dmp-evaluation-service
Tool for automated assessment of maDMPs
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (6.4%) to scientific vocabulary
Repository
Tool for automated assessment of maDMPs
Basic Info
- Host: GitHub
- Owner: OSTrails
- License: mit
- Language: Kotlin
- Default Branch: main
- Size: 294 KB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
DMP-Evaluation-Service
Repository with specifications and rulesets developed to support the semi-automated evaluation of Data Management Plans (DMPs). It is designed to support evaluation of both machine-actionable DMPs (maDMPs), i.e. in JSON format and compliant with the DMP Common Standard (DCS), as well as traditional, narrative-style DMPs. It is a key component of the OSTrails project (https://ostrails.eu/) and reflects input from research funders, institutional policy frameworks, and research support needs.
Authors: Tomasz Miksa, Elli Papadopoulou, Lukas Arnhold, Andres Mauricio, Maria Kontopidi, Diamantis Tziotzios, Georgios Kakaletris
Evaluation Dimensions
Evaluation is organised across five core dimensions, each addressing a critical aspect of a high-quality Data Management Plan: - Content Completeness: Verifies whether all required sections of the DMP have been addressed. It checks for presence, adequacy, and consistency of information, ensuring that no essential element is missing. - Research Data Management Coverage: Assesses how thoroughly the DMP addresses key areas of research data management, such as data collection, documentation, storage, access, sharing, and preservation. - Openness: Examines the extent to which the DMP supports open access to data, metadata, and other outputs, including considerations of licensing, embargo periods, and justifications for any access restrictions. - FAIRness: Evaluates the extent to which the DMP aligns with the FAIR Principles (Findable, Accessible, Interoperable, Reusable), including aspects such as metadata richness, licensing, and use of persistent identifiers. - Policy alignment: Measures the degree to which the DMP reflects and adheres to relevant institutional, funder, and legal policies (e.g., GDPR compliance, data sharing mandates). - Standards compliance: Evaluates whether the DMP adheres to recognized structural and content standards (e.g., the DMP Common Standard), supporting interoperability, machine-readability, and alignment with community expectations.
Exemplar metadata
Compatible with: https://github.com/OSTrails/FAIRassessmentoutput_specification
Owner
- Name: OSTrails
- Login: OSTrails
- Kind: organization
- Repositories: 1
- Profile: https://github.com/OSTrails
Citation (CITATION.cff)
#
# Copyright © 2025 OSTrails
#
# Licensed under the MIT License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://spdx.org/licenses/MIT.html
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
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cff-version: 1.0.0
title: OSTrails DMP Evaluation Service
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GitHub Events
Total
- Delete event: 2
- Member event: 3
- Push event: 38
- Pull request event: 12
- Fork event: 2
- Create event: 6
Last Year
- Delete event: 2
- Member event: 3
- Push event: 38
- Pull request event: 12
- Fork event: 2
- Create event: 6