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        <identifier>oai:drops-oai.dagstuhl.de:18901</identifier>
        <datestamp>2024-03-06T11:02:55Z</datestamp>
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          <dc:title>Map Reproducibility in Geoscientific Publications: An Exploratory Study</dc:title>
          <dc:creator>Koukouraki, Eftychia</dc:creator>
          <dc:creator>Kray, Christian</dc:creator>
          <dc:subject>Reproducible Research</dc:subject>
          <dc:subject>Reproduction Assessment</dc:subject>
          <dc:subject>Map Making</dc:subject>
          <dc:subject>Cartography</dc:subject>
          <dc:description>Reproducibility is a core element of the scientific method. In the Geosciences, the insights derived from geodata are frequently communicated through maps, and the computational methods to create these maps vary in their ease of reproduction. In this paper, we present the results from a study where we tried to reproduce the maps included in geoscientific publications. Following a systematic approach, we collected 27 candidate papers and in four cases, we were able to successfully reproduce the maps they contained. We report on the approach we applied, the issues we encountered and the insights we gained while attempting to reproduce the maps. In addition, we provide an initial set of criteria to assess the success of a map reproduction attempt. We also propose some guidelines for improving map reproducibility in geoscientific publications. Our work sheds a light on the current state of map reproducibility in geoscientific papers and can benefit researchers interested in publishing maps in a more reproducible way.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Eftychia Koukouraki and Christian Kray</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.GIScience.2023.6</dc:identifier>
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          <dc:language>eng</dc:language>
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