OER Straw Dogs/Find/search engines



A number of specialized search engines and services have been set up to make finding OER easier. If your aim is to find resources to combine and mix with your own and with each other, it is important to understand the licensing implications. See Licensing and specifically Which License Should I Choose? and License Compatibility. Each search engine has different strengths and may not provide the accuracy and speed of standard web searches. The list is constantly growing, but some examples include:


 * ADRIANE Search and Indexation Tool : Search among several prominent OER repositories including MERLOT, OER Commons and ADRIANE.
 * Universal Education Search : While not operational yet, expectations are high that the recently announced specialized search engine developed by Google and the Creative Commons ccLearn project with support from the Hewlett Foundation will improve things considerably. The key difference to a general Google search is that the project is currently collecting URLs from OER repositories. In the meanwhile, Creative Commons has its own list of OER search engines.
 * Creative Commons Search : offers a number of specialized search engines (including Google, Yahoo, Flickr, etc.), which only bring up results that are licensed under Creative Commons licenses.
 * Commonwealth of Learning(CoL) Knowledge Finder : used to be its own unique search engine, but was recently replaced by a set of specialized Google searches, one of which focuses on open educational resources. This means that the CoL has created a list of websites they consider good sources of OER materials, and your search will be restricted to that set of websites.
 * Federal Resources for Educational Excellence (FREE) : learning resources from government agencies. Licenses tend to be either All Rights Reserved to public domain.
 * Learning Objects.net: Website that collects links to OER, but does not actually store any itself. Over 250 links, with updates on OCW and wikis sites. License varies.
 * OpenCourseWare Finder : developed by the Center for Open and Sustainable Learning (COSL) at Utah State University, collects a list of courses from some of the well-known OpenCourseWare sites, and organizes them taxonomically. It offers a nice and fast user-interface, but new content (or new sites) do not show up immediately, and the current set of resources is biased towards MIT OCW material.
 * OER Recommender : Simple search engine that returns results from several different repositories. Also includes a plug-in (called an extension) that can help recommend resources for any page you visit.
 * OER Commons : Developed and hosted by the Institute for the Study of Knowledge Management (ISKME) in Education and funded by the Hewlett Foundation, this large database of OER includes K-12 resources, as well as higher education ones. It also includes features such as tags, ratings, comments, reviews, and social networking.
 * TechXtra : Find articles, key websites, books, the latest industry news, job announcements, ejournals, eprints, and technical reports.

Effective search with search engines
Note: If you are already familiar with different search engines and BOOLEAN search you can skip this section.

Without search engines and their indexing efforts, the web would be a pure chaos for its users. You can use the same methods and techniques like you use for a general search. Just enter one or more keywords or even better a phrase into the search box of your favorite search engine and get the results presented.

To improve your findings use a boolean search. Boolean search is a type of search that uses words to establish the relationship between search terms. There are three Boolean operators:


 * AND: Use the AND operator to retrieve a set in which each citation contains all the search terms. This operator places no condition on where the terms are found in relation to one another; the terms simply have to appear somewhere in the same citation.
 * OR: Use the OR operator to retrieve documents that contain at least one of the specified search terms. Use OR when you want to pull together articles on similar subjects.
 * NOT: Use the NOT operator to exclude the retrieval of terms from your search.[2]

Nearly every search engine allows you to specify your request with this boolean operators. If wanted like to search for the fruit "apple," you would want to exclude all findings about computers and operating systems. For that, you should write a request like


 * apple AND fruit NOT macintosh NOT mac NOT computer

Every search engine rules its own rules, but nearly all of the major search engines understand the following request:



If you are looking for a phrase, you should set the phrase in quotation marks. If you are looking for a "big apple" plant and are not interested in New York - which is often called "big apple" you should write:



The colon (":") used in the search examples are meant to give greater weight to one of the search terms over another. For example ":Apple+fruit" would have the search results ranked differently than ":fruit+apple."

Source
Schmidt, P. (2007, November). "7.1 Searching and finding OERs." UNESCO OER Toolkit Draft. WikiEducator. Retrieved March 21, 2008, from http://www.wikieducator.org/UNESCO_OER_Toolkit_Draft#Search_engines