HZDR Data Management Strategy — Top-Level Architecture

DOI

This data publication contains an overview to the Top-Level Architecture of the proposed HZDR Data Management Strategy with additional description of the various systems and services. 

The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) pursues a comprehensive data management strategy that is designed as an architecture of services to describe and manage scientific experiments in a sustainable manner. This strategy is based on the FAIR principles and aims to ensure the findability, accessibility, interoperability and reusability of research data. The HZDR's comprehensive data lifecycle covers all phases of the data lifecycle: from planning and collection to analysis, storage, publication and archiving. Each phase is supported by specialised services and tools that help scientists to efficiently collect, store and share their data. These services include:

Electronic lab notebook: for the digital recording and management of lab experiments and data.
Data management plans (RDMO): For planning and organising data management during a research project.
(Time Series) Databases: For structured storage and retrieval of research data.
File systems: For storing and managing files in a controlled environment.
Publication systems (ROBIS, RODARE): For the publication and accessibility of research data and results.
Metadata catalogue (SciCat): For describing data in a wide variety of subsystems using searchable metadata
Repositories (Helmholtz Codebase): For archiving, version control and provision of software, special data sets and workflows. 
 Proposal Management System (GATE): For the administration of project proposals and approvals.

The superordinate web service HELIPORT plays a central role here. HELIPORT acts as a gateway and connecting service that links all components of the Data Management Strategy and describes them in a sustainable manner. HELIPORT ensures standardised access to the various services and tools, which considerably simplifies collaboration and the exchange of data. The HZDR's data policy sets out clear guidelines for handling research data. It defines responsibilities, regulates the access and use of data and ensures that all data is managed in accordance with the FAIR principles. This policy promotes the open exchange of research results, supports collaboration between scientists and institutions and contributes to the transparency and reproducibility of scientific research. By combining a comprehensive data lifecycle, a clear data policy and a robust service architecture, the HZDR is creating a powerful infrastructure for data management. This infrastructure makes it possible to describe and manage data sustainably, which increases research efficiency and promotes scientific innovation. The HZDR thus makes an important contribution to the further development of science and to overcoming global challenges through excellent research.

Identifier
DOI https://doi.org/10.14278/rodare.2513
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-29873
Related Identifier References https://doi.org/10.14278/rodare.946
Related Identifier HasPart https://doi.org/10.14278/rodare.2269
Related Identifier IsDocumentedBy https://doi.org/10.52825/cordi.v1i.277
Related Identifier IsPartOf https://doi.org/10.14278/rodare.193
Related Identifier IsPartOf https://rodare.hzdr.de/communities/hzdr
Related Identifier IsPartOf https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:2513
Provenance
Creator Knodel, Oliver ORCID logo; Gruber, Thomas ORCID logo; Kelling, Jeffrey ORCID logo; Lokamani, Mani ORCID logo; Müller, Stefan ORCID logo; Pape, David ORCID logo; Juckeland, Guido ORCID logo
Publisher Rodare
Publication Year 2023
Rights Creative Commons Attribution Non Commercial 4.0 International; Open Access; https://creativecommons.org/licenses/by-nc/4.0/legalcode; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Version 5.0.1
Discipline Life Sciences; Natural Sciences; Engineering Sciences