HELIPORT
The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.
Cite this software
Description
HELIPORT is a data management solution that aims at making the components and steps of the entire research experiment’s life cycle discoverable, accessible, interoperable and reusable according to the FAIR principles.

Among other information, HELIPORT integrates documentation, scientific workflows, and the final publication of the research results - all via already established solutions for proposal management, electronic lab notebooks, software development and devops tools, and other additional data sources. The integration is accomplished by presenting the researchers with a high-level overview to keep all aspects of the experiment in mind, and automatically exchanging relevant metadata between the experiment’s life cycle steps.
Computational agents can interact with HELIPORT via a REST API that allows access to all components, and landing pages that allow for export of digital objects in various standardized formats and schemas. An overall digital object graph combining the metadata harvested from all sources provides scientists with a visual representation of interactions and relations between their digital objects, as well as their existence in the first place. Through the integrated computational workflow systems, HELIPORT can automate calculations using the collected metadata.
By visualizing all aspects of large-scale research experiments, HELIPORT enables deeper insights into a comprehensible data provenance with the chance of raising awareness for data management.

- GPL-3.0+
- Open Access
Participating organisations
Reference papers
- 1.Author(s): David Pape, Oliver Knodel, Sebastian StarkePublished by Electronic Communications of the EASST in 202510.14279/eceasst.v83.2597
- 2.Author(s): Oliver Knodel, Thomas Gruber, Jeffrey Kelling, Mani Lokamani, Stefan Müller, David Pape, Martin Voigt, Guido JuckelandPublished in Proceedings of the Conference on Research Data Infrastructure by TIB Open Publishing in 202310.52825/cordi.v1i.277
Mentions
- 1.Author(s): Oliver Knodel, David Pape, Martin Voigt, Thomas Gruber, Jeffrey Kelling, Mani Lokamani, Stefan Müller, Guido Juckeland, Alexander Kessler, Joachim Hein, Chien-Li Lee, Malte Kaluza, Bernd SchullerPublished by Zenodo in 202210.5281/zenodo.7104941
- 2.Author(s): Mani Lokamani, Oliver Knodel, Martin Voigt, David Pape, Thomas Gruber, Jeffrey Kelling, Jan-Christoph Deinert, Stefan. E. Mueller, Guido JuckelandPublished by Zenodo in 202210.5281/zenodo.7054582
- 1.Author(s): Oliver Knodel, Stefan Müller, David PapePublished by Zenodo in 202410.5281/zenodo.10993243
- 2.Author(s): David Pape, Oliver Knodel, Sebastian StarkePublished by Zenodo in 202410.5281/zenodo.10807608
- 3.Author(s): Oliver KnodelPublished by Zenodo in 202210.5281/zenodo.7180647
- 4.Author(s): Oliver Knodel, Martin Voigt, Robert Ufer, David Pape, Mani Lokamani, Stefan E. Müller, Thomas Gruber, Guido JuckelandPublished by Zenodo in 202110.5281/zenodo.5786706