TY - CHAP
T1 - Needs for an integration of specific data sources and items - first insights of a National survey within the German center for infection research
AU - Jakob, Carolin E.M.
AU - Stecher, Melanie
AU - Fuhrmann, Sandra
AU - Wingen-Heimann, Sebastian
AU - Heinen, Stephanie
AU - Anton, Gabriele
AU - Behnke, Michael
AU - Behrends, Uta
AU - Boeker, Martin
AU - Castell, Stefanie
AU - Demski, Hans
AU - Diefenbach, Maximilian
AU - Falgenhauer, Jane C.
AU - Fritzenwanker, Moritz
AU - Gastmeier, Petra
AU - Gerhard, Markus
AU - Glöckner, Stephan
AU - Golubovic, Mira
AU - Bartmeyer, Barbara Gunsenheimer
AU - Ingenerf, Josef
AU - Kaiser, Rolf
AU - Körner, Marie Luise
AU - Loag, Wibke
AU - Mchardy, Alice
AU - Molitor, Ernst
AU - Nübel, Ulrich
AU - Pritsch, Michael
AU - Ramharter, Michael
AU - Rieg, Sigbert R.
AU - Rupp, Jan
AU - Schindler, Daniela
AU - Schwudke, Dominik
AU - Spinner, Christoph
AU - Stottmeier, Benjamin
AU - Vehreschild, Maria
AU - Willmann, Matthias
AU - Vehreschild, Jörg J.
N1 - Publisher Copyright:
© 2021 The authors and IOS Press.
PY - 2021/6/22
Y1 - 2021/6/22
N2 - 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.
AB - 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.
KW - Data integration
KW - Infectious diseases
KW - Minimum data requirement
KW - Survey
UR - http://www.scopus.com/inward/record.url?scp=85107238626&partnerID=8YFLogxK
U2 - 10.3233/SHTI210075
DO - 10.3233/SHTI210075
M3 - Chapter
C2 - 34042900
AN - SCOPUS:85107238626
SN - 9781643681764
VL - 278
SP - 237
EP - 244
BT - German Medical Data Sciences
PB - IOS Press
ER -