Service Project: Data Management

对于一个跨学科的研究网络，如PALTELLiPerF，一个有效的和全面的数据管理是其成功的关键。该服务项目旨在组织数据管理的各个方面，并支持研究单位内外的数据共享和存储。数据管理项目的目标是为QuaLiPerF的所有成员提供有关数据管理的最佳支持。这包括安全、系统地处理、存储和共享在PALTELiPerF内生成的数据，以及确保数据质量和文档。我们将严格遵守F.A.I.R.数据原则。科学界的长期可重复使用性特别重要。这适用于实验室数据、匿名患者数据以及建模者创建的数据。LIFIPERF将严格遵守已建立的数据处理和长期数据存储的通用和专业特定标准，并将实施全面的数据控制和管理程序。我们将设置一个联合存储库，其中包含基于约定的文件命名和文件夹结构。指定的数据管理员的主要任务是确保所有项目的所有参与科学家遵守数据管理计划。数据管理员还必须保护数据存储并负责备份。这包括我们项目wiki中的结构、法规和流程文档。最后，该项目将组织长期存储在EPL-LiPerF中生成的数据，并确保在项目结束时科学界可以访问这些数据。

For an interdisciplinary research network like QuaLiPerF, an efficient and comprehensive data management is essential for its success. This service project is designed to organize all aspects of data management and to support sharing and storage of data within and outside of the research unit. The goal of the data management project is to offer all members of QuaLiPerF an optimal support regarding data management. This includes the secure systematic handling, storage and sharing of data generated within QuaLiPerF, as well as ensuring data quality and documentation. We will strictly adhere to the F.A.I.R. data principles. Long-term re-usability for the scientific community is of particular importance. This applies to experimental laboratory data, anonymized patient data, as well as to data created by the modelers. QuaLiPerF will strictly adhere to established general and discipline-specific standards for data handling and long-term data storage and will implement comprehensive data control and management procedures. We will setup a joint repository with convention-based file naming and folder structure. The main task of the designated data manager is to ensure the adherence of all participating scientists in all projects to the data management plan. The data manager also has to secure the data storage and is responsible for backups. This includes documentation of structures, regulations and processes in our project wiki. Finally, this project will organize long term storage of data generated within QuaLiPerF and will assure accessibility of the data for the scientific community at the end of the project.