Directorios temáticos en Internet como herramienta de difusión de la ciencia. Análisis comparativo

The aims of this paper are to describe and compare the main subject guides of web resources used in Spain: Intute (UK), Infomine (USA), The Virtual Library of WWW (International), Open Directory Project (International), Yahoo! Directory (International) and Tecnociencia (Spain). All of them have an interdisciplinary scope containing resources specialized in all of scientific domains: Science and Technology, Social Science, Arts and Humanities and Health and Life Sciences. The issues analyses are: year of launch, institutional information, distribution of subjects, documental analysis, searching and browsing, additional services and help materials

Web-based company directories: A case study with IT industry

The World Wide Web (WWW) is a popular platform for delivering digitized information. All types of information sources are available on WWW such as primary sources (e-journals), secondary sources (bibliographic databases) and tertiary sources (directories). Web-based information sources have some specific features compared to other forms (print, CD-ROM). In this paper we have discussed the steps involved in setting up a web-based company directory of Information Technology (IT) industry. As the first step, a few important web-based company directory services are analyzed. Based on the analysis, meta tags, indexing and search features required for effective web-based company directory service are defined. About 50 company web pages related to IT industries are retrieved by surfing the Net. The collected information is compiled and mounted as a MYSQL database. PERL is used to access the database. The sample directory has features such as hierarchical browsing, and field based searching

The NASA master directory: Quick reference guide

This is a quick reference guide to the NASA Master Directory (MD), which is a free, online, multidisciplinary directory of space and Earth science data sets (NASA and non-NASA data) that are of potential interest to the NASA-sponsored research community. The MD contains high-level descriptions of data sets, other data systems and archives, and campaigns and projects. It provides mechanisms for searching for data sets by important criteria such as geophysical parameters, time, and spatial coverage, and provides information on ordering the data. It also provides automatic connections to a number of data systems such as the NASA Climate Data System, the Planetary Data System, the NASA Ocean Data System, the Pilot Land Data System, and others. The MD includes general information about many data systems, data centers, and coordinated data analysis projects, It represents the first major step in the Catalog Interoperability project, whose objective is to enable researchers to quickly and efficiently identify, obtain information about, and get access to space and Earth science data. The guide describes how to access, use, and exit the MD and lists its features

Conspectus and the Scottish Collections Network : landscaping the Scottish common information environment

The article briefly gives the background to the concept of a common information environment, followed by a history of the development of two major components of a common information environment for Scotland in the form of the Scottish Collections Network, a collections description service, and the Cooperative Information Retrieval Network for Scotland, a distributed union catalogue for meta-searching. The article discusses the application in Scotland of the Conspectus methodol-ogy for the subject mapping of general library collections, and describes how Conspectus data has been integrat-ed in the information environment to allow the identifi cation and selection of collections and associated catalogues with strength in specifi c subjects

archivist: An R Package for Managing, Recording and Restoring Data Analysis Results

Everything that exists in R is an object [Chambers2016]. This article examines what would be possible if we kept copies of all R objects that have ever been created. Not only objects but also their properties, meta-data, relations with other objects and information about context in which they were created. We introduce archivist, an R package designed to improve the management of results of data analysis. Key functionalities of this package include: (i) management of local and remote repositories which contain R objects and their meta-data (objects' properties and relations between them); (ii) archiving R objects to repositories; (iii) sharing and retrieving objects (and it's pedigree) by their unique hooks; (iv) searching for objects with specific properties or relations to other objects; (v) verification of object's identity and context of it's creation. The presented archivist package extends, in a combination with packages such as knitr and Sweave, the reproducible research paradigm by creating new ways to retrieve and validate previously calculated objects. These new features give a variety of opportunities such as: sharing R objects within reports or articles; adding hooks to R objects in table or figure captions; interactive exploration of object repositories; caching function calls with their results; retrieving object's pedigree (information about how the object was created); automated tracking of the performance of considered models, restoring R libraries to the state in which object was archived.Comment: Submitted to JSS in 2015, conditionally accepte

Special Libraries, Winter 1986

Volume 77, Issue 1https://scholarworks.sjsu.edu/sla_sl_1986/1000/thumbnail.jp