dmp-evaluation-service

Tool for automated assessment of maDMPs

https://github.com/ostrails/dmp-evaluation-service

Science Score: 44.0%

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    Low similarity (6.4%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

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
Created about 1 year ago · Last pushed 8 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation

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

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.
#

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.0.0
title: OSTrails DMP Evaluation Service
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: 
    family-names: 
    email: 
    affiliation: 

GitHub Events

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Last Year
  • Delete event: 2
  • Member event: 3
  • Push event: 38
  • Pull request event: 12
  • Fork event: 2
  • Create event: 6