Maja Rey

Research Groups: Scientific Databases and Visualisation

Institutions: Heidelberg Institute for Theoretical Studies

Olga Krebs

Research Groups: Scientific Databases and Visualisation

Institutions: Heidelberg Institute for Theoretical Studies

Ulrike Wittig

Research Groups: Scientific Databases and Visualisation

Institutions: Heidelberg Institute for Theoretical Studies

https://orcid.org/0000-0002-9077-5664
Facilitating Study and Item Level Browsing for Clinical and Epidemiological COVID-19 Studies.

Abstract (Expand)

COVID-19 poses a major challenge to individuals and societies around the world. Yet, it is difficult to obtain a good overview of studies across different medical fields of research such as clinical … trials, epidemiology, and public health. Here, we describe a consensus metadata model to facilitate structured searches of COVID-19 studies and resources along with its implementation in three linked complementary web-based platforms. A relational database serves as central study metadata hub that secures compatibilities with common trials registries (e.g. ICTRP and standards like HL7 FHIR, CDISC ODM, and DataCite). The Central Search Hub was developed as a single-page application, the other two components with additional frontends are based on the SEEK platform and MICA, respectively. These platforms have different features concerning cohort browsing, item browsing, and access to documents and other study resources to meet divergent user needs. By this we want to promote transparent and harmonized COVID-19 research.

Authors: C. O. Schmidt, J. Darms, A. Shutsko, M. Lobe, R. Nagrani, B. Seifert, B. Lindstadt, M. Golebiewski, S. Koleva, T. Bender, C. R. Bauer, U. Sax, X. Hu, M. Lieser, V. Junker, S. Klopfenstein, A. Zeleke, D. Waltemath, I. Pigeot, J. Fluck

Date Published: 27th May 2021

Publication Type: Journal

SEEK: a systems biology data and model management platform.

Abstract (Expand)

BACKGROUND: Systems biology research typically involves the integration and analysis of heterogeneous data types in order to model and predict biological processes. Researchers therefore require tools … and resources to facilitate the sharing and integration of data, and for linking of data to systems biology models. There are a large number of public repositories for storing biological data of a particular type, for example transcriptomics or proteomics, and there are several model repositories. However, this silo-type storage of data and models is not conducive to systems biology investigations. Interdependencies between multiple omics datasets and between datasets and models are essential. Researchers require an environment that will allow the management and sharing of heterogeneous data and models in the context of the experiments which created them. RESULTS: The SEEK is a suite of tools to support the management, sharing and exploration of data and models in systems biology. The SEEK platform provides an access-controlled, web-based environment for scientists to share and exchange data and models for day-to-day collaboration and for public dissemination. A plug-in architecture allows the linking of experiments, their protocols, data, models and results in a configurable system that is available 'off the shelf'. Tools to run model simulations, plot experimental data and assist with data annotation and standardisation combine to produce a collection of resources that support analysis as well as sharing. Underlying semantic web resources additionally extract and serve SEEK metadata in RDF (Resource Description Format). SEEK RDF enables rich semantic queries, both within SEEK and between related resources in the web of Linked Open Data. CONCLUSION: The SEEK platform has been adopted by many systems biology consortia across Europe. It is a data management environment that has a low barrier of uptake and provides rich resources for collaboration. This paper provides an update on the functions and features of the SEEK software, and describes the use of the SEEK in the SysMO consortium (Systems biology for Micro-organisms), and the VLN (virtual Liver Network), two large systems biology initiatives with different research aims and different scientific communities.

Authors: K. Wolstencroft, S. Owen, O. Krebs, Q. Nguyen, N. J. Stanford, M. Golebiewski, A. Weidemann, M. Bittkowski, L. An, D. Shockley, J. L. Snoep, W. Mueller, C. Goble

Date Published: 15th Jul 2015

Publication Type: Journal

FAIRDOMHub: a repository and collaboration environment for sharing systems biology research

Abstract

Not specified

Authors: Katherine Wolstencroft, Olga Krebs, Jacky L. Snoep, Natalie J. Stanford, Finn Bacall, Martin Golebiewski, Rostyk Kuzyakiv, Quyen Nguyen, Stuart Owen, Stian Soiland-Reyes, Jakub Straszewski, David D. van Niekerk, Alan R. Williams, Lars Malmström, Bernd Rinn, Wolfgang Müller, Carole Goble

Date Published: 3rd Jan 2017

Publication Type: Journal

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