Cataloging Ebooks and Vendor Records

Cataloging Ebooks and Vendor Records Cataloging E-books and Vendor Records Martin, E.K., & Mundle Kavita. (2010). Notes on operations cataloging E-books and vendor records: A case study at the University of Illinois at Chicago. Library Resources & Technical Services, 54 (4):227-237. Martin & Mundle assert that e-books have increasingly become a vital portion of scores of academic library collections. Catalog records on the other hand are essential as they promote discovery of e-books. However, cataloging individual e-books entails an intricate activity particularly when huge packages are bought (Martin & Mundle, 2010).

In this regard, most libraries depend on external sources for e-book catalog records. Such sources come from services of third-party record or from vendors. According to Martin & Mundle (2010), most libraries opt to handle records in batch as a means of offering access to huge sets. Notwithstanding the practicability of using records in batch, there are several challenges linked to this method of cataloging e-books.

Through a case study approach with qualitative analysis, the article investigates the problems of controlling MARC (Machine-Readable Cataloging) records for University of Illinois's Springer e-book collection. Besides challenges in management of MARC, the authors highlight the methods and tools needed to enhance quality of record in consortial setting operation (Martin & Mundle, 2010). More so, the article underscores the constant challenges faced while handling vendor records besides providing key steps that are essential in expediting the procedure of cataloging vendor records.

The authors underlined various issues encountered while cataloging e-books and vendor records. The issues are highlighted in three major categories which include load issues, access issues and record-quality issues. Critical Analysis The Research Problem The introductory part of the article synthesizes literature from the previous studies. This activity helped the researchers in coming up with logical and relevant research topic. A considerable number of articles, journals, library databases besides situation standards have been used in the search for the research topic.

The authors consulted an extensive body of literature that helped them in ascertaining the gaps in literature. The research problem is well defined and sufficiently rooted to the existing literature. The objective of the research which was to explore the challenges of controlling Machine-Readable Cataloging is well stated in the introductory section (Martin & Mundle, 2010). The reader is introduced to the research problem in the introductory part of the article. The authors confirm that most libraries continue to raise acquisition of e-books.

They cited a survey carried out on 552 libraries around the world. The survey indicated that 88% of participants subscribed or owned e-books. Forty five percent of the libraries surveyed indicated that they offered access to over 10,000 e-books (Martin & Mundle, 2010). In this view, putting together records for e-books into catalog is a crucial aspect that aids facilitation of access and retrieval of the developing resources set. Since vendors started providing MARC records for collections of e-books as part of subscription contracts, most libraries add them to their catalogs through batch loads.

This undemanding procedure has introduced new challenges for catalogers with regard to load itself, consortial record sharing, access issues and more importantly completeness and quality of the content of record. However, to handle the challenges facing catalogers while cataloging e-books, batch vendors records is an convenient solution for those libraries wishing to offer timely catalog admittance to e-book collections (Martin & Mundle, 2010). Notably, University of Illinois at Chicago embraced batch loading vendor-supplied MARC records for different e-books collections in its UICCAT catalog (Martin & Mundle, 2010).

The University had from 2006 loaded over 250, 000 vendor-supplied e-book records in its library catalog. This created a lot of challenges given the different quality of various record sets of vendors. Based on literature review, the research problem is well defined and sufficiently founded on the available literature relating to UIC library catalog department and other sources. However, there are no stated research questions and hypotheses. Research Methodology Research methodology is a noteworthy fraction of research since it describes the progress processes of any research study.

Research methodology determines the success of research because valid and reliable results extensively depend on the methodology used. This section entails all the instruments and apparatus employed by researchers in order to perform a successful research (Martin & Mundle, 2010). Nevertheless, the methodical means of dealing with research problems greatly depends on the research problem. With respect to the article subject to analysis, the authors employed a case study approach with qualitative analysis. A case study is an in-depth investigation of a given issue in the real-life context.

It does not rely on available statistics but rather on detailed evaluation of a given phenomenon (Christensen & Turner, 2010). Evidently, the research design has no live study sample neither does it contain any primary data collection methods or procedures. As a result, the authors used secondary data collection procedure which entails getting data which have already been gathered by others people as well as data from the library records.

The information contained in the article is sourced from external sources which include books, journals and other databases related cataloging e-books and vendor's records. With this type of research, information is collected and analyzed from reliable sources. However, it sometimes becomes hard to ascertain the credibility of secondary data especially when incredible resources are used. For this reason the results from such research methods where the findings are derived from previous studies and available literature may not be that accurate especially when primary data is not involved.

The authors did not include any research question because of lack of live study sample. They included the case study of Illinois University as the study population and sample. Additionally, there is no statistical data analysis procedure employed in this article. This is because statistic analysis of data extensively depends on the main objects of data collection as well the methods employed while collecting data. Data analysis is also subject to sample structure which is a key factor as far as data examination is concerned.

This is because it helps in establishing the most suitable analysis as well as determines the implications of the research study. Data analysis procedure is the processes through which researchers, clean, inspect, shape and transform the collected data with the main aim of underlining the most valuable information (Christensen & Turner, 2010). More so, data analysis helps in suggesting research conclusion, implications as well as promotes decision-making. However, data analysis is the most intricate and enigmatic of all stages of a research (Christensen & Turner, 2010).

To help in formulating findings that assist in transforming raw data into a new body of knowledge, Martin and associate involved demanding and active analytic procedures throughout all the research stages. In this regard, inductive reasoning data analysis was used given that it helps in interpreting the meaning of the collected data. Martin and associate employed inductive reasoning which utilizes the collected data to formulate ideas in the sense that it is hypothesis generating as opposed to deductive reasoning that is hypothesis testing. This.