Published July 16, 2024
| Version 0
Output management plan
Restricted
CHIST ERA JuDDGES (Judicial Decision Data Gathering, Encoding and Sharing)
Authors/Creators
- 1. Université Claude Bernard Lyon1, Middlesex University, Wrocław University of Science and Technology
Contributors
Project members:
Researchers:
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Tomasz Kajdanowicz (orcid:0000-0002-8417-1012)2
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Krzysztof Kaminski (orcid:0000-0003-2103-371X)2
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Santosh Tirunagari (orcid:0000-0002-9064-1965)2
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Mandeep Dhami (orcid:0000-0001-6157-3142)2
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Chérifa Boukacem-Zeghmouri (orcid:0000-0002-0201-6159)2
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Łukasz Augustyniak (orcid:0000-0002-4090-4480)2
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David Windridge (orcid:0000-0001-5507-8516)2
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Michał Bernaczyk (orcid:0000-0001-7683-8852)2
- 1. Université Claude Bernard Lyon1, Middlesex University, Wrocław University of Science and Technology
- 2. orcid
Description
This document corresponds to the Data Mangement Plan for the JuDDGES (Judicial Decision Data Gathering, Encoding and Sharing) project and aims to apply FAIR principles to data and software produced. It will be updated regularly, at least every semester until the end of the project.
The overall goal of the JuDDGES project is to harness state-of-the-art Natural Language Processing & Human-In-The-Loop technologies to provide legal researchers with new Open software and tools that enable extensive, flexible and on-going meta-annotation capability (both automated and employing domain experts in-the-loop). This capability is applied to legal records/judgments from criminal courts across jurisdictions with varied legal constitutions (Poland, England & Wales).
The project is organized into 4 WPs :
- WP1: Project management
- WP2: Gathering and Human Encoding of Judicial Decision Data
- WP3: NLP and HITL Machine Learning Methodological Development
- WP4: Open science practices & engaging early career researchers
Website link coming soon