2. GEO Knowledge Hub: overview
Why does GEO need a Knowledge Hub?
For whom is the Knowledge Hub?
Benefits of the Knowledge Hub?
GEO KH
GEO GLAM
GEOBON
GOS4M
GFOI
GHSL
GEO
GLOWS
GEOCRI
Etc.
The GEO Community of GEO FS – IS and Community activities and all the contributing partners produces a wealth of incredible scientific knowledge
The knowldege about a specific topic comes when a series of elements are connected together to be able to produce and reproduce outputs and services.
This authoritative Knowldege is not yet captured in a effective manner, but reside still scattered in various scientific publications.
Analyzing closely a Scientific publication is easy to see many essential elements such input data, models, tools, software and output data mentioned.
For technical or non technical the end user –having those elements easy findable and all connected together could bring a great advantage.
Knowldege is produced by the GEO Community and the GEO community

3. Scientific Publications Tools/Methods/Software
Why is GEO Knowledge Hub needed?
GEOGLOWS
Scientific Publications
A High‐Resolution National‐Scale Hydrologic Forecast System from a Global Ensemble Land Surface Model (DOI: / )
Tools/Methods/Software
RAPID - runoff of surface and groundwater inflow to rivers://github.com/c-h-david/rapid
Esri's RAPID Toolbox github.com/Esri/python-toolbox-for-rapid.
ECMWF Streamflow Prediction Tool: github.com/erdc- cm/tethysapp-streamflow_prediction_tool.
Tethys Platform: github.com/tethysplatform/tethys.

4. Output Data/Results/Services
Why is GEO Knowledge Hub needed?
GEOGLOWS
Input Data
ECMWF global runoff forecast ensemble
ERA‐Interim global reanalysis runoff dataset
NHDPlus V2 dataset
Watershed Boundary Dataset
National Elevation Datasets (NED)
Output Data/Results/Services
Streamflow Prediction Tool Web App: the Streamflow Prediction Tool app is available under the BSD 3‐Clause License and the source code is available on GitHub

5. Why is GEO Knowledge Hub needed?
Single place to discover, access and reuse the knowledge and results developed by the GEO Work Programme.

6. GEO Knowledge Hub: overview
GEO Work Programme
Community
Knowledge Building
FAIR / DM
Status
Findable
Accessible
Interoperable
Reusable
Ingestion
Curation
Knowledge Identification
GEOSS Platform
connection
Knowledge Collection
Users and Community
Discover, Learn, Reuse

7. GEO Knowledge Hub: resources identification
Resource types
Sources
Publications
Post-prints with DOI stored
Code, models and tools
Open source in Github with DOI. Backups.
Remote sensing data
GEOSS Platform and/or Cloud descriptions (e.g., STAC)
In situ data
GEOSS Platform, Data Repository, and/or KH database
Results and products
Videos, Other
Directly stored in the Knowledge Hub (preferably).
GEO Work Programme Community
Knowledge Resources Identification and Collection

8. Output Data and Products
GEO Knowledge Hub: Knowledge Building
Screening the Scientific Publication to collect and curate Knowledge around it, identifiying all related essential resources, to create the related Knowledge Package.
Inputs Data:
RS / In situ
Software Code,
Videos
Output Data and Products
Models, Tools, Alghorythms
Knowledge Building
Semi Authomatic Ingestion
Knowledge Resources curation
GEOSS API
Curation of the existing GEOSS Platform EO Resources if available
Enrichment of GEOSS Platform with identified EO Resources and Respective Data Provider if not yet available

9. Knowledge hub: collection of curated, linked, indexed documents
Unique ID
Unique ID
Unique ID
paper
data
software
GEO KH document
Unique ID

10. Data Providers Knowledge Providers Website Knowledge Hub
GEOSS Platform
APIs
In summary this slide captures the possible integration of the various GEO components and the complementarity of each other.
100s of
assets
millions of
assets
Results

11. As part of our work of exploring technologies that can meet the Knowledge Hub requirements we have been working with some free and open source software designed for the creation of digital libraries.
In particular, we have been exploring Invenio, an open source framework for building large-scale digital repositories actively developed and maintained by CERN.
Invenio provides a flexible data model through JSON Schema that allows to describe the resource types in the khub (articles, books, theses, photos, videos, research data and software).
Its search capability is implemented through Elasticsearch, one of the powerful open source search engines.

12. Invenio is a very popular framework, with an active community and many examples can be found in their website.
One of the great systems developed on top of Invenio is Zenodo, a general purpose research repository developed under the European OpenAIRE program and operated by CERN.
Although zenodo doesn’t meet all requirements of the curation process in the knowledge hub, we used it to explore some features of invenio.

13. Exploratory exercise... https://35.181.62.113/
To explore the invenio we decided to use an existing open source application built on top of it, which is zenodo.
We set up an instance on AWS to be able to help understand the workflow with invention modules and learn from the zenodo code.
We identified some of the resource types that we considered essential to the Khub and share them through this instance.

14. GEO Knowledge Hub: Way Forward
GEO Work Programme
GEO KH
GEOSS Platform
GEOSS Evolve
GEO SEC