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Main Author: Līga Romāne-Kalniņa
Format: Recurso digital
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19063107
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author Līga Romāne-Kalniņa
author_facet Līga Romāne-Kalniņa
contents This Data Management Plan (DMP) describes the lifecycle management of research data for the postdoctoral project No. 1.1.1.9/LZP/2/25/304. The primary objective is to develop a multi-layered annotated corpus of Latvian social media discourse (platforms including TikTok, Facebook, Instagram, and X) to analyze gender biases. The DMP outlines strategies for data collection, hybrid anonymization (using Tilde Anonymise), multimodality processing (image-to-text captions), and the integration of data into a vector database using Retrieval-Augmented Generation (RAG) methods. It ensures compliance with GDPR and FAIR principles (Findable, Accessible, Interoperable, Reusable) throughout the 36-month project duration (01.01.2026.-31.12.2028.).
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spellingShingle Latvian Council of Science Blueprint Plan - postdoctoral project No. 1.1.1.9/LZP/2/25/304
Līga Romāne-Kalniņa
This Data Management Plan (DMP) describes the lifecycle management of research data for the postdoctoral project No. 1.1.1.9/LZP/2/25/304. The primary objective is to develop a multi-layered annotated corpus of Latvian social media discourse (platforms including TikTok, Facebook, Instagram, and X) to analyze gender biases. The DMP outlines strategies for data collection, hybrid anonymization (using Tilde Anonymise), multimodality processing (image-to-text captions), and the integration of data into a vector database using Retrieval-Augmented Generation (RAG) methods. It ensures compliance with GDPR and FAIR principles (Findable, Accessible, Interoperable, Reusable) throughout the 36-month project duration (01.01.2026.-31.12.2028.).
title Latvian Council of Science Blueprint Plan - postdoctoral project No. 1.1.1.9/LZP/2/25/304
url https://doi.org/10.5281/zenodo.19063107