<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Digitalization - Global Carbon Cycle | Biomedical Physics Group</title><link>https://www.bmp.ds.mpg.de/tags/digitalization-global-carbon-cycle/</link><atom:link href="https://www.bmp.ds.mpg.de/tags/digitalization-global-carbon-cycle/index.xml" rel="self" type="application/rss+xml"/><description>Digitalization - Global Carbon Cycle</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© Max-Planck Research Group Biomedical Physics, 2008–2026</copyright><lastBuildDate>Mon, 20 Sep 2021 00:00:00 +0000</lastBuildDate><image><url>https://www.bmp.ds.mpg.de/img/logo.embed.svg</url><title>Digitalization - Global Carbon Cycle</title><link>https://www.bmp.ds.mpg.de/tags/digitalization-global-carbon-cycle/</link></image><item><title>Digitalization - Global Carbon Cycle</title><link>https://www.bmp.ds.mpg.de/research/digitalization-global-carbon-cycle/</link><pubDate>Mon, 20 Sep 2021 00:00:00 +0000</pubDate><guid>https://www.bmp.ds.mpg.de/research/digitalization-global-carbon-cycle/</guid><description>
&lt;h2 id=&#34;project-information&#34;&gt;Project Information&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Project Title&lt;/strong&gt;: Global Carbon Cycling and Complex Molecular Patterns in Aquatic Systems: Integrated Analyses Powered by Semantic Data Management&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Project Duration&lt;/strong&gt;: 04/2021 – 12/2024&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Funding Agency&lt;/strong&gt;: Volkswagen Foundation&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Lead-PI&lt;/strong&gt;: &lt;a href=&#34;https://uol.de/en/icbm/marine-geochemistry/staff/prof-dr-thorsten-dittmar&#34; target=&#34;_blank&#34;&gt;Prof. Dr. Thorsten Dittmar&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;abstract&#34;&gt;Abstract&lt;/h2&gt;
&lt;p&gt;Over the past decade, a wealth of highly diverse molecular data regarding dissolved organic matter and marine microbes have been collected. To gain deeper insights into the global carbon cycle it is necessary to combine these very complex, heterogeneous data in the oceanographic context. The data must be cross-linked by extensively using digital tools like semantic data management and machine learning techniques. Our goal is to develop the digital infrastructure to provide analysis tools to integrate geochemical, microbial and environmental data for improving our understanding of biogeochemical cycles on the global scale. This is a joint project of the working groups of &lt;a href=&#34;https://uol.de/en/icbm/marine-geochemistry/staff/prof-dr-thorsten-dittmar&#34; target=&#34;_blank&#34;&gt;Dittmar&lt;/a&gt;, &lt;a href=&#34;https://uol.de/icbm/komplsyst&#34; target=&#34;_blank&#34;&gt;Feudel&lt;/a&gt;, &lt;a href=&#34;https://uol.de/en/icbm/mathematical-modelling&#34; target=&#34;_blank&#34;&gt;Blasius&lt;/a&gt; at the University of Oldenburg and the Research Group Biomedical Physics at the Max Planck Institute for Dynamics and Self-Organization, Göttingen.&lt;/p&gt;
&lt;p&gt;The emphasis in this project lies on the synthesis of different datasets, whose potential has previously not been fully exploited due to the lack of a data management system that effectively integrates different data types of molecular DOM, microbial and environmental data from major ocean basins. The interdisciplinary research project combines expertise in biogeochemistry, data analysis, and mathematical modelling with the research data management system &lt;a href=&#34;../../software/caosdb&#34;&gt;CaosDB&lt;/a&gt; to integrate complex biogeochemical data sets in an oceanographic context.&lt;/p&gt;
&lt;h2 id=&#34;more-resources&#34;&gt;More resources&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;CaosDB page &lt;a href=&#34;../../software/caosdb&#34;&gt;on this website&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>