scholarly journals The LIS Blogosphere Contains Tags that Can Be Categorized and It Disseminates Professional Content

2010 ◽  
Vol 5 (1) ◽  
pp. 138
Author(s):  
Virginia Wilson
Keyword(s):  
Content Analysis ◽  
Online Education ◽  
Information Science ◽  
Qualitative Content Analysis ◽  
Science Research ◽  
Social Web ◽  
General Category ◽  
Professional Information ◽  
Information Scientist ◽  
Personal Interests

A Review of: Aharony, N. (2009). Librarians and information scientists in the blogosphere: An exploratory analysis. Library & Information Science Research, 31(3), 174-181. Objective – This study analyzes library and information studies (LIS) oriented blogs to determine the content, and looks at tags and folksonomies of these blogs to determine whether they form a consistent, coherent scheme or whether they are lacking in internal logic. Design – A qualitative content analysis of tags assigned to 30 LIS blogs. Setting – The research took place on the internet from May to July, 2008. Subjects – Thirty LIS blogs were examined, each of which was written by a librarian or an information scientist. Methods – The researcher reviewed 100 blogs that were found by browsing the Top 25 Librarian Bloggers as published by the Online Education Database in 2007 and by searching Technorati, one of the main search engines for blogs, using the term “library and information science.” Thirty blogs were chosen for analysis based on two criteria: the blog had to be written by a librarian or an information scientist, and the blog had to be active during the period studied (May-July, 2008). A content analysis was undertaken on the tags assigned to the 30 blogs by categorizing the tags that appeared as tag clouds (visual representations of user-generated tags in which the tags used more frequently are depicted in larger, bolder font) in Technorati. In order to validate the Technorati tags, the researcher’s coders read and analyzed all the blog posts over the given time period. The categorization consists of five major categories, each with several subcategories. The categories were developed using a clustering approach, with new categories coming into being when a tag did not fit into an already established category. Main Results – The tag categorization resulted in five broad categories, each with several sub-categories (a few of which are listed here): 1. General (Nouns, Disciplines, Place Names) 2. Library-related (Web 2.0, Librarians’ Activities, Catalogues) 3. Technology-related Products, Technology – Types, People) 4. Information-related (Access to Information, Information Sources) 5. Social web-related (Names of Blogs, Names of Social Networks) The tag analysis resulted in the following percentages of distribution: • 33.62% of the tags associated with LIS blogs were general in nature • 20.21% of the tags were technology-related • 19.12% of the tags were library-related • 14.60% of the tags were information-related • 12.90% of the tags were related to the social web These percentages add up to 100.45%. The author makes no mention of this oddity and it is assumed to be an error. The researcher attempted to determine if tags and folksonomies form a consistent scheme. In reporting her findings, she concluded that four major categories of professional-related content were revealed, which reflect the blogger-librarians’ fields of interest. The prominence of the general category revealed that bloggers’ personal interests and experiences were written about more often. As well, it appears that although bloggers seem to assign non-related tags randomly, the analysis shows that tags still can be categorized. Conclusion – The researcher concludes that this study is helpful for librarians and information scientists because it can help them to navigate the LIS blogosphere. She reports that the categories of tags beyond the general category, which mainly contains tags related to bloggers’ personal interests and experiences, shows that blogs can contribute to professional development. Although more informal in nature, the research has shown that LIS blogs do contain professional information, and it behooves professionals to become familiar with the tag scheme in topic oriented blogs, and to try to work within the scheme to make use of the content within. The researcher suggests further ideas for research, including the differences in LIS blogs written by a single blogger as compared with blogs written by multiple authors, as well as gender differences between male and female authored blogs. The author also suggests further research on multimedia blogs such as photoblogs, and audio and video blogs.

scholarly journals A Design Science Research Methodology for Expert Systems Development

2016 ◽  
Vol 20 ◽  
Author(s):  
Shah Jahan Miah ◽  
Hussein Genemo
Keyword(s):  
Content Analysis ◽  
Expert Systems ◽  
Research Methodology ◽  
Design Science ◽  
Qualitative Content Analysis ◽  
Systems Design ◽  
Science Research ◽  
Design Science Research ◽  
Wicked Problem ◽  
Problem Class

The knowledge of design science research (DSR) can have applications for improving expert systems (ES) development research. Although significant progress of utilising DSR has been observed in particular information systems design – such as decision support systems (DSS) studies – only rare attempts can be found in the ES design literature. Therefore, the aim of this study is to investigate the use of DSR for ES design. First, we explore the ES development literature to reveal the presence of DSR as a research methodology. For this, we select relevant literature criteria and apply a qualitative content analysis in order to generate themes inductively to match the DSR components. Second, utilising the findings of the comparison, we determine a new DSR approach for designing a specific ES that is guided by another result – the findings of a content analysis of examination scripts in Mathematics. The specific ES artefact for a case demonstration is designed for addressing the requirement of a ‘wicked’ problem in that the key purpose is to assist human assessors when evaluating multi-step question (MSQ) solutions. It is anticipated that the proposed design knowledge, in terms of both problem class and functions of ES artefacts, will help ES designers and researchers to address similar issues for designing information system solutions.

Ethics in information science

1979 ◽  
Vol 1 (5) ◽  
pp. 277-283 ◽  
Author(s):  
B.J. Kostrewski ◽  
Charles Oppenheim
Keyword(s):  
Information Science ◽  
Code Of Ethics ◽  
Science Research ◽  
Alphabetical Order ◽  
The Public ◽  
The Social ◽  
Bona Fide ◽  
Information Work ◽  
The Right ◽  
Information Scientist

Ethical questions in information science research, teach ing and practice are considered. It is recommended that supervisors of research make clear their publication policies before a piece of research is undertaken and if they don't wish to publish, then the junior author should have the right to write up the work. In any case, papers should be in alphabetical order of authors. Certain areas of research should possibly not be attempted because of their possible implications. Bias in teaching is considered. The following problems in information work are considered: the unauthor ised use of work facilities, the confidentiality of inquiries, bias in results presented and many aspects of the social responsibility of an information scientist. It is concluded that inquiries should always remain confidential, but that infor mation scientists should be willing to divulge non-confiden tial matter to bona fide third parties and should be prepared to reveal confidential matter if the public interest warrants it. No information scientist should be asked to present biased or misleading results. There is a need for a code of ethics for information scientists, and information scientists need to be far more aware of ethical questions.

scholarly journals A choir or cacophony? Sample sizes and quality of conveying participants’ voices in phenomenological research

2021 ◽  
Vol 14 (2) ◽  
pp. 205979912110400
Author(s):  
Theodore T Bartholomew ◽  
Eileen E Joy ◽  
Ellice Kang ◽  
Jill Brown
Keyword(s):  
Content Analysis ◽  
Qualitative Content Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Study Quality ◽  
Phenomenological Method ◽  
Mixed Methods Design ◽  
Method Evaluation ◽  
Sequential Mixed Methods

Misunderstandings about qualitative methods, whether phenomenological or otherwise, are prevalent in social science research. Such misunderstandings leave researchers, reviewers, and editors less equipped to conduct or evaluate this method. Evaluation of phenomenology is especially complicated given the different variants that exist and the need for flexibility within these studies. Methodologists have created guides for conducting specific variants of phenomenology; however, these do not provide clear guidance as to what is an adequate sample in phenomenology. The purpose of this systematic review was to help improve implementation of phenomenological methods by exploring sample issues as they relate to study quality. We implemented an explanatory sequential mixed methods design to test relationships between samples and studies’ quality then deepen our understanding of these findings with a focused content analysis. First, we reviewed and coded 200 manuscripts following the PRISMA method. Larger samples were associated with lower quality and studies aligned with a specific phenomenological method tended to be of higher quality. Second, we identified two cases from the studies reviewed and subjected them to deductive qualitative content analysis to identify features that demonstrate quality. Findings are discussed with respect to implications for phenomenological methods in social and health sciences.

Black articles matter: exploring relative deprivation and implicit bias in library and information science research publications of Africa and other continents

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tochukwu Victor Nwankwo ◽  
Rosemary Anwuli Odiachi ◽  
Ifeanyi A. Anene
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Relative Deprivation ◽  
Information Science ◽  
Implicit Bias ◽  
Science Research ◽  
Journal Ranking ◽  
Library And Information Science ◽  
Content Type ◽  
Research Publications

PurposeThe purpose of this paper is to explore relative deprivation and implicit bias in library and information science research publications of Africa and other continents.Design/methodology/approachResearch design used for this study is descriptive survey research. Specifically, the study will adopt both web content analysis and survey to collect data. The content analysis covers the whole continents of the world: Africa, Asia, Eastern Europe, Latin America, Middle East, Northern America, Pacific Region and Western Europe; using the Webometrics World Ranking of Universities and the SCImago/Scopus Journal Ranking. Library and information science was used as the search and control parameter. The scopes covered by the research are: 1. Ascertaining the visible publishing and assessment standards of top library and information science (LIS) journals, which was evaluated using Kleinert and Wager (2010)'s study.FindingsIt was found out among others that editors making fair and unbiased decisions as policy is seen in 33% of the journals, which is very poor. All the structural disparities, such as presence ranking, impact ranking, excellence ranking, etc. were favouring Europe and the Americas mainly. As much as rejection is getting to these respondents, research generally is also suffering by missing out on some untapped knowledge and ideas from these deprived populations. Many authors are losing faith in their capabilities and are now afraid of venturing into tedious research exercises because it will most likely be rejected either ways.Research limitations/implicationsIt is an established fact that social media gains research impact and attracts international collaborations. In support, studies such as Hassan et al. (2019) reported the fact that tweet mentions of articles with positive sentiment to more visibility and citations. They claim that cited articles in either positive or neutral tweets have a more significant impact than those not cited at all or cited in negative tweets. In addition, Hassan et al. (2020) equally highlighted tweet coupling as a social media methodology useful for clustering scientific publications. Despite the fact that social media have these influences on research and publications visibility and presence, the context of the present research did cover this scope of study. The study focused mainly on sources from Scopus as well as results from responses. Further studies can be carried out on this area.Originality/valueResearch studies linking “Black Articles Matter” to relative deprivation and implicit bias in research publications, especially in library and information discipline, are very rare. Also, the scope of approach of the study is quite different and interesting.

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