and we need to discover these services. For this purpose, Challenge 8 will be focused  on collecting metadata describing spatial data in Africa. We will focus on metadata related to services, and formats, which could be used for online visualisation or access to data (WMS, WFS, WCS, KML, GeoJSON, ArcGIS services) We will try to use three possibilities how to collect metadata:

  • Harvest geospatial services from existing catalogues. It will be an automatic process, where selected metadata of open geospatial data can be harvested from another catalogue as FAO, UNEP, NextGEOSS or other national catalogues. The main task will be to recognised existing catalogues.
  • Manually publish metadata of selected services using URL of these services

  • The third part of this challenge is to discover the resources of Open Geospatial Data in Africa and publish this data source in the metadata catalogue using text mining methods. We will test text mining methods to discover potential data source addresses on Web pages.

Yes, I want to register for Challenge #8!