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

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: 10.1111/1752-1688.12434) 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.

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

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

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

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

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

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

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

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.

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.

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.

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