LEADER 02240 am 22004093u 450 001 9910372783303321 005 20200305 010 $a3-95466-374-0 024 7 $a10.32745/9783954663743 035 $a(CKB)4340000000262358 035 $a(OAPEN)1007815 035 $a(ScCtBLL)f89db746-2628-4e0d-9fc5-012661facdd5 035 $a(EXLCZ)994340000000262358 100 $a20200305d|||| uy 101 0 $ager 135 $auuuuu---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDatenqualität in der medizinischen Forschung$b[electronic resource] 210 $aBerlin$cMWV Medizinisch Wissenschaftliche Verlagsgeschellschaft$d2014 215 $a1 online resource (244) 225 1 $aSchriftenreihe der TMF - Technologie- und Methodenplattform fu?r die vernetzte medizinische Forschung e.V., Bd. 4 311 $a3-95466-121-7 330 $aThe benefit of cohort studies and registers in patient-oriented collaborative research depends largely on the quality of the data recorded there. Supply and quality research depend on scientifically proven methods and procedures to ensure high data quality. This guideline contains corresponding recommendations for the management of data quality in registers, cohort studies and data repositories. In the second edition, a significantly expanded set of indicators is provided and the use of the indicators is described as an example for different types of empirical research projects. The guideline is rounded off by a current literature review and analysis. It is therefore an important part of the range of measures to improve and ensure data quality in medical research. 410 $aSchriftenreihe der TMF - Technologie- und Methodenplattform fu?r die vernetzte medizinische Forschung e.V., Bd. 4 606 $aEpidemiology & medical statistics$2bicssc 615 7$aEpidemiology & medical statistics 700 $aNonnemacher$b Michael$4aut$0944491 702 $aNasseh$b Daniel$4aut 702 $aStausberg$b Jürgen$4aut 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910372783303321 996 $aDatenqualität in der medizinischen Forschung$92132092 997 $aUNINA LEADER 01650nas 2200505- 450 001 9910133755303321 005 20241223110753.0 011 $a2198-6053 035 $a(OCoLC)905958801 035 $a(CKB)3350000000000805 035 $a(CONSER)--2017268563 035 $a(MiFhGG)02P6 035 $a(MiAaPQ)2044308 035 $a(DE-599)ZDB2834740-7 035 $a(EXLCZ)993350000000000805 100 $a20150303a20159999 --- a 101 0 $aeng 135 $aurmnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComplex & intelligent systems 210 1$aHeidelberg :$cSpringer,$d2015- 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 08$a2199-4536 517 1 $aComplex and intelligent systems 531 0 $aComplex intell. systems 606 $aComputational complexity$vPeriodicals 606 $aSystems engineering$vPeriodicals 606 $aBiological systems$xComputer simulation$vPeriodicals 606 $aComputational complexity$2fast$3(OCoLC)fst00871991 606 $aBiological systems$xComputer simulation$2fast$3(OCoLC)fst00832337 606 $aSystems engineering$2fast$3(OCoLC)fst01141455 608 $aPeriodicals.$2fast 615 0$aComputational complexity 615 0$aSystems engineering 615 0$aBiological systems$xComputer simulation 615 7$aComputational complexity. 615 7$aBiological systems$xComputer simulation. 615 7$aSystems engineering. 906 $aJOURNAL 912 $a9910133755303321 996 $aComplex & intelligent systems$92294725 997 $aUNINA