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Title: Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS
Authors: Azeroual, Otmane 
Schöpfel, Joachim 
Ivanović, Dragan 
Nikiforova, Anastasija 
Keywords: research information management;data quality;data curation;data management
Issue Date: 13-May-2022
Publisher: euroCRIS
Source: Procedia Computer Science 211: 3-16 (2022)
Series/Report no.: CRIS2022: 15th International Conference on Current Research Information Systems (Dubrovnik, Croatia, May 12-14, 2022)
Conference: CRIS2022 – Dubrovnik 
Today, 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.
Extended abstract presented at the CRIS2022 conference in Dubrovnik.-- Event programme available at

24 slides.-- Presentation delivered within the session "Research information management and ethical issues"
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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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