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Reading Notes
[This might get expanded out into different pages at a later date.]
This is a document to record notes and resources relating to the Climate-Adapt4EOSC Data Service (WP2), technical and cross-domain interoperability.
T2.3 Climate Data Refinery using common models UNIMAN will explore the use of RO-Crate for packaging of enriched climate data, building on specifications like EarthCube Geocodes, Science on Schema and RELIANCE Earth Observation Data Cubes to build a flexible EOSC Climate Metadata profile
Our ro-crate profile should faciliate the creation of ESDC.
Metadata required for a ESDC
| Data Descriptors | name |
| units | |
| resolution | |
| measurement methods | |
| equipment | |
| Data Transformations | resampling |
| interpolation | |
| Metadata transformations | date |
| reason | |
| responsible entity | |
| Responsible Producers | creator entity |
| Data provider |
This could be translated into 3 crate profiles: Data Description, Data Transformations and Responsible Producers. Where Data transformations could be built upon ro-crate workflow run crate. This would require domain knowledge.
Struggling to find a list of variable names in a controled vocabulary that can be used as an ID (URI/URL) in a crate profile.
There are many tools for processing Earth system data within the ESDC lifecycle, mostly in Python, R and Julia, with Python being the most used language for ESDC management. Tools described in the paper are not specific to ESDC, they are things like xarray, satpy and EOreader which are just useful for dealing with EO data.
Code: cf-python
Metadata convention for climate and forecasting data. Working with NetCDF files.
Suggestions for extending the FAIR Principles based on a linguistic perspective on semantic interoperability,Vogt et al, (2025) Nature
Our metadata schema should faciliate the use of AI/ML , be machine-actionable.
Sensor data
At least one of the use cases uses sensor data, therefore our metadata schema should accomodate this.
Digital ecosystem for FAIR time series data management in environmental system science, Bumberger et al. (2025) SoftwareX
Includes a Sensor Management System (SMS) for detailed metadata registration and management, this might be useful for any real-time data from sensors. For example in the UC with a digital twin.
Metadata requirements for spatial data built upon ISO 19115 and 19119 standards. Legal obligation on public bodies to publish particular datasets, gov.uk.