Hong Huang|Besiki Stvilia|Corinne Jörgensen|Hank W. Bass
Prioritization of data quality dimensions and skills requirements in genome annotation work
University of South Florida|Florida State University|Florida State University|Florida State University
abstract rapid accumulation genome annotations well widespread reuse clinical scientific practice poses new challenges management quality scientific data study contributes towards better understanding scientists perceptions priorities data quality data quality assurance skills needed genome annotation study guided previously developed general framework assessment data quality taxonomy dataquality dq skills intended define contextsensitive models criteria data quality skills genome annotation analysis results revealed genomics scientists recognize specific sets criteria quality genomeannotation context seventeen data quality dimensions reduced 5factor constructs 17 relevant skills grouped 4factor constructs constructs defined study advance understanding data quality relationships important contribution data information quality research addition resulting models serve valuable resources genome data curators administrators developing datacuration policies designing dqassurance strategies processes procedures infrastructure studys findings may also inform educators developing data quality assurance curricula training courses