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A large amount of data is collected each year in the subprojects of the Biodiversity Exploratories (BE), reflecting the broad spectrum of scientific questions. It is essential to store these data centrally to ensure easy, fair and reproducible data sharing between the researchers. 

It is also crucial that these data are not lost and are available for future generations of researchers within the BE and as well as external projects. Long-time series are for many questions in biodiversity research of great interest.

To ensure this, the data management project, as one of the central infrastructure projects, has accompanied the BE from the beginning. It is located at the Friedrich Schiller University in Jena, Germany.
It is the first contact point for all aspects of research data management for all BE participants, other researchers, and the interested public.


We achieve the main goals described above regarding the storage and exchange of the research data with a web application called BExIS. Below you will find sections with additional information on this. 

We support researchers in using BExIS and in all data management issues. We offer help in uploading data into BExIS and ensure high data quality (data curation). Last but not least, we advise and support researchers in publishing their data.

In addition to the research data support, we promote the exchange of important documents and publications in the overall project and offer software tools for querying basic data, such as climate data. Furthermore, we support the researchers by providing important information and tools for planning and conducting fieldwork in BExIS. These aspects are shown in the following figure and explained in more detail in the ‘Functionalities of BExIS section’.


BExIS is the abbreviation of our information system name ‘Biodiversity Exploratories Information System’. Initially, the software was developed and continuously extended in the BE project since 2007 (BExIS, 1st generation). Other research projects also showed interest in such an application. But it was not easy to set up BExIS for other projects, as it was developed for the demands of the BE. Hence, a DFG project was initiated in 2012 with the participation of our team. The goal was to develop a modular data management system for ecological data that can be easily adapted to the needs of different projects.

The new software was named BEXIS2 and is a freely available, server-based research data management application. It is designed to support the entire data life cycle and is highly configurable. Among other things, it supports the use of different metadata schemas, access to different versions of the data, predefinition of variables, rights assignment with an integrated release request and release management for datasets, search configuration, and DOI assignment.

In February 2021, the BE project started to use the BEXIS2 software. However, the name ‘BExIS’ continues to stand for the BE’s information system. Since the BExIS2 software is modular, we extended it with our BE-specific functionalities (see section ‘Functionalities of BExIS’) and made them available to other projects using BEXIS2.

If you are interested in the development of the platform, you can get an overview on the GitHub pages:

  • BEXIS2: the core data management software
  • BExIS: BE specific features, provided as BEXIS2 modules

For the current phase, various work packages have been proposed to guarantee the day-to-day operation of the research database and data management in general. The secure storage of data in a sustainable data management system requires the management of the research data and the support of the users, maintenance of the technology and software, and the further development of BEXIS2 and BE specific features.

Aspects of data mobilization and publication are also part of these work packages. Our work includes an active curation of the data together with the scientists to achieve a high quality of the metadata and the data and to be able to offer them FAIR to the public, also with a DOI.

In order to be able to continuously offer high data quality and to support the FAIR principles, we will continue to work on the software. We will implement functions that promote a high data quality and, in particular, support the work of a data curator.

A particular focus in this phase will be on enabling persistent identifier (PID) use and enriching and linking various internal resources with it. This information should be made available externally and linked to corresponding open services.

Furthermore, in this phase, we want to introduce data management plans (DMP) in the BEs. Based on available recommendations, we will create a concept and support the projects filling out the DMPs.


BEXIS2 mainly provides functions for handling data and managing registered persons. An overview of the core functions can be found on the BEXIS2 feature page.

In addition, we develop special functions tailored to the needs of the BE (see goals). Since we also follow the modular approach during programming, these modules are usable by other projects. An overview of existing BEXIS2 modules is provided on the BEXIS2 module page. Below you find a brief overview of our developed components.

Resource booking system

With this system, resources can be self-defined and administered in a calendar. We use it for the booking in the field stations of the study regions. The researchers can reserve sleeping places and equipment available in the stations. Furthermore, it shows planned work and affected areas .

Document upload system

This module is used to create web pages to manage documents in BEXIS2. On these pages, important and cross-project-related documents can be shared centrally. It is adjustable who can see the page and its files, who can upload files and also delete them again.

Event registration system

The system allows the management of registrations for own events. Details such as the required information for the events and the registration period can be configured individually. Participants receive an email after registration and can customize it later.

Photo gallery

Many photos are taken during fieldwork and events by the several projects. The photo gallery is a central place to store these photos and make them available to other researchers. The images are displayed in a preview and can be filtered by keywords. You can put pictures into a shopping cart to order them afterward.

Graphical research area management

With this system, it is possible to draw maps of the study areas using simple graphical shapes, such as circles, squares, and lines. These maps assist researchers in planning the various studies. It also documents all previous investigations.

Climate data embedding system

The data from the climate stations are managed in a separate application. With this module, the application is integrated seamlessly in BEXIS2.

Calculation of an important parameter of land-use

The so-called LUI (land-use intensity index) is a parameter that describes the management intensity of grassland. The calculation is based on different parameters of grassland management. With the help of this application, researchers can calculate the LUI specifically for the current question by selecting relevant years and areas.


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Ontology- and graph-based approaches for the bibliometric analysis of scientific publications using the example of the Biodiversity Exploratories
Ontologie- und Graphenbasierte Ansätze zur bibliometrischen Analyse wissenschaftlicher Publikationen am Beispiel der Biodiversitäts-Exploratorien
Gänßinger M. (2024): Ontologie- und Graphenbasierte Ansätze zur bibliometrischen Analyse wissenschaftlicher Publikationen am Beispiel der Biodiversitäts-Exploratorien. Master thesis, University Jena
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Berechnung und Visualisierung der Datenqualität von tabellarischen Daten im Datenmanagementsystem BEXIS2
Lamat M. (2022): Berechnung und Visualisierung der Datenqualität von tabellarischen Daten im Datenmanagementsystem BEXIS2. Bachelor thesis, University Jena
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Domänenwissensbasierte Visualisierung Empfehlungssystem
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More information:  doi.org
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Chamanara J., Gaikwad J., Gerlach R., Algergawy A., Ostrowski A., König-Ries B. (2021): BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data. Biodiversity Data Journal 9: e72901. doi: 10.3897/BDJ.9.e72901
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Die Verschmelzung von automatischer Bild- und Bildunterschrift-Analyse zur Bestimmung von Diagrammtypen in Biodiversitätstexten
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Jänicke S., Kaur P., Kuzmicki P., Schmidt J. (2020): Participatory Visualization Design as an Approach to Minimize the Gap between Research and Application. "Eurovis workshop VISGAP: - The Gap between Visualization Research and Visualization Software". doi: 10.2312/visgap.20201108
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Problematiken und Vorschläge für die Entwicklung eines unterstützenden Werkzeugs für die Visualisierung von Biodiversitätsdaten
Kaur P., Klan F., König-Ries B. (2018): Issues and Suggestions for the Development of Biodiversity Data Visualization Support Tool. EuroVis 2018, Brno, Czech Republic
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Visrepo: Ein zentraler und frei verfügbarer Datenspeicher als Wissensbasis für Visualisierungen
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Ostrowski A. (2017): Exploratorien zur funktionellen Biodiversitätsforschung –Ein DFG Schwerpunktprogramm. Landschaftspflege und Naturschutz in Thüringen 54 (2), 83-85
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Entwicklung eines allgemeingültigen Buchungssystems
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Erste Schritte zur Entwicklung eines Empfehlungssystems für Visualisierungen von Biodiversitätsdaten
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Chamanara J., Owonibi M., Algergawy A., Gerlach R. (2015): An Extensible Conceptual Model for Tabular Scientific Datasets. International Symposium on Challenges for Designing and Using Datasets. June 21-26 2015, Brussels, Belgium
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Entwicklung eines halbauto-matischen Systems zur Emp-fehlung von Visualisierungen für Biodiversitätsdaten
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Vorschlag eines Ablaufplans zur Prüfung der Datenqualität von Biodiversitätsdaten innerhalb eines Datenverwaltungssystems
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Verknüpfung von Datensätzen mit Ontologien mittels struktureller und semantischer Registrierung
Wilhelm H.(2009): Verknüpfung von Datensätzen mit Ontologien mittels struktureller und semantischer Registrierung. Thesis, Max-Planck-Institute for Biogeochemistry Jena
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Die Verwendung von Ontologien für die semantische Integration von Daten und Werkzeugen
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Central data management

Central Data Management BExIS
Friedrich-Schiller-University of Jena
Dept of Mathematics and Computer Science
Leutragraben 1, Jentower
07743 Jena

Prof. Dr. Birgitta König-Ries
Prof. Dr. Birgitta König-Ries
Friedrich-Schiller-Universität Jena
Project leader, core project Central Data Management
Andreas Ostrowski
Andreas Ostrowski
Friedrich-Schiller-Universität Jena
Data manager
Dr. Cornelia Fürstenau
Dr. Cornelia Fürstenau
Friedrich-Schiller-Universität Jena
Data curator
Eleonora Petzold
Eleonora Petzold
Friedrich-Schiller-Universität Jena
Research software developer
Franziska Zander
Franziska Zander
Friedrich-Schiller-Universität Jena
Research software developer
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