3,275,254 research outputs found
Channels of published research communication used by Malaysian authors in computer science and information technology
Analyse 389 records retrieved from Inspec (1990-1999), Compendex (1987-1999) and IEL (IEE/IEEE Electronic library)(1987-1999). The records comprised 159 journal articles, 229 conference papers and 1 monograph chapter. The subject coverage was computer science and information technology. The yearly output of Malaysian publications indicated a gentle upward trend. The highest contributions was 87 published in 1997. The channels used to publish differ slightly from the norm for scientists. Conference papers were preferred to journal articles. The spread of conference papers used to publish indicate three zonal distributions; the nucleus, moderate and low productivity in the ratio of 19 : 41 : 88, leading to a clustering index of 2.15. This shows that Malaysian conference contributions were concentrated in a few proceedings. No clear core journals can be identified for the journal articles and contributions were distributed in a wide variety of journal titles. Malaysian Journal of Computer Science published the highest number of journal articles. More than 83 of the articles were published in journals from the UK, USA, the Netherlands and Malaysia
Theoretical overlaps between communication, information management and knowledge management in Information Science
Conceptual relationships amongst information communication, information management and knowledge management are discussed, with the aim of presenting a theoretical framework of these topics within the scope of information science. The discussion resulted from both the analysis of the literature and authors’ reflexions upon readings and previous research works. Therefore, the article discusses epistemological aspects of information science as regard these issues. In this context, the interdisciplinary focus of the discussion allows approaching seminal authors from both information science and communication science, as well as authors from information and knowledge management. Throughout the discussion, models that illustrate approaches from the most relevant authors and researchers’ theoretical constructions that show crucial conceptual relationships amongst the topics covered are presented. It is concluded that an approach which takes into account these relationships should be privileged in information science. It requires, in turn, the adoption of an associated approach of communication and management in different contexts. That is, communication and management studies in information science should take into account their conceptual overlaps, in the extent to which these are concepts whose approaches tend to be strongly associated in the area
A Collaborative Approach to Computational Reproducibility
Although a standard in natural science, reproducibility has been only
episodically applied in experimental computer science. Scientific papers often
present a large number of tables, plots and pictures that summarize the
obtained results, but then loosely describe the steps taken to derive them. Not
only can the methods and the implementation be complex, but also their
configuration may require setting many parameters and/or depend on particular
system configurations. While many researchers recognize the importance of
reproducibility, the challenge of making it happen often outweigh the benefits.
Fortunately, a plethora of reproducibility solutions have been recently
designed and implemented by the community. In particular, packaging tools
(e.g., ReproZip) and virtualization tools (e.g., Docker) are promising
solutions towards facilitating reproducibility for both authors and reviewers.
To address the incentive problem, we have implemented a new publication model
for the Reproducibility Section of Information Systems Journal. In this
section, authors submit a reproducibility paper that explains in detail the
computational assets from a previous published manuscript in Information
Systems
Costly Collaborations: The Impact of Scientific Fraud on Co-authors' Careers
Over the last few years, several major scientific fraud cases have shocked
the scientific community. The number of retractions each year has also
increased tremendously, especially in the biomedical field, and scientific
misconduct accounts for approximately more than half of those retractions. It
is assumed that co-authors of retracted papers are affected by their
colleagues' misconduct, and the aim of this study is to provide empirical
evidence of the effect of retractions in biomedical research on co-authors'
research careers. Using data from the Web of Science (WOS), we measured the
productivity, impact and collaboration of 1,123 co-authors of 293 retracted
articles for a period of five years before and after the retraction. We found
clear evidence that collaborators do suffer consequences of their colleagues'
misconduct, and that a retraction for fraud has higher consequences than a
retraction for error. Our results also suggest that the extent of these
consequences is closely linked with the ranking of co-authors on the retracted
paper, being felt most strongly by first authors, followed by the last authors,
while the impact is less important for middle authors.Comment: Accepted for publication in the Journal of the Association for
Information Science and Technolog
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Text and Graph Based Approach for Analyzing Patterns of Research Collaboration: An analysis of the TrueImpactDataset
Patterns of scientific collaboration and their effect on scientific production have been the subject of many studies. In this paper, we analyze the nature of ties between co-authors and study collaboration patterns in science from the perspective of semantic similarity of authors who wrote a paper together and the strength of ties between these authors (i.e. how frequently have they previously collaborated together). These two views of scientific collaboration are used to analyze publications in the TrueImpactDataset (Herrmannova et al., 2017) (Herrmannova et al., 2017), a new dataset containing two types of publications – publications regarded as seminal and publications regarded as literature reviews by field experts. We show there are distinct differences between seminal publications and literature reviews in terms of author similarity and the strength of ties between their authors. In particular, we find that seminal publications tend to be written by authors who have previously worked on dissimilar problems (i.e. authors from different fields or even disciplines), and by authors who are not frequent collaborators. On the other hand, literature reviews in our dataset tend to be the result of an established collaboration within a discipline. This demonstrates that our method provides meaningful information about potential future impacts of a publication which does not require citation information
Recommended from our members
Research Collaboration Analysis Using Text and Graph Features
Patterns of scientific collaboration and their effect on scientific production have been the subject of many studies. In this paper we analyze the nature of ties between co-authors and study collaboration patterns in science from the perspective of semantic similarity of authors who wrote a paper together and the strength of ties between these authors (i.e. how much have they previously collaborated together). These two views of scientific collaboration are used to analyze publications in the TrueImpactDataset [11], a new dataset containing two types of publications - publications regarded as seminal and publications regarded as literature reviews by field experts. We show there are distinct differences between seminal publications and literature reviews in terms of author similarity and the strength of ties between their authors. In particular, we find that seminal publications tend to be written by authors who have previously worked on dissimilar problems (i.e. authors from different fields or even disciplines), and by authors who are not frequent collaborators. On the other hand, literature reviews in our dataset tend to be the result of an established collaboration within a discipline. This demonstrates that our method provides meaningful information about potential future impacts of a publication which does not require citation information
Theoretical overlaps between communication, information management and knowledge management in Information Science
Conceptual relationships amongst information communication, information management and knowledge management are discussed, with the aim of presenting a theoretical framework of these topics within the scope of information science. The discussion resulted from both the analysis of the literature and authors’ reflexions upon readings and previous research works. Therefore, the article discusses epistemological aspects of information science as regard these issues. In this context, the interdisciplinary focus of the discussion allows approaching seminal authors from both information science and communication science, as well as authors from information and knowledge management. Throughout the discussion, models that illustrate approaches from the most relevant authors and researchers’ theoretical constructions that show crucial conceptual relationships amongst the topics covered are presented. It is concluded that an approach which takes into account these relationships should be privileged in information science. It requires, in turn, the adoption of an associated approach of communication and management in different contexts. That is, communication and management studies in information science should take into account their conceptual overlaps, in the extent to which these are concepts whose approaches tend to be strongly associated in the area
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