@@ -16,10 +16,6 @@ DIMA provides reusable operations for data integration, manipulation, and extrac
4.**Jupyter notebooks**
Demonstrates DIMA’s core functionalities, such as data integration, HDF5 file creation, visualization, and metadata annotation. Key notebooks include examples for data sharing, OpenBis ETL, and workflow demos.
## Repository Structure
## Requirements
For **Windows** users, the following are required:
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@@ -66,7 +62,29 @@ Open **Anaconda Prompt** or a terminal with access to conda.
conda env create --file environment.yml
```
## Software arquitecture
## Repository Structure and Software arquitecture
**Directories**
-`input_files/` stores some example raw input data or campaign descriptor YAML files.
-`output_files/` stores generated outputs for local processing.
-`instruments/` contains instrument-specific dictionaries and file readers.
-`src/` contains the main source code, HDF5 Writer and Data Operations Manager.
-`utils/` contains generic data conversion operations, supporting the source code.
-`notebooks/` contains a collection of Jupyter notebooks, demonstrating DIMA's main functionalities.
-`pipelines/` contains source code for the data integration pipeline and metadata revision workflow.
-`visualization/` contains primarily functions for visualization of HDF5 files as treemaps.
