MongoDB Data Loader for OpenAIRE Community Data Dump

Overview

This script, create_tables_from_jsonschema.py, is designed to load data from gzipped JSON files into a MongoDB collection, while also validating the data against a specified JSON schema.

Purpose

The primary objectives of the script are:

1. Configurable Database and File Parameters: The script reads parameters such as MongoDB URI, database name, collection name, schema file, and directory containing gzipped JSON files from a configuration file (config.yaml).

2. Schema Validation: Before loading the data, the script converts the provided JSON schema to a MongoDB validation schema. This ensures that all data inserted into the MongoDB collection adheres to the defined schema.

3. Dynamic File Loading: Instead of working on a pre-defined set of filenames, the script dynamically reads and processes all gzipped JSON files present in the specified directory. This ensures flexibility and scalability for different data sets.

4. Error Handling: The script is equipped with comprehensive error handling mechanisms. It gracefully manages issues such as missing configuration files, invalid JSON schemas, data insertion errors, and more.

Specific Use Case: Analysis of Dutch Research Output from OpenAIRE

The script has been utilized to process and analyze the data dump from OpenAIRE Community, specifically focusing on the Dutch Research Output. OpenAIRE provides comprehensive research data, and by extracting the Dutch-specific research output, the goal is to gain insights into the research trends, patterns, and contributions of Dutch academia.

By loading this data into a noSQL database (MongoDB in this case), we facilitate:

• Dynamic Dashboards: Interactive dashboards can be created to provide real-time insights into the research data, allowing for drill-down capabilities into specific research areas, institutions, or time frames.

• Custom Reports: With the data in MongoDB, custom reports can be generated to highlight specific trends, notable research contributions, or any other aspect of interest.

• Data Analysis: The structured storage in MongoDB aids in complex data analysis processes, from basic statistical analysis to machine learning models, to derive meaningful conclusions from the data.

Usage

To run the script:

python create_tables_from_jsonschema.py

Make sure you have all the necessary Python packages installed and the config.yaml file properly set up before executing the script.

To do so follow the setup instructions below.

Setup Instructions for OpenAIRE Data Loader

1. Installing Windows Subsystem for Linux (WSL)

1. Open PowerShell as Administrator and run the following command:

   wsl --install

2. Once installed, open the Microsoft Store, search for "Ubuntu", and install it.

3. Launch Ubuntu. The first time you launch it, you'll be prompted to create a user and set a password.

2. Installing Python

1. Update package lists and install prerequisites:

   sudo apt update
   sudo apt install software-properties-common

2. Add the deadsnakes PPA (Personal Package Archive) to your sources:

   sudo add-apt-repository ppa:deadsnakes/ppa

3. Install Python:

   sudo apt install python3.9

3. Installing Git

1. Install Git:

   sudo apt install git

2. (Optional) Configure Git:

   git config --global user.name "Your Name"
   git config --global user.email "youremail@example.com"

4. Installing Docker

1. Update package lists:

   sudo apt update

2. Install Docker dependencies:

   sudo apt install apt-transport-https ca-certificates curl software-properties-common

3. Add Docker’s official GPG key:

   curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

4. Add Docker repository:

   sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

5. Install Docker:

   sudo apt update
   sudo apt install docker-ce

6. Start Docker:

   sudo systemctl start docker

7. Enable Docker to start on boot:

   sudo systemctl enable docker

5. Installing MongoDB using Docker

1. Pull the MongoDB Docker Image:

   docker pull mongodb/mongodb-community-server:latest

2. Run MongoDB as a Docker container:

   docker run --name mongo -d -p 27017:27017 mongodb/mongodb-community-server:latest

6. Cloning the Repository

1. Navigate to your desired directory and clone the repo:

   git clone https://github.com/ubvu/openaire-json2db.git

2. Navigate into the cloned directory:

   cd openaire-json2db

7. Setting Up Python Environment

1. Install pip and virtualenv:

   sudo apt install python3-pip
   pip3 install virtualenv

2. Create a new virtual environment:

   virtualenv venv

3. Activate the virtual environment:

   source venv/bin/activate

4. Install necessary Python packages:

   pip install -r requirements.txt

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Note: Make sure you deactivate the virtual environment once you're done by running deactivate.

This setup guide should provide a comprehensive walkthrough to get your environment up and running. Remember to back up any important data before making significant changes to your system, and always ensure that you have proper permissions for installations.