Phytosociological Inventory Import: Word to Database

This workflow aims to streamline the integration of phytosociological inventory data from Word documents (.docx) into a MongoDB database. This process is essential for the project's Virtual Research Environment (VRE), facilitating robust data analysis. Key components include converting Word documents to JSON format, checking for duplicate inventories to ensure data integrity, and uploading the JSON files to the database. This workflow ensures a reliable, comprehensive dataset for further exploration and utilization within the VRE, enhancing the project's inventory database.<div><br></div><div>Background</div><div>Efficient data management is crucial in phytosociological inventories, necessitating seamless integration of inventory data. This workflow addresses a key aspect by facilitating the importation of phytosociological inventories stored in Word documents (.docx) into the MongoDB database. This integration is vital for the project's Virtual Research Environment (VRE), providing a foundation for robust data analysis. The workflow comprises two essential components: converting Word to JSON and checking for inventory duplicates, ultimately enhancing the integrity and expansiveness of the inventory database.</div><div><br></div><div>Introduction

In phytosociological inventories, effective data handling is paramount, particularly concerning the integration of inventory data. This workflow focuses on the pivotal task of importing phytosociological inventories, stored in Word documents (.docx), into the MongoDB database. This process is integral to the VRE of the project, laying the groundwork for comprehensive data analysis. The workflow's primary goal is to ensure a smooth and duplicate-free integration, promoting a reliable dataset for further exploration and utilization within the project's VRE.</div><div><br></div><div>Aims</div><div>The primary aim of this workflow is to streamline the integration of phytosociological inventory data, stored in Word documents (.docx), into the MongoDB database. This ensures a robust and duplicate-free dataset for further analysis within the project's VRE. To achieve this, the workflow includes the following key components:

- Word to JSON Conversion: Converts phytosociological inventories stored in Word documents (.docx) to JSON, preparing the data for MongoDB compatibility.

- Duplicate Check and Database Upload: Checks for duplicate inventories in the MongoDB database and uploads the JSON files, incrementing the inventory count in the database.</div><div><br></div><div>Scientific Questions</div><div>- Word Document Parsing: How effectively does the workflow parse and extract phytosociological inventories from Word documents (.docx)?</div><div>- Data Format Compatibility: How successful is the conversion of Word-based phytosociological inventories to the JSON format for MongoDB integration?

- Database Integrity Check: How effective is the duplicate check component in ensuring data integrity by identifying and handling duplicate inventories?

- Inventory Count Increment: How does the workflow contribute to the increment of the inventory count in the MongoDB database, and how is this reflected in the overall project dataset?</div>

Date ( Publication): 2023-12-31T00:00:00

Status: On going / operational

Principal investigator

University of Malaga - José Francisco Aldana Montes

Publisher

LifeWatch ERIC ICT Core - Francisco Manuel SÁNCHEZ-CANO

Custodian

LifeWatch ERIC ICT Core - Antonio José SÁENZ-ALBANÉS

Principal investigator

LifeWatch ERIC ICT Core - ICT Core Group

Keywords: Phytosociological inventory

Keywords: Word documents (.docx)

Keywords: JSON conversion

Keywords: MongoDB database

Keywords: Data integration

Keywords: Duplicate check

Keywords: Data integrity

Keywords: Virtual Research Environment (VRE)

Keywords: Inventory count increment

Keywords: Data parsing

Access constraints: Copyright

Other constraints: Copyright 2023 Khaos Research Group

Protocol: DOI

Service Name: Import file Word

Service Description: Extract phytosociological inventory data from Word documents (.docx).

Service Reference (id): https://gitlab.lifewatch.dev/lfw002-khaos/wrapper-library/-/tree/develop/core/ImportFile/0.0.5

Service Name: Word to JSON

Service Description: Convert the extracted data from Word format to JSON format to ensure compatibility with MongoDB. Check the JSON data for duplicates against existing entries in the MongoDB database to maintain data integrity.