Coscine

Detailed description of the service 

The generic research data platform Coscine has been developed as open source software at RWTH Aachen University and is used for the management of research (meta)data as well as for the allocation and provisioning of storage resources for research data <image Coscine_Network_ResearchAreas>. Coscine is developed according to the FAIR principles and implements interfaces for the so-called FAIR Digital Objects. For researchers, Coscine offers access to all research data of a research project, the linking with project or subject-specific metadata and the management of project members. Thanks to its low-threshold access management, Coscine can be used as a collaboration platform across university boundaries. The findings and requirements from national (NFDI, NHR) and international projects (EOSC, gaia-x, RDA) are also incorporated into the development of Coscine and enable both subject-specific and interdisciplinary use of the platform.

<image Coscine_Overview_inclPID>.

Web-Based User Interface (UI)

For nationwide cooperation, Coscine allows the invitation of national and international researchers to a research project. Users can log in via the NFDI4ING Community AAI or as international researchers using the ORCiD.

In Coscine, research data and metadata can be archived for 10 years after the end of a project.

Since Coscine is a generic platform for the active project phase, it does not offer curation and publication of research data via a DOI. However, Coscine supports researchers in their publication by offering a function to share the generated metadata easily with publication services. Coscine is also not offering long term archiving beyond 10 years.

Research Data Storage

Through the integration of various services described as resources, researchers can view and manage all project data in one place via the Coscine web interface and/or the Coscine API. Coscine provides for NFDI4ING projects access to storage space on the research data storage (RDS) and from the end of 2024 on the DataStorage.nrw. The storage can be accessed via the web interface, API or S3 protocols directly. Moreover, resources from GitLab as well as Linked Data are integrated. Based on customer requests or market changes, additional resources can continuously be added or replaced.

For each project and resource, Coscine assigns a handle PID to allow referencing research data outside of Coscine.

Metadata Management UI and API

Metadata is automatically linked to research data at project, resource and data level. On data level, metadata can be added using flexibly definable schemas that are based on RDF, OWL, and SHACL standards, ensuring its interoperability. Individual metadata profiles can be created and added to Coscine by using the Metadata Profile Creator. Centralized management of metadata ensures that searching across all available metadata becomes possible.

<image CoscineStrukturGrafikv2_en>.

Terms of use & restrictions

Is registration required? Yes
Are there any costs? No
Who may use the service, how and for what? https://about.coscine.de/termsofuse/

Contact 

Dr. Ilona Lang, servicedesk@rwth-aachen.de

References

publications that reference (or report on using) the service

Yazdi, M.A., Politze, M., Müller, M. (2024). A Novel Approach to Outlining Research Data Management Life Cycle: A Case Study. In: Li, S. (eds) Information Management. ICIM 2024. Communications in Computer and Information Science, vol 2102. Springer, Cham. https://doi.org/10.1007/978-3-031-64359-0_4

Lang, I., Nellesen, M. & Politze, M., (2024) “RDM Platform Coscine – FAIR play integrated right from the start”, ing.grid 1(2). doi:  https://doi.org/10.48694/inggrid.3952

Politze, M., Lang, I., & Jansen, K. (2023). Coscine.nrw Landesweite Basisversorgung zur Verwaltung von Forschungsdaten im Open Source Modell. Proceedings of the Conference on Research Data Infrastructure 1. https://doi.org/10.52825/cordi.v1i.235

Politze, M., Shakeel, Y., Hunke, S., Ost, P., Aversa, R., Heinrichs, B., & Lang, I. (2023). Long Term Interoperability of Distributed Research Data Infrastructures. Proceedings of the Conference on Research Data Infrastructure 1. https://doi.org/10.52825/cordi.v1i.348

Yazdi, M.A., Politze, M., Heinrichs, B.: Research data reusability with content-based recommender system. In: Conte, D., Fred, A., Gusikhin, O., Sansone, C. (eds.) DeLTA 2023. CCIS, vol. 1875. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-39059-3_10

Heinrichs, B., Politze, M., Yazdi, M.A.: Evaluation of architectures for FAIR data management in a research data management use case. In: Proceedings of the 11th International Conference on Data Science, Technology and Applications (DATA). SciTePress (2022). https://doi.org/10.5220/0011302700003269. https://publications.rwth-aachen.de/record/853932

#WhyNFDI

Why Coscine?

  • To exchange FAIR data with cooperation partners all over the world.

  • Because Big Data needs Big and FAIR Storage Environments

  • For FAIRness for every Bit(e) of research data (-> not just for published data)

  • Because research is a team sport (-> Cooperation)

  • Because researchers need time for research instead of searching for data (-> PIDs, search function)

  • Because the value of data ends not with a project (-> 10 years archiving)

  • Because no metadata is not an option (-> Coscine enforces at least two layers of metadata)

 

Miscellaneous

Links to instructions for use/guides

Webpage (Events, News, About ect.) https://about.coscine.de/

Documentation https://docs.coscine.de/de/

Development https://git.rwth-aachen.de/coscine

Mailinglist: https://lists.rwth-aachen.de/postorius/lists/coscine.lists.rwth-aachen.de/

Tags

NFDI4ING services may be relevant to different users according to varying requirements. To support filtering or sorting, we added a tag system outlining which archetype, phase of the data lifecycle, or degree of maturity a service corresponds to. By clicking on one of the tags below, you can get an overview of all services aligned with each tag.

This service has the following tags:

The tags correspond to:
The Archetypes: Services relevant to Alex – Bespoke Experiments, Betty – Research Software Engineering, Caden – Provenance Tracking, Doris – High Performance Computing, Ellen – Complex Systems, Fiona – Data Re-Use and Enrichment

The data lifecycle: Services related to Informing & Planning, Organising & Processing, Describing & Documenting, Storing & Computing,
Finding & Re-Using, Learning & Teaching

The maturity of the service: Services sorted according to their maturity and status of their integration into the larger NFDI service landscape. For this we use the Integration Readiness Level (IRL), ranging from IRL0 (no specifications, strictly internal use) up to IRL4 (fully integrated in the German research data landscape and the EOSC). Click here for a diagram outlining all Integration Readiness Levels.