gms | German Medical Science

62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

TG3: Initial data analysis

Meeting Abstract

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  • Carsten Oliver Schmidt - Universität Greifswald, Greifswald, Deutschland
  • Saskia le Cessie - Leiden University Medical Center, leiden, Niederlande
  • Werner Vach - Klinische Epidemiologie, Freiburg, Deutschland
  • Marianne Huebner - Michigan State University, Michigan State University, Vereinigte Staaten von Amerika

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 323

doi: 10.3205/17gmds056, urn:nbn:de:0183-17gmds0561

Veröffentlicht: 29. August 2017

© 2017 Schmidt et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

This talk introduces and discusses aims, elements, and outputs of initial data analyses (IDA) in the scientific research process. The key aim of IDA is to facilitate responsible and valid scientific analyses with a targeted data set. It therefore typically precedes research question driven statistical analyses. The most common form of IDA occurs as part of a single study with a clear research plan and a single data collection/entry process. IDA may also take place without reference to prespecified research question. Several data steps may be distinguished in the IDA process: (1) metadata setup to properly conduct all following IDA steps, (2) data cleaning to identify and correct data errors, (3) data screening to understanding data properties that may affect future analysis and interpretation, (4) initial data reporting to inform collaborators about results from the preceding steps, (5) refining and updating the analysis plan based on IDA findings and recommendations, and finally (6) the reporting of IDA in research papers. Discussion topics of the presentation relate to the required metadata, the scope of IDA activities (reporting vs. data manipulations), typical issues to be dealt with during the IDA process, and organizational aspects.