שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | Recurso digital |
| שפה: | אנגלית |
| יצא לאור: |
Zenodo
2025
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| נושאים: | |
| גישה מקוונת: | https://doi.org/10.5281/zenodo.15700068 |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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תוכן הענינים:
- <p>The GREEN-LOG consortium shares the vision that large and unrestricted access to knowledge is a fundamental human value of scientific knowledge progress and dissemination and is essential for generating growth. Thus, open access will be the main driver for sharing scientific results under GREEN-LOG project. In this regard, GREEN-LOG ambition is to remove the industrial barriers of data-sharing to offer them the needed ecosystem to innovate, share ideas and knowledge that permit to advance sustainable transport and logistics services. Thus, GREEN-LOG embraces Open Science and Open Data as a mechanism to bring society a return of investment from our research.<br>The FAIR1 Data Management guidelines are adhered to, as are the Guidelines to the Rules on the Open Access to Scientific Publications and Open Data Access to Research Data. The current data management plan describes: (i) the handling of research data during and after the end of the project; (ii) what data will be collected, processed, and generated; (iii) which methodology and standards will be applied; (iv) whether data will be publicly shared/made open access, and (v) how data will be curated and preserved (including after the end of the project). In terms of accessibility and exploitation, most datasets generated within GREEN-LOG, and as part of the demonstrations, will be available for research purposes to all partners, after being subjected to appropriate anonymisation and securitisation measures to guarantee privacy protection in accordance with General Data Protection Regulation (GDPR). Some datasets might remain private due to privacy, intellectual right protection or commercial interests. The next version of the DMP (due in M18) will provide more details on the translation of the GDPR to GREEN-LOG data collection and handling.<br>The description of the type of data and procedures to facilitate open science is depicted in this first version of the Data Management Plan. Updated versions of this Data Management Plan will be made available as the project progresses and more specifically at M18, M36 and M42.<br>The data to be collected and generated during the lifetime of the project includes network and freight models, land use data, supply/demand data, routing data, traffic data, qualitative and quantitative questionnaire and interview data, as well as assessment and evaluation outcomes.<br>The partners will also contribute to novel research work and transfer the generated knowledge to the general public and wider logistics community through the publication of the deliverables, webinars, scientific publications and other communication and dissemination materials.<br>It is envisioned to use a SharePoint repository with restricted access for members of GREEN-LOG consortium during the project lifetime to store some of the outcomes produced during the project such as project deliverables, interviews, reports, or scientific publications. This repository can store both confidential and public information under the supervision of the Data Protection Officers nominated by each partner and to be shared under NDA or bilateral agreements, if needed. However, the data sets to be used or to be generated during the project will be stored in the GREEN-LOG DataSpace to be developed within WP2, within different accessibility levels.<br>For the data selected to be public, after the anonymisation of any sensitive information, the datasets will be made open to the general public in Zenodo, under HE GREEN-LOG community and OpenAIRE community.</p> <p>Open access publications will be made available in Zenodo, GREEN-LOG webpage and, also, in Open Research Europe.<br>Finally, for software components envision to be open source, the source code will be made available on GitHub.</p>