2021Konferenzveröffentlichung
Needs for an Integration of Specific Data Sources and Items – First Insights of a National Survey Within the German Center for Infection Research
Jakob, Carolin E.M.
Stecher, Melanie
Fuhrmann, Sandra
Wingen-Heimann, Sebastian
Heinen, Stephanie
Anton, Gabriele
Behnke, Michael
Behrends, Uta
Boeker, Martin
Castell, Stefanie
Demski, Hans
Diefenbach, Maximilian
Falgenhauer, Jane C.
Fritzenwanker, Moritz
Gastmeier, Petra
Gerhard, Markus
Glöckner, Stephan
Golubovic, Mira
Gunsenheimer-Bartmeyer, Barbara
Ingenerf, Josef
Kaiser, Rolf
Körner, Marie-Luise
Loag, Wibke
McHardy, Alice
Molitor, Ernst
Nübel, Ulrich
Pritsch, Michael
Ramharter, Michael
Rieg, Sigbert R.
Rupp, Jan
Schindler, Daniela
Schwudke, Dominik
Spinner, Christoph
Stottmeier, Benjamin
Vehreschild, Maria
Willmann, Matthias
Vehreschild, Jörg J.
State-subsidized programs develop medical data integration centers in Germany. To get infection disease (ID) researchers involved in the process of data sharing, common interests and minimum data requirements were prioritized. In 06/2019 we have initiated the German Infectious Disease Data Exchange (iDEx) project. We have developed and performed an online survey to determine prioritization of requests for data integration and exchange in ID research. The survey was designed with three sub-surveys, including a ranking of 15 data categories and 184 specific data items and a query of available 51 data collecting systems. A total of 84 researchers from 17 fields of ID research participated in the survey (predominant research fields: gastrointestinal infections n=11, healthcare-associated and antibiotic-resistant infections n=10, hepatitis n=10). 48% (40/84) of participants had experience as medical doctor. The three top ranked data categories were microbiology and parasitology, experimental data, and medication (53%, 52%, and 47% of maximal points, respectively). The most relevant data items for these categories were bloodstream infections, availability of biomaterial, and medication (88%, 87%, and 94% of maximal points, respectively). The ranking of requests of data integration and exchange is diverse and depends on the chosen measure. However, there is need to promote discipline-related digitalization and data exchange.