Original article | published - printed | peer reviewed
Zufallsbefunde: Risikobewusstsein von Probandinnen und forschungsethische Konsequenzen
Computer Methods and Programs in Biomedicine
2013 ;
110(3):
369 - 379
Authors
Erdmann P
Affiliations
fis.beans.InstitutionBean@34794e17
Abstract
A Central Data Management (CDM) system based on Electronic Data Capture (EDC) software and study specific databases is an essential component for assessment and management of large data volumes in epidemiologic studies. Conventional CDM systems using web applications for data capture depend on permanent access to a network. However, in many study settings permanent network access cannot be guaranteed, e.g. when participants/patients are visited in their homes. In such cases a different concept for data capture is needed. The utilized EDC software must be able to ensure data capture as stand-alone instance and to synchronize captured data with the server at a later point in time. This article describes the design of the Mobile Information Capture (MInCa) system an EDC software meeting these requirements. In particular, we focus on client and server design, data synchronization, and data privacy as well as data security measures.
The MInCa software has already proven its efficiency in epidemiologic studies revealing strengths and weaknesses concerning both concept and practical application which will be addressed in this article.
Published in
Computer Methods and Programs in Biomedicine
| Year | 2013 |
| Impact Factor (2013) | 1.093 |
| Volume | 110 |
| Issue | 3 |
| Pages | 369 - 379 |
| Open Access | nein |
| Peer reviewed | ja |
| Article type | Original article |
| Article state | published - printed |
Common journal data
Short name: COMPUT METH PROG BIO
ISSN: 0169-2607
eISSN: 1872-7565
Country: NETHERLANDS
Language: English
Categories:
Impact factor trend
ISSN: 0169-2607
eISSN: 1872-7565
Country: NETHERLANDS
Language: English
Categories:
- ENGINEERING, BIOMEDICAL
- COMPUTER SCIENCE, THEORY & METHODS
- MEDICAL INFORMATICS
- COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Impact factor trend
| Year | Impact Factor |
|---|---|
| 2008 | 1.22 |
| 2009 | 1.144 |
| 2010 | 1.238 |
| 2011 | 1.516 |
| 2012 | 1.555 |
| 2013 | 1.093 |
| 2014 | 1.897 |
| 2015 | 1.862 |
| 2016 | 2.503 |
| 2017 | 2.674 |
| 2018 | 3.424 |
| 2019 | 3.632 |
| 2020 | 5.428 |
| 2021 | 7.027 |
| 2022 | 6.1 |
| 2023 | 4.9 |
| 2024 | 4.8 |

