Data Management and Reproducibility Methods Report

This deliverable is the second version of the data management plan for SLICES-SC, thus, following deliverable 3.1, however, it also contains reporting activities in regard to the reproducibility methodology of SLICES. The aim of a data management plan is to detail the handling of personal data that is involved in a research project, such as SLICES, and, as such, provide integrity and accountability for partners and stakeholders throughout the project. As the second version, the aim of D3.2 is to build upon the work that has been done within the first version of the data management plan. Therefore, this version will solely contain updates I regard to regulatory compliance and the management of data by the consortium partners. Furthermore, this document will have another focal point, next to providing updates for the data management, which is reproducibility. As such, the importance of reproducibility, especially in regard to the avoidance of errors in repetition of the experiment, is detailed, as well as best practices are suggested in order to attain to common standards of reproducibility. In regard to the updates of the data management plan, this document focusses less on the ethical components, as those are provided for, in detail, in the ELES report. However, an overview of the partner’s handling of personal data is given as well. Thus, an extensive data summary is given detailing aspects such as type, size and format of data, as well as, the purpose of processing or reusing the data. An overview of the collection and processing activities of personal data by the partners is given as well, and safeguards are explained that are being taken in order to comply with relevant legislation on data protection. Additionally, data monitoring is discussed and new ways of enhancing coordination in regard to data protection are introduced as well. In regard to the latter, the tasks and objectives of the Data Protection Office are described, including the website, which enables partners to easily update information if something has changed in regard to their data management, and it enables data subjects to be able to contact a central point to complain about the exercise of their rights in regard to data protection. Lastly, this deliverable produces recommendations addressing the general data management activities conducted throughout the project, but also specific recommendations on how reproducibility requirements can be adhered to accordingly.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-22
DOI
https://doi.org/10.5281/zenodo.14203754
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Data Management and Reproducibility Methods Report

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Data Management and Reproducibility Methods Report

article en

Abstract

This deliverable is the second version of the data management plan for SLICES-SC, thus, following deliverable 3.1, however, it also contains reporting activities in regard to the reproducibility methodology of SLICES. The aim of a data management plan is to detail the handling of personal data that is involved in a research project, such as SLICES, and, as such, provide integrity and accountability for partners and stakeholders throughout the project. As the second version, the aim of D3.2 is to build upon the work that has been done within the first version of the data management plan. Therefore, this version will solely contain updates I regard to regulatory compliance and the management of data by the consortium partners. Furthermore, this document will have another focal point, next to providing updates for the data management, which is reproducibility. As such, the importance of reproducibility, especially in regard to the avoidance of errors in repetition of the experiment, is detailed, as well as best practices are suggested in order to attain to common standards of reproducibility. In regard to the updates of the data management plan, this document focusses less on the ethical components, as those are provided for, in detail, in the ELES report. However, an overview of the partner’s handling of personal data is given as well. Thus, an extensive data summary is given detailing aspects such as type, size and format of data, as well as, the purpose of processing or reusing the data. An overview of the collection and processing activities of personal data by the partners is given as well, and safeguards are explained that are being taken in order to comply with relevant legislation on data protection. Additionally, data monitoring is discussed and new ways of enhancing coordination in regard to data protection are introduced as well. In regard to the latter, the tasks and objectives of the Data Protection Office are described, including the website, which enables partners to easily update information if something has changed in regard to their data management, and it enables data subjects to be able to contact a central point to complain about the exercise of their rights in regard to data protection. Lastly, this deliverable produces recommendations addressing the general data management activities conducted throughout the project, but also specific recommendations on how reproducibility requirements can be adhered to accordingly.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 42%
Research Data Management Practices
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Data Management and Reproducibility Methods Report · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS