Markus Stocker is Head of the Knowledge Infrastructures Research Group at the German National Library of Science and Technology (TIB). He holds a PhD in Environmental Informatics from the University of Eastern Finland; a MSc in Environmental Science from the University of Eastern Finland; and a Diploma (MSc) in Informatics from the University of Zurich, Switzerland. His research interests lie at the intersection between research infrastructures and research communities, and how such infrastructures acquire, maintain, and share scientific knowledge about human and natural worlds. Prior to TIB, Markus held a postdoctoral research associate position at PANGAEA, the Data Publisher for Earth & Environmental Science, at the MARUM Center for Marine Environmental Sciences, University of Bremen, Germany. He continues to be affiliated with MARUM. As a member of the Research Data Alliance (RDA), Markus is involved in various groups, in particular the WG Persistent Identification of Instruments and the IG From Observational Data to Information. Markus has several years of professional experience in software development and semantic technologies, with positions at Hewlett Packard Labs, Bristol, UK and Clark & Parsia, Washington DC, USA. He enjoys working together with scientists and has experiences with aerosol scientists, biogeochemists, and agricultural scientists. He collaborates with environmental research infrastructures, in particular ACTRIS (European Research Infrastructure for the observation of Aerosol, Clouds, and Trace gases), ICOS (European Integrated Carbon Observation System) and NEON (US National Ecological Observatory Network).
Data science Geo-Information Science and Earth Observation Information and Computing Sciences Information Systems Knowledge Infrastructures Knowledge Representation and Machine Learning Physical Sciences Research Infrastructures Scholarly Communication Sensor networks
Editorial Board Memberships
Markus is not currently contributing as an editor for any journal or publisher.
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Reviews (last 12 months)
Reviews (average per year)
Journal Impact Factors of journals reviewed for
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Total reviews over time
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Reviews per month
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