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dc.contributor.authorAzeroual, Otmaneen_US
dc.contributor.authorSchöpfel, Joachimen_US
dc.contributor.authorIvanović, Draganen_US
dc.contributor.authorNikiforova, Anastasijaen_US
dc.descriptionExtended abstract presented at the CRIS2022 conference in Dubrovnik.-- Event programme available at
dc.description24 slides.-- Presentation delivered within the session "Research information management and ethical issues"-
dc.description.abstractToday, researchers should be able to integrate ever-increasing amounts of data into their institutional database, such as Current Research Information Systems (CRIS), regardless of the source, format or size of research information. An effective mechanism should then be employed to ensure faster value creation from data of these organizations, respecting this increasing variety of data, i.e. heterogeneous data. The processing of electronic data plays a central role in modern society. Data in general is an elementary component of operational processes in companies and scientific organizations. They also form the basis for decisions. Poor quality research information may have a negative effect on results and decisions. The quality of research information or trustworthy and reliability of data are crucial. This includes the topic of data lake and data wrangling.en_US
dc.relation.ispartofseriesCRIS2022: 15th International Conference on Current Research Information Systems (Dubrovnik, Croatia, May 12-14, 2022)-
dc.subjectresearch information managementen_US
dc.subjectdata qualityen_US
dc.subjectdata curationen_US
dc.subjectdata managementen_US
dc.titleCombining Data Lake and Data Wrangling for Ensuring Data Quality in CRISen_US
dc.typeConference Proceedingen_US
dc.relation.conferenceCRIS2022 – Dubrovniken_US
item.openairetypeConference Proceeding-
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Azeroual_at_al_CRIS2022_Combining-Data-Lake.pdfExtended abstract (PDF)185.19 kBAdobe PDF
Nikiforova-Azeroual_slides_CRIS2022_Combining-Data-Lake.pdfPDF presentation2.63 MBAdobe PDF
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