EGU2020-11084
https://doi.org/10.5194/egusphere-egu2020-11084
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Significance and implementation of SMART Monitoring Tools

Uta Koedel1, Peter Dietrich1, Erik Nixdorf1, and Philipp Fischer2
Uta Koedel et al.
  • 1UFZ- Helmholtz Centre for Environmental Research, Monitoring-and Exploration Technologies, Leipzig, Germany (uta.koedel@ufz.de)
  • 2Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)

The term “SMART Monitoring” is often used in digital projects to survey and analyze data flows in near- or realtime. The term is also adopted in the project Digital Earth (DE) which was jointly launched in 2018 by the eight Helmholtz centers of the research field Earth and Environment (E&E) within the framework of the German Ministry of Education and Research (BMBF). Within DE, the “SMART monitoring” sub-project aims at developing workflows and processes to make scientific parameters and the related datasets SMART, which means specific, measurable, accepted, relevant, and trackable (SMART).

“SMART Monitoring” in DE comprises a combination of hard- and software tools to enhance the traditional sequential monitoring approach - where data are step-by-step analyzed and processed from the sensor towards a repository - into an integrated analysis approach where information on the measured value together with the status of each sensor and possible auxiliary relevant sensor data in a sensor network are available and used in real-time to enhance the sensor output concerning data accuracy,  precision, and data availability. Thus, SMART Monitoring could be defined as a computer-enhanced monitoring network with automatic data flow control from individual sensors in a sensor network to databases enhanced by automated (machine learning) and near real-time interactive data analyses/exploration using the full potential of all available sensors within the network. Besides, “SMART monitoring” aims to help for a better adjustment of sensor settings and monitoring strategies in time and space in iterative feedback.

This poster presentation will show general concepts, workflows, and possible visualization tools based on examples that support the SMART Monitoring idea.

How to cite: Koedel, U., Dietrich, P., Nixdorf, E., and Fischer, P.: Significance and implementation of SMART Monitoring Tools, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11084, https://doi.org/10.5194/egusphere-egu2020-11084, 2020.

Display materials

Display file

Comments on the display material

AC: Author Comment | CC: Community Comment | Report abuse

Display material version 2 – uploaded on 05 May 2020
Licence Icon included
  • CC1: FAIR+, Daniel Heydebreck, 06 May 2020

    You highlighted the need for including quality information in metadata in your display => "FAIR+".

    We currently develop an extension to the DataCite Metadata Schema to include "Data Maturity Information". Thus, maturity information could be included into the metadata of DataCite DOIs. This maturity information might be results of quality checks or FAIRness checks, for example. It is generic in the sense that the exact checks performed have to be externally defined.

    If this concept would fit your needs for "FAIR+", you are welcome to have a look at the draft and provide some feedback. We plan to have a webinar on the concept in the next months.

    Darft of the Data Maturity Indicator on GitHub: https://github.com/AtMoDat/data-maturity-indicator

    • AC1: Reply to CC1, Uta Koedel, 06 May 2020

      Dear Daniel, yes of course I am interested in your concept and joining your discussions. Please keep me informed via email. Uta

Display material version 1 – uploaded on 05 May 2020, no comments