As a school librarian you are expected to serve your students, teachers, and school as the premier information specialist. This means that you should model and share your knowledge of expert searching techniques so others can recreate your search strategies and tricks to find quality resources on their own. Below are several research and Citation resources and Tips that may help you on this information quest.
General Research Tips
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For books and other library materials at Mansfield University and beyond check PILOT (MU Library Catalog), EZ-Borrow (consortium of PA and neighboring state libraries), Access Pennsylvania (another consortium of PA libraries) or WorldCat (access to the world, through the Library of Congress). Online students may request Inter-Library Loan (free) if needed. If you are new to the library check out their tutorial, Search & Find it!
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Many states provide their citizens access to union catalogs and/or subscription databases like PA's Access Pennsylvania, EZ-Borrow, and POWER Library. Popular examples include BadgerLink (WI), INFOhio, NOVEL (NY), NJ State Library/Electronic Resources, MEL (MI), and TexShare. For other states search the web for "virtual library" and the name of your state.
For education articles, reports, guides, and classroom materials go no further than the Educator's Reference Desk (formerly ERIC): http://www.eduref.org.
For the greatest coverage of education and library science topics check out the following EBSCOHost databases, available through the Databases page of the North Hall Library:
For help with MLA formats for your Bibliography / Works Cited:
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For articles cited in popular library databases you can often generate a correct citation from the bibliographic record (though note that the default cite is NOT MLA). The trick is to go through the motions of saving or printing the citation, specifying the desired citation style, then clicking OK to create the citation. For a quick demo of MU's most used database vendor see our short video for EBSCOhost.
NoodleBib—subscription service available via the MU Library. Create bibliographies in various styles, including MLA. Note that you must first create an account via the Library (requires login with your 18-digit barcode number).
Citation Machine —free online citation creator (you get what you pay for)
MLA Website (official page)
MLA Formatting and Style Guide —online guide from Purdue University's world famous Owl resource center for writing and research support
Tips and Suggestions for Developing a Search Strategy
(see also the lecture notes below from the SL&IT Intro Course)
In developing a strategy consider how you can limit results to a specific grade level, age, or exceptionality; learning style; date range; or publication type (e.g. research report, lesson plan, article, speech, case study, etc.).
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Consider using controlled vocabulary in databases that support it (e.g. ERIC descriptor or Identifier). Check for a database-specific Thesaurus. Originally printed as a reference book, the ERIC thesaurus is built into EBSCOhost's ERIC database. This official guide to education terminology identifies descriptors used to index articles, and includes related terms and definitions.
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Constantly develop sophisticated search skills with advanced search features or alternate sources of information, such as database-specific thesauri; pathfinders (bibliographic essays); or specialized web sites (e.g. US Census Bureau or the National Center for Education Statistics for data).
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Use advanced search syntax like quotes for exact phrases (e.g. "school library") or Boolean operators (and, or, not). Some databases and most Internet search engines by default search multiple word queries as separate search concepts broadened with the Boolean or. Consequently, a search on school library will find a million items with any instance of the word school (to include vocational, graduate, special, and even the school of hard knocks) PLUS another million items related to any kind of library (to include college, law, special, the Library of Congress, etc.). And keep in mind a "school library" (a place where K-12 students learn) is different from a "library school" (a place to train librarians of all types).
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To squeeze Internet search engines of all their power click on the Advanced Search. Many of the more popular engines provide simple forms to add limits or filters to produce more accurate and relevant results. If you are familiar with the tricks of a specific search engine use it on their basic search. For example, some Internet search tools (e.g. Google) allow you to mandate inclusion of specific words with a plus sign or exclude terms with a minus sign (e.g. -amazon) to filter out hundreds of hits linked to Amazon advertisements to a book.
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As of spring 2011 Google no longer supports the plus sign (+); instead, use quotes to force inclusion of specific terms or to prevent the search from automatically looking for synonyms. For example, the quoted term, "cat" would find only the that specific term, not variations like the plural "cats" (either the Broadway play or the animal) or synonyms, like kitty, kitten, feline, etc. (to find synonyms prefix the ~ character before the term; e.g. ~cat).
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If the goal of your research is to find the best articles possible, then a search strategy that relies heavily on the free Internet and only one all-purpose commercial database (e.g. Academic Search Complete) is not very effective. For education-related topics you should always search ERIC, along with the more comprehensive Education Full-Text. For specialized topics you may wish to consider PsycINFO (covering psychology and learning theory) or Library Literature.
An effective search strategy can include seemingly logical approaches that nonetheless lead to unexpectedly poor results. As a coach to novice searchers you should model expert behavior by sharing experiences of what does NOT work, in addition to successes. A good search strategy could consequently include advise on what not to do.
Part of a search strategy involves describing which terms and particular tricks are used for which databases. For example, in PsycINFO the preferred terminology for multiple intelligence is cognitive style and intelligence (possibly qualified with grade or age level). You could then add specific intelligences or learning styles to further restrict results. How do you know which term to use? Think Thesaurus!
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In developing resources for a research project be sure to examine a wide variety of sources, to include a good reference work (encyclopedia, handbook, bibliographic work, etc) or basic informational web site. ERIC Digests are especially excellent starting points, and they are very brief. One excellent and equally succinct online resource for learning theory is the Theory into Practice Database (now integrated with instructionaldesign.org).
In evaluating search results, consider the number and quality (relevance) of retrieved hits. This is how you can compare the reliability and accuracy of one resource over another. How would you compare results if the same query resulted in 50 hits in one database and 846,743 in another? What if the tool that yielded only 50 hits consisted of 45 that were highly relevant, while the other displayed page after page of advertisements and low-quality blogs? Think quality, not quantity.
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If you cite a database family (e.g. EBSCOhost, Gale, Wilson, etc.) be sure to specify the precise database title. For example, the MU Library subscribes to dozens of EBSCO products. So, please cite the particular title (e.g. Academic Search Complete, Middle Search Plus, EBSCO Animals, ERIC, etc.). Also keep in mind that there are many other resources available to both MU students and teachers in general via state consortia (e.g. Power Library in PA, InfoOhio in Ohio, New York's Novel, etc.).
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When providing a link for commercial resources note that generic addresses (e.g. http://search.ebscohost.com) neither identify the article nor even the specific database (see above). If a persistent link is available that goes directly to the article, use it. EBSCOhost conveniently provides this link in each citation. But note that this link will work only on a school campus that utilizes IP address recognition. That means you can use the link only if your computer's Internet address belongs to a registered domain on the vendor's customer list.
If the database can not identify the user's location (i.e. campus) it will not be able to authenticate the user and consequently deny access. In that case, either use a Proxy server if available, or the generic URL to the database family. Similarly, large vendors like EBSCO use multiple servers, so addresses that identify a specific server (e.g. web12.epnet.com) will rarely work, unless that particular server is available (each server can handle only so many connections at a time, and the network automatically assigns the current search session to a specific server).
For convenience, the MU library provides custom URLs that link a user to a specific product's login. Upon entering these pages you will either go directly to the database, if accessed from the MU campus, or type your MU ID to identify yourself as an authorized user.
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Note that Wilson's Education Full-Text database (bought by EBSCO in late 2011) identifies many materials that are not cited in either ERIC or related databases. Likewise, the US Dept of Education maintains its own free version of ERIC, at: http://eric.ed.gov (which you might use if your school has no access to a commercial version of ERIC).
Additional Tips on Searching Library Databases
(Notes from the SL&IT Intro course)
Though Internet search tools are popular and easy—and for many information seekers, even sexy—they are not always the most accurate or reliable tools for the job. True information professionals rely on the best tool, not necessarily the easiest or most convenient. Besides accommodating more powerful search strategies and procedures, proprietary databases (i.e. subscription-based) offer many advanced features.
Two of the most important concepts in database searching are recall and precision. Google will gladly retrieve a million items for you ("hits"), but how many of those are any good? On the other hand, an expensive subscription database might find only one or two items with the same search, but those few items might be exactly what you were looking for. Recall in this case is a measure of quantity. Of all the possible relevant articles available, how many will a database or search tool find?
A search for "Harry Potter" in Google, for example, will find over a million hits, most of which revolve around the commercial aspects of the series (fan sites, bookstore advertisements, movie reviews, etc.). If you wish to focus exclusively on the effect of the popular book series on the motivation or reading skills of middle school children, you will find far more relevant materials in a specialized database devoted to education or library science.
In contrast to recall, precision is an indication of how relevant the retrieved items are to your information need. A search that retrieves hundreds of articles about fine plates and saucers will do your students absolutely no good if their class project is about Chinese culture (get it, "Fine China"). A similar example is a search on the sea mammal, dolphins, that yields hundreds of news items about the Miami Dolphins football team. Generally speaking, as precision increases, recall decreases and vice versa (i.e. the more stuff you find, the less likely that it will be very relevant or useful).
Proprietary Databases
Perhaps more important than any other feature, proprietary databases (though not all) provide abstracts and notes about the contents of the material they index. These are brief summaries of articles or other materials, thus offering the searcher more significant criteria for evaluating whether the item might be appropriate. Depending on the database and your specific subscription, you might retrieve either a citation only for the material, a citation plus abstract, or ideally the citation, abstract and link to the full-text. Articles, depending on availability and copyright provisions, may display in one or more formats (PDF, html, or plain text).
Another difference between proprietary (i.e. fee-based) indexes and free search engines is the source for included materials. Internet search engines look everywhere and anywhere in cyberspace, which is why they find so many items (most of which are not very useful). Results can also be skewed in favor of paying customers who spend thousands of dollars to guarantee that their sites or products appear high in the list of "relevant" findings. Library databases and indexes, in contrast, review only a select number of journals and/or scholarly publications. There are far fewer items to be found, thus increasing precision, and they exclude advertisements and content of questionable value (e.g. propaganda, porn, hate-speech or highly provocative sites).
Good librarians should be familiar with all information resources that can benefit their students, even ones they can not afford (perhaps you'll obtain a monster grant or your school might hit the jackpot).
Besides reviews and articles in library journals, you can examine vendor web sites to learn about their products. As an example, compare the benefits of EBSCO's Education Research Complete and Gale's Educator's Reference Complete. Note also that the more features, indexed titles (i.e. how many journals does the database search) and full-text available, the more expensive the product.
One database that is available as both a free and fee-based subscription service (with value-added features) is ERIC. Developed and maintained for the US Department of Education, ERIC is the premier source for education articles, research, and free classroom materials. As an example of the power of a specialized database, ERIC provides its own Thesaurus of search terms and limiters to specify the types of material available (research reports, data, speeches, tests, classroom guides, etc.). Other databases with their own specialized thesauri include PsychLIT & PsychINFO (psychology), CINAHL (nursing) and Medline (medicine).
Advanced Features of Proprietary Databases
To increase both precision (quality) and recall (quantity) library databases offer several special features that free Internet search engines generally do not. The best way to learn about the specific features of databases is to review their help page and example searches. Below are the most common features available in subscription (fee-based) library databases:
Advanced Database Features
| Feature | Description |
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Boolean Operators |
The special words and, or, not that broaden or narrow a search |
Phrase Searching |
Terms that represent a specific combination of words, usually identified by quotes around words (e.g. "No Child Left Behind") |
Controlled Vocabulary |
Keywords or phases with specific meaning, as determined by professional indexers or catalogers |
Field Searching |
Filters that restrict a search to specific parts of a document, such as its title, author, date, subject, publisher, etc. Enter either from drop down options or as command line arguments. For example, in EBSCOhost enter: TI school reform and AU Folly |
Truncation |
Variations on the root of a word (indicated by a specified symbol, such as an asterisk or question mark). For example, to find articles with the words library, librarian, librarians, libraries, or librayicious (I just coined that term) you could try something like this: libr* |
Wildcards |
Similar to truncation, wildcards allow you to search variations of spelling (labor or labour) or plurality (woman or women) without relying on the Boolean "or" to find both instances. For example, your search involving the female persuasion could look like this: wom?n As with many special features the specific characters for wildcards differs greatly between databases, so be sure to review the help pages of each database. |
Proximity Searching |
Available in only the most sophisticated (i.e. expensive) databases, proximity refers to the closeness of words to one another to provide more precise context. Proximity operators are generally specific to the database and can indicate either a specified number of words apart in any order (Near) or in the specified order entered (Within). A great example are the two keywords school and library. Graduate students who study to become librarians go to a "library school" which is very different from K-12 students who learn to become information literate in their "school library." Though you could specify the phrase "school library" the search below also works in many EBSCO databases: school w2 library Proximity can be a powerful tool to avoid the bulk of irrelevant articles where specified keywords just happen to appear in the same document, perhaps 10-20 pages apart from one another, but that have no relation to each other. For example a search on the words school and reform might retrieve articles about teaching accounting majors the concept of tax reform, which is probably not quite what you had in mind. |
Controlled vs. Free-Text (Natural Language) Searching
The advantage of subscription (also known as fee-based or proprietary) databases is that they search only a limited number of pre-selected sources. The possible universe of information for recall is restricted to mostly scholarly journals and other carefully reviewed publications. To increase precision proprietary databases often utilize their own controlled vocabulary, that is, subject headers or descriptors that remove the element of ambiguity or double meaning with search terms.
These carefully chosen terms are specific or unique to the users of the database, especially in the disciplines of nursing & medicine, psychology and most significantly, education. For example, the descriptor "School Libraries" in EBSCO (or "Libraries, School" in Wilson's Education Full Text) can not be confused with the free-text term, "library school" (or consider the word "china" to refer both to a country and also fine dishes and plates).
Internet search engines generally look for free-text, that is, they indiscriminately search every single word on a web page or in a document for the specified query words or phrase. These terms mirror everyday usage or natural language, the opposite of the precise (some would say arcane) language of indexers and catalogers, those folks who categorize people, places and things to bring order into the universe of search terminology (see the excellent articles by Marydee Ojala and Leise, Fast, & Steckel in your Readings). Searching free-text is less precise than controlled vocabulary, but is far more convenient and flexible since you need not learn obscure terminology or look up terms in a specialized Thesaurus, the dictionary of specialized subject headers or descriptors.
As a very general rule (not always followed) subject headings describe books whereas descriptors refer to articles and non-book materials. One the most famous thesauri in the school library world is the Sears List of Subject Headings, a simplified version (with less technical vocabulary) of the more famous Library of Congress Subject Headings (LCSH), both of which describe and define tens of thousands of terms used to catalog or search for books.
Free-text searching is also necessary when searching for terms that are new, relatively unknown or are otherwise yet unclassified in a thesaurus. Consider, for example, a new fad that just became all the rage within the last month, or the change of a country's name. Print thesauri generally take months to prepare, and only after professional indexers and catalogers debate the incorporation of new terms or agree to revise old ones.
Free-text certainly increases recall but at the expense of precision, since random instances of words out of context in a long document can easily lead to the false impression that a document is relevant simply because 2-3 keywords happen to appear in the same document.
Field Searching
To search by field (e.g. author, title, descriptor, file format, etc.) you can either enter terms in the appropriate drop down option or type the field code in the command line (see the screen shots below). As an example, the search "TI weeding and DE School Libraries" looks for articles where the word weeding appears in the title of articles along with the official descriptor, school libraries, to narrow down the number of possible retrievals. As a good rule of thumb do not search for descriptors unless you are very certain that the term you use is the official descriptor for the specific database you are searching, as a descriptor in one database probably is not the same in another (we'll discuss the use of thesauri further below).
Search field in the ERIC database (EBSCOhost)

Search field in the Expanded Academic ASAP database (Gale / InfoTrac)

As you can see above, proprietary database products like EBSCOhost and GaleNet provide many ways to limit a search. In education an effective way to increase precision is to limit results by education level or type. If you only need classroom materials for kindergarten you need not broaden a search to include hundreds of materials intended for middle or high school students. As an example, you can enter a command-line search in the EBSCO version of ERIC (see below) like this:
SU "Early Childhood Education" and TI literacy and AB technology
This complex query provides three separate search filters:
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First, it limits materials to the official subject header (SU) corresponding to the educational level, early childhood education, which according to the ERIC Thesaurus (accessible from within the database), refers exclusively to grades K-3.
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Next, the search limits findings to materials with the word "literacy" in the title (TI), thereby ignoring materials unrelated to your search but published by either an organization with the specified word in its name (e.g. The Environmental Literacy Council) or in the article's abstract.
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Finally, it requires results to relate to technology, as identified by the query term appearing in the abstract (AB), though not necessarily displaying in the title of an otherwise brilliantly relevant article entitled, perhaps, "Honey I shrank the books" (about digitization of books for podcasting).