Update index.md

docs/Data_Standardization/index.md

@@ -47,7 +47,7 @@ The above points focus on standardising project data for **discovery**.  Additio
 
 ## Timing of standardisation work
 
-Project data schema(s) is/are a prerequisite for creating standardised data products. If anticipated early in the project design cycle, standardised data components may be incorporated directly into a project’s primary data schema itself. Often however, whether because of project momentum or a commitment to existing information technology infrastructure, a data schema is non-standardised, and so data products require a mapping process to transform existing project data into standardised format for external use. This mapping process is performed either by specialised conversion scripts that often have to be tweaked over time, or ideally by using data schemas established (e.g. for target [storage repositories](https://github.com/ClimateSmartAgCollab/Documentation-en/blob/main/docs/storage/index.md)) for the target standardised data products, combined with a more generic programmatic template to do the conversion from one schema to another. One can also expect iteration of specification work as data schemas evolve for surveillance or longitudinal research.
+Project data schema(s) is/are a prerequisite for creating standardised data products. If anticipated early in the project design cycle, standardised data components may be incorporated directly into a project’s primary data schema itself. Often however, whether because of project momentum or a commitment to existing information technology infrastructure, a data schema is non-standardised, and so data products require a mapping process to transform existing project data into standardised format for external use. This mapping process is performed either by specialised conversion scripts that often have to be tweaked over time, or ideally by using data schemas established (e.g. by [storage repositories](https://github.com/ClimateSmartAgCollab/Documentation-en/blob/main/docs/storage/index.md)) for the target standardised data products, combined with a more generic programmatic template to do the conversion from one schema to another. One can also expect iteration of specification work as data schemas evolve for surveillance or longitudinal research.
 
 ## Training resources ###
 TBD