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This paper aims to determine to what extent the scientific production and research activities of a group of National Autonomous University of Mexico (UNAM) research institutes in the sciences, social sciences and humanities are visible on the internet with a view to identifying areas where web presence is not optimal so improvements can be made.

The authors do this by analysing the relevant information on their web sites and by comparing institutional listings of scientific production between 2005 and 2006, with papers reported in the international, multidisciplinary online services of the Web of Science and Scopus, as well as in Clase and Periódica which cover production in Latin American journals.

Results indicate general poor visibility of research activities and production in the institutional web sites with only limited access to full text articles. Web sites of the institutes in the sciences score better than those in the humanities and social sciences where book publication is an important research output. The official publication lists in the form of annual reports were found not to accurately represent production with additional papers attributed to the different institutions appearing in commercial databases. It is suggested that more effort should be directed towards improving the information content and access to research data on these institutional web sites, possibly through linkage to an UNAM repository.

This is the first study to critically examine the visibility of research on Mexican academic web sites for which a series of indicators related to the different categories of research information which would ideally be found on institutional pages were developed.

The aim of this paper is to look at the relationship between research in Iranian medical universities, together with their Web Impact Factor (WIF).

The Altavista search engine was chosen because of its advanced search facilities for counting links and having a wider scope of academic web sites than other search engines. It was searched for determining the number of pages, in‐links and self‐links of 42 web sites of Iranian medical universities. The Web Impact Factor (WIF) was calculated by two formulas and the relationship between the two grades of universities (WIF and ISI) was calculated by using the Spearman's correlation coefficient.

Tehran, Iran and Gilan medical universities had the first to third grade in the number of web sites' pages. The number of in‐links to Tehran, Isfahan and Tabriz medical universities was more than the others. The WIF of universities' web sites was counted in four groups with regard to their number of web pages and Kerman, Kermanshah, Fasa and Qom had the highest grades of WIF in each group, but there was no meaningful relationship between WIF grades and ISI grades. Also, the WIF of university web sites was counted with regard to the number of their members in the four groups and the result shows that Hormozgan, Shiraz, Isfahan and Tehran had the highest grade in each group. Again, there was no meaningful relation between WIF grades and ISI grades.

It seems that counting the number of in‐links is a better scale for ranking university web sites than WIF. WIF is proposed only in situations where the number of web pages is about equal.

The paper provides rankings, for the first time, of Iranian medical university web sites with regard to WIF based on the number of the web pages as well as on the number of the academic staff. The research shows a methodology that others can follow.

Data science is a relatively new field which has gained considerable attention in recent years. This new field requires a wide range of knowledge and skills from different disciplines including mathematics and statistics, computer science and information science. The purpose of this paper is to present the results of the study that explored the field of data science from the library and information science (LIS) perspective.

Analysis of research publications on data science was made on the basis of papers published in the Web of Science database. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, authors of publications, affiliations of the article authors and the most cited articles related to data science in the field of LIS? What are the main themes discussed in the publications from the LIS perspective?

The highest contribution to data science comes from the computer science research community. The contribution of information science and library science community is quite small. However, there has been continuous increase in articles from the year 2015. The main document types are journal articles, followed by conference proceedings and editorial material. The top three journals that publish data science papers from the LIS perspective are the Journal of the American Medical Informatics Association, the International Journal of Information Management and the Journal of the Association for Information Science and Technology. The top five countries publishing are USA, China, England, Australia and India. The most cited article has got 112 citations. The analysis revealed that the data science field is quite interdisciplinary by nature. In addition to the field of LIS the papers belonged to several other research areas. The reviewed articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences.

The limitations of this research are that this study only analyzed research papers in the Web of Science database and therefore only covers a certain amount of scientific papers published in the field of LIS. In addition, only publications with the term “data science” in the topic area of the Web of Science database were analyzed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords such as “e-science,” “e-research,” “data service,” “data curation” or “research data management.”

The field of data science has not been explored using bibliographic analysis of publications from the perspective of the LIS. This paper helps to better understand the field of data science and the perspectives for information professionals.

The purpose of this paper is to provide a selected bibliography of recent resources on library instruction and information literacy.

The paper identifies and annotates periodical articles, monographs, and audiovisual material, in the area of library instruction and information literacy.

The paper provides information about each source, discusses the characteristics of current scholarship, and describes sources that contain unique scholarly contributions and quality reproductions.

The information in the paper may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

Performing efficient literature searches and subscribing to the most comprehensive databases for interdisciplinary fields can be challenging since the literature is typically indexed in numerous databases to different extents. Comparing databases will help information professionals make appropriate choices when teaching, literature searching, creating online subject guides, and deciding which databases to renew when faced with fiscal challenges. The purpose of this paper is to compare databases for searching the chemical engineering literature.

This paper compares journal indexing and search recall across seven databases that cover the chemical engineering literature in order to determine which database and database pair provide the most comprehensive coverage in this area. It also summarizes published, database comparison methods to aid information professionals in undertaking their own comparative assessments.

SciFinder, Scopus, and Web of Science, listed alphabetically, were the leading databases for searching the chemical engineering literature. SciFinder-Scopus and SciFinder-Web of Science were the top two database pairs. No single database or pair provided 100 percent complete coverage of the literature examined. Searching a second database increased the recall of results by an average of 17.6 percent.

The findings are useful since they identify “best bets” for performing an efficient search of the chemical engineering literature. Information professionals can also use the methods discussed to compare databases for any discipline or search topic.

This paper builds on the previous literature by using a dual approach to compare the coverage of the chemical engineering literature across multiple databases. To the author’s knowledge, comparing databases in the field of chemical engineering has not been reported in the literature thus far.

Information about the former and current status of many scientific journals is summarized.

Newly‐created journals (sometimes based on old ones), cessation of issues, journals incorporated into others, merged and split journals are mentioned. Information about a large number of scientific publishers (publishing houses, scientific institutions and organizations, educational institutions, societies, associations, federations, unions and companies) which make a significant contribution to printed and electronic output are noted. The web addresses of electronic libraries, information networks, search systems, databases and catalogs of natural‐scientific literature are collected.

It behoves scientists, who profess to disseminate scientific knowledge, to avail themselves of the myriad information sources on offer.

This is possibly the first attempt to embrace comprehensively and in minute detail the vast field of information on the sources of contemporary sciences and their representative bodies.

Finding specific information on the Web can be difficult and time‐consuming due to the Web’s tremendous size and the current speed of network connections. Information agents that search the Web on behalf of users are invaluable. Since information needs are diverse, there should be tools for users to build their own agents that specialize in finding the information they want. These tools should be usable by non‐programmers. This paper describes ARIS, a shell for constructing information agents without coding. Our approach is akin to expert system shells, where the user supplies the knowledge for each specialist agent, and a common engine utilizes the agents’ knowledge. An agent’s search is guided by knowledge about how Web sites in a given domain are typically structured. We also report on our experiences with two agents built using ARIS.

The purpose of this paper is to claim that it is useful to assess the web connectivity of research groups, describe hyperlink‐based techniques to achieve this and present brief details of European life sciences research groups as a case study.

A commercial search engine was harnessed to deliver hyperlink data via its automatic query submission interface. A special purpose link analysis tool, LexiURL, then summarised and graphed the link data in appropriate ways.

Webometrics can provide a wide range of descriptive information about the international connectivity of research groups.

Only one field was analysed, data was taken from only one search engine, and the results were not validated.

Web connectivity seems to be particularly important for attracting overseas job applicants and to promote research achievements and capabilities, and hence we contend that it can be useful for national and international governments to use webometrics to ensure that the web is being used effectively by research groups.

This is the first paper to make a case for the value of using a range of webometric techniques to evaluate the web presences of research groups within a field, and possibly the first “applied” webometrics study produced for an external contract.