Overview of trending keyword tags

Drupal is a free and open source content management system (CMS) and Content Management framework (CMF) written in PHP and distributed under the GNU General Public License. It is used as a back-end system for at least 1.5% of all websites worldwide ranging from personal blogs to corporate, political, and government sites including whitehouse.gov and data.gov.uk. It is also used for knowledge management and business collaboration. (Excerpt from Wikipedia article: Drupal)

CERIF (Common European Research Information Format) emerged first as a simple standard not unlike a library catalogue card or the present DC (Dublin Core Metadata Standard) and was intended as a data exchange format. It was based on records describing projects, with persons and organisational units as attributes. However, it was soon realised that in practice this CERIF91 standard was inadequate: it was too rigid in format, did not handle repeating groups of information, was not multilingual / multi character set and did not represent in a sufficiently rich way the universe of interest. A new group of experts was convened and CERIF2000 was generated. Its essential features are: (a) it has the concept of objects or entities with attributes such as project, person, organisational unit; (b) it supports n:m relationships between them (and recursively on any of them) using 'linking relations' thus providing rich semantics including roles and time; (c) it is fully internationalised in language and character set; (d) it is extensible without prejudicing the core datamodel thus providing guaranteed interoperability at least at the core level but not precluding even richer intercommunication. It is designed for use both for data exchange (data file transfer) and for heterogeneous distributed query / result environments. With CERIF2004, minor improvements in consistency have been released. With CERIF2006 substantial improvements have been implemented with the model, concerning in particular the introduction of a so-called Semantic Layer, that makes the model flexible and scalable for application in very heterogeneous environments. (Excerpt from this source)

A data set (or dataset) is a collection of data, usually presented in tabular form. Each column represents a particular variable. Each row corresponds to a given member of the data set in question. Its values for each of the variables, such as height and weight of an object or values of random numbers. Each value is known as a datum. The data set may comprise data for one or more members, corresponding to the number of rows. (Excerpt from Wikipedia article: Data set)

The Retrieval, Analysis, and Presentation Toolkit for usage of Online Resources (RAPTOR) project was designed to build a free-to-use, open source software toolkit for reporting e-resource usage statistics (from Shibboleth IdPs and EZProxy) in a user-friendly manner suitable for non-technical staff. Given the current economic climate and likelihood of tightening funding, understanding the usage of e-resources is becoming increasingly important as it allows an institution to understand which resources they need to keep subscribing to, and those which they may wish to unsubscribe from (potentially resulting in cost savings). (Excerpt from this source)

Cloud computing refers to the provision of computational resources on demand via a computer network. In the traditional model of computing, both data and software are fully contained on the user's computer; in cloud computing, the user's computer may contain almost no software or data (perhaps a minimal operating system and web browser only), serving as little more than a display terminal for processes occurring on a network of computers far away. A common shorthand for a provider's cloud computing service (or even an aggregation of all existing cloud services) is "The Cloud". (Excerpt from Wikipedia article: Cloud computing)

Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to computerize a record-keeping system in an office, or to publish the text on a website. OCR makes it possible to edit the text, search for a word or phrase, store it more compactly, display or print a copy free of scanning artifacts, and apply techniques such as machine translation, text-to-speech and text mining to it. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. (Excerpt from Wikipedia article: Optical character recognition)

Open educational resources (OER) are "digitised materials offered freely and openly for educators, students and self-learners to use and reuse for teaching, learning and research." Being a production and dissemination mode, OER are not involved in awarding degrees nor in providing academic or administrative support to students. However, OER materials are beginning to get integrated into open and distance education. Some OER producers have involved themselves in social media to increase their content visibility and reputation. OER include different kinds of digital assets. Learning content includes courses, course materials, content modules, learning objects, collections, and journals. Tools include software that supports the creation, delivery, use and improvement of open learning content, searching and organization of content, content and learning management systems, content development tools, and on-line learning communities. Implementation resources include intellectual property licenses that govern open publishing of materials, design-principles, and localization of content. They also include materials on best practices such as stories, publication, techniques, methods, processes, incentives, and distribution. (Excerpt from Wikipedia article: Open Educational Resources)

Web accessibility refers to the inclusive practice of making websites usable by people of all abilities and disabilities. When sites are correctly designed, developed and edited, all users can have equal access to information and functionality. For example, when a site is coded with semantically meaningful HTML, with textual equivalents provided for images and with links named meaningfully, this helps blind users using text-to-speech software and/or text-to-Braille hardware. When text and images are large and/or enlargable, it is easier for users with poor sight to read and understand the content. When links are underlined (or otherwise differentiated) as well as coloured, this ensures that color blind users will be able to notice them. When clickable links and areas are large, this helps users who cannot control a mouse with precision. When pages are coded so that users can navigate by means of the keyboard alone, or a single switch access device alone, this helps users who cannot use a mouse or even a standard keyboard. When videos are closed captioned or a sign language version is available, deaf and hard of hearing users can understand the video. When flashing effects are avoided or made optional, users prone to seizures caused by these effects are not put at risk. And when content is written in plain language and illustrated with instructional diagrams and animations, users with dyslexia and learning difficulties are better able to understand the content. When sites are correctly built and maintained, all of these users can be accommodated while not impacting on the usability of the site for non-disabled users. (Excerpt from Wikipedia article: BS 8878)

Solr is an open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Providing distributed search and index replication, Solr is highly scalable. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Apache Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required. Apache Lucene and Apache Solr are both produced by the same ASF development team since the project merge in 2010. It is common to refer to the technology or products as Lucene/Solr or Solr/Lucene. (Excerpt from Wikipedia article: Solr)