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SHR Neuro Cancer Cardio Lipid Metab Microb

Scheible, R; Rusch, S; Maccari, ME; Seidel, MG; Ehl, S; Nieters, A; Kindle, G.
Json2Xlsx: Extraction and visualization of nested data in a sparse spreadsheet
SOFTW IMPACTS. 2023; 18: 100588 Doi: 10.1016/j.simpa.2023.100588
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Co-authors Med Uni Graz: Seidel Markus
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Abstract:: Data extraction, visualization and distribution is an important task in the daily work of a database management team. In the medical field requests are often made by researchers who use spreadsheet programs such as Excel. Thus, we developed a framework which allows us to extract database tables with 1:N relations in a sparse spreadsheet which prevents redundant information. The Framework is implemented in PHP using a JSON interface. Further, we offer connectors for a direct connection to a Postgres database.
Find related publications in this database (Keywords): Medical informatics; Information systems; Data visualization