@article {834,
	title = {Data Quality Measures and Data Cleansing for Research Information Systems-},
	journal = {Journal of Digital Information Management},
	volume = {16},
	year = {2018},
	month = {02/2018},
	pages = {21},
	type = {Research},
	chapter = {12},
	abstract = {<p>The collection, transfer and integration of research information into different research information systems can result in different data errors that can have a variety of negative effects on data quality. In order to detect errors at an early stage and treat them efficiently, it is necessary to determine the clean-up measures and the new techniques of data cleansing for quality improvement in research institutions. Thereby an adequate and reliable basis for decision-making using an RIS is provided, and confidence in a given dataset increased.</p>
},
	url = {http://dline.info/fpaper/jdim/v16i1/jdimv16i1_2.pdf},
	author = {Otmane Azeroual and Gunter Saake and Mohammad Abuosba}
}
@article {615,
	title = {Data Quality Measures and Data Cleansing for Research Information Systems},
	journal = {Journal of Digital Information Management},
	volume = {16},
	year = {2018},
	month = {02/2018},
	pages = {21},
	type = {Research},
	chapter = {12},
	url = {http://dline.info/fpaper/jdim/v16i1/jdimv16i1_2.pdf},
	author = {Otmane Azeroual and Gunter Saake and Mohammad Abuosba}
}
