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</html><description>[vc_row el_class="oeg-kbentry"][vc_column width="2/5" el_class="oeg-kbentry-sidebar-box"][vc_widget_sidebar sidebar_id="knowledgebasesidebaropendataen" el_class="oeg-kbentry-sidebar"][/vc_column][vc_column width="3/5" el_class="oeg-kbentry-content-box"][vc_column_text el_class="oeg-kbentry-content-title"] [/vc_column_text][vc_column_text css="" el_class="oeg-kbentry-content"]The aim of reproducible data analysis is to document and communicate the analysis in such a way that other researchers can easily understand the procedure and know how to replicate the results. Ultimately, the following questions must be answered: How can I access the data? Where can I find the code? How do I successfully execute the code? Even small steps can help in achieving this. They also reduce the workload for the initial evaluator and bring benefits for them. In addition, there are journals that apply a data [&hellip;]</description><thumbnail_url>https://openeconomics.zbw.eu/wp-content/uploads/1924/05/IG-Reproducibility-Science-3-scaled.png</thumbnail_url><thumbnail_width>1620</thumbnail_width><thumbnail_height>2560</thumbnail_height></oembed>
