Jan Range and Sarbani Roy at the Dataverse Community Meeting 2023 in Portugal

June 2, 2023 / mm

Jan Range and Sarbani Roy from the SimTech Cluster of Excellence will present their newly added features and future implementations to the Dataverse project at the yearly Dataverse Community Meeting 2023, from June 5 to June 7 in Braga, Portugal. They have contributed various applications to Dataverse: EasyDataverse to interact with Dataverse dynamically, a HDF5 previewer app adopted from H5Web to preview HDF5 files, EasyReview to facilitate and distribute reviews for datasets, and building necessary infrastructure beside Dataverse to archive containers of research software.

Their presentations:

Enhancing Research Software Archivability with a Container Registry in Dataverse 

(Sarbani Roy, Anett Seeland, Dorothea Iglezakis, Jan Range)

Increasing adoption of FAIR principles in research drives the need to incorporate them into research software, highlighting the importance of archiving research software in platforms like Dataverse. As an initial step Sarbani Roy recognized the prevalence of software development within containers, highlighted the need for container archivability within Dataverse and proposed the integration of a container image registry. The SimTech Research Data Management team collaborated with Dorothea Iglezakis from the FoKUS Research Data Competence Center at the University of Stuttgart to develop a metadata block that captures run command arguments and provides a vendor-agnostic solution enabling users to store, retrieve, and run container images. This approach enhances reproducibility and replicability, allowing users to explore and update archived research software directly from DaRUS.

Geospatial and high-dimensional data in Dataverse

(Jan Range, Philip Durbin (Harvard IQSS), Ana Trisovic (Harvard IQSS))

Philip Durbin and Ana Trisovic from Harvard IQSS developed an application of geospatial data in Dataverse, climate data for instance, and an automatic extraction of metadata from NetCDF files (contains geospatial data). To inspect datasets, a preview of HDF5 (relevant for simulations) and NetCDF5 files, Jan Range developed the H5Web adoption and implemented it into Dataverse.

EasyReview: A graphical user interface for Dataverse dataset reviews

(Jan Range)

Jan Range developed a review tool to control dataset metadata and files. The streamlined process offers a simple yet controllable interface that can be distributed across many experts for a comprehensive Review process.

Dataverse Community Meeting 2023

Research Data Management at SimTech

RDM at SimTech develops data management strategies, guidelines and technical solutions and offers the possibility to initiate data and software management projects in close collaboration with researchers. 

Jan Range is a skilled professional holding a Master of Science degree in Biotechnology. Since 2021, he has been working as a Ph.D. student and Research Software Engineer at the Cluster of Excellence “Data-integrated Simulation Sciences (SimTech)” at the University of Stuttgart. Jan actively contributes to the areas of data management and biocatalysis, with a strong focus on big data and promoting the reproducibility of simulation data. Jan's contributions to the scientific community include the development of the data format EnzymeML and EasyDataverse, a Python library that facilitates seamless interaction with Dataverse.

Sarbani Roy is a Research Software Engineer at the Cluster of Excellence “Data-integrated Simulation Sciences (SimTech)” and working as scientific assistant at the Department of Hydromechanics and Modelling of Hydrosystems at the University of Stuttgart. Sarbani Roy passed her Ph.D. in Mathematics in 2020 at the Indian Institute of Technology Kharagpur.


Jan Range, E-Mail: Jan.Range@simtech.uni-stuttgart.de

Sarbani Roy, E-Mail: sarbani.roy@simtech.uni-stuttgart.de

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