Search the repository

A+ | A- | | SLO | ENG

Abstract: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work.
Keywords: data quality assessment, open government datasets, e-governance, data quality measures
Published in RUNG: 05.04.2021; Views: 1539; Downloads: 0
This document has many files! More...

Keywords: counterculture, data freedom, open culture, hacktivism, privacy, democracy, education, artistic practice
Published in RUNG: 25.11.2020; Views: 2210; Downloads: 21
Link to full text

Keywords: Open sets, axiom A, flows, exponentially mixing, attractors
Published in RUNG: 26.10.2018; Views: 2526; Downloads: 0
This document has many files! More...

Abstract: Baptism at the Savica, an epic about the loss of Slovenian independence, can also be understood as a successful attempt by France Prešeren to outwit censors and use the form of a historic tale as a metaphor for expressing the content which, due to censorship, had to be omitted from his elegy Dem Andenken des Matthias Čop. Such an approach can help us resolve several apparent contradictions, shown in the interpretative history of the Baptism, such as the problem of Prešeren’s own characterisation of the poem in his letter to Čelakovský, or the question of Črtomir’s conversion at the end of the third part of this epic poem.In the 20th century, several interpretations came into being that understood Črtomir’s conversion to Christianity as an inevitable choice made by Slovenians in favour of a stronger, uniquely prospective Western culture circle, which serves as justification for Črtomir’s renunciation of freedom-loving Slovenianhood. According to the new understanding of The Baptism at the Savica, there are two Črtomirs, one is the hero and the other is the defeated one (the former, as he himself would like to be, is only an illusion by Prešeren, and the latter, as he indeed is, is the one with whom the poet completely identifies himself), and the final message of the epic poem is understood as a condemnation of national inequality.
Keywords: Prešeren, Baptism at the Savica, open work, censorship, interpretation, national inequality
Published in RUNG: 31.03.2016; Views: 4197; Downloads: 294
Full text (191,44 KB)