Scientific database

Automated database that stores information on scientific articles from Scopus and PubMed, based on searches by keywords

Create database

Use the script create_database.sql to create the database in MySQL

Database configuration file

You must properly configure the config_db.py file

    DATABASE_CONFIG = {'host': '',
                       'user': 'lbmcf',
                       'password': '',
                       'db': 'publication_db'}

• host: Host or IP
• user: Database user
• password: Database user password
• db: Name of the database

Application configuration file (Back-end)

You must properly configure the config_app.py file

    APP_CONFIG = {'python_path': '',
                  'app_path': '',
                  'query_scopus': '',
                  'query_pubmed': '',
                  'api_key_scopus': '',
                  'api_key_pubmed': '',
                  'crossref': False,
                  'first_time': False}

• python_path: Absolute path of the Python 3 executable
• app_path: Absolute path of the application folder (scientific_database path)
• query_scopus: Boolean keywords to search in Scopus
• query_pubmed: Boolean keywords to search in PubMed
• api_key_scopus: Scopus API Key. Here, more information to get your key. (Required)
• api_key_pubmed: E-utilities API Key. Here, more information to get your key. (Default: '')
• crossref: Flag (True or False) that allows complementary data searches from Crossref. (Default: False)
• first_time: Flag (True or False) that indicates if it is the first time the application will be executed (Back-end). (Default: False)

Running the application

  $ python3 main.py

Author

• Glen Jasper

Organization

• Molecular and Computational Biology of Fungi Laboratory (LBMCF, ICB - UFMG, Belo Horizonte, Brazil).

License

This project is licensed under the MIT License - see the LICENSE file for details.