Helena VonVille, MLS, MPH Library Director University of Texas School of Public Health Summer 2015 S IX S TRATEGIES FOR E FFECTIVE S EARCHING.

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Presentation transcript:

Helena VonVille, MLS, MPH Library Director University of Texas School of Public Health Summer 2015 S IX S TRATEGIES FOR E FFECTIVE S EARCHING

#2 of 40 O BJECTIVES  Be able to define what a database is  Be able to describe the strategies for developing an effective search

#3 of 40 W HAT IS A DATABASE ?  “Formally, "database" refers to the data themselves and supporting data structures. Databases are created to operate large quantities of information by inputting, storing, retrieving and managing that information. Databases are set up so that one set of software programs provides all users with access to all the data.”  minology_and_overview minology_and_overview

#4 of 40 W HAT IS A DATABASE ?  Two parts to consider  Content  Interface or search engine

#5 of 40 W HAT IS A DATABASE ?  Content  It’s the “stuff” of a database  Individual “stuff” is found in records Each record contain many fields Fields are defined by the database producer  Common fields are author, title, abstract, subject headings  Most fields are searchable

#6 of 40 W HAT IS A DATABASE ?  Interface or search engine  Interface producer’s name = interface name  Defines how the database looks & the rules for searching  Plays a major role in the results you retrieve  Which is the interface? Which is the database? Ovid…..MedlineMedline Ebsco…..MedlineMedline NLM/NCBI…..PubMedPubMed

#7 of 40 W HAT IS A DATABASE ?  When you talk about searching a database, you don’t want to say you searched Ovid or you searched Ebsco/EBSCOhost  Each interface offers multiple content options!

#8 of 40 S IX S TRATEGIES FOR E FFECTIVE S EARCHING 1. Create concept clusters based on the components of your topic 2. Combine terms & concepts using Boolean operators 3. Use the appropriate vocabulary 4. Revise your search strategy 5. Search more than one database 6. Learn database search rules & peculiarities

#9 of 40 S TRATEGY #1 C REATE CONCEPT CLUSTERS  First and foremost– know what you want to research!  Consider the following: What class are you in?  Make your topic appropriate to the class you are taking. Who is your population? What types of studies do you want? What range of years do you want?  Why? What languages do you want to include? What setting(s) are you interested in?

#10 of 40 S TRATEGY #1 C REATE CONCEPT CLUSTERS  Develop a search strategy based on concept clusters  Three concepts generally work best  Utilize a variety of synonymous terms to create a concept  Perform broad conceptual searches Combine concepts to narrow results

#11 of 40 S TRATEGY #1 C REATE CONCEPT CLUSTERS  Sample aim:  Examine factors in interventions that result in the reduction of the use of tobacco products, specifically cigarettes, among adult African Americans

#12 of 40 S TRATEGY #1 C REATE CONCEPT CLUSTERS  Interventions  Interventions; health promotion; health education  Tobacco  Smoking; cigarettes; tobacco  African Americans  African Americans; Blacks; minorities

#13 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  Combine terms to create concepts  or  OR if searching PubMed  Combine concepts to create a single search statement  and  AND If searching PubMed  Remove terms (use sparingly!)  not  NOT if search PubMed

#14 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN Smoking or cigarettes or tobacco African Americans or Blacks or minorities AND finds the articles where all 3 circles converge. Interventions or health promotion or health education Terms related to each concept are combined using OR.

#15 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  What to “google-ize” a search?  Use parentheses to ensure the correct order of operations  What does this equation equal?  x 7 – 8  What does this equation equal?  (4 + 3) x (7 – 8)

#16 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  What does this equation equal?  x 7 – 8 = 17  According to the order of operations, multiplication and division are done before addition and substraction.  What does this equation equal?  (4 + 3) x (7 – 8) = -7

#17 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  This search in any Ovid database:  Interventions or health promotion or health education and Smoking or cigarettes or tobacco and African Americans or Blacks or minorities  Will return:  (((((Interventions or health promotion or health education) and Smoking) or cigarettes or tobacco) and African Americans) or Blacks or minorities)

Blacks or minorities Articles with ((Interventions or health promotion or health education) and smoking) AND African Americans will be returned. Articles with (Cigarettes or tobacco) and African Americans will be returned. All articles with the terms Blacks or minorities will be returned. (Interventions or health promotion or health education) OR Cigarettes or tobacco African Americans AND Smoking #18 of 35 AND

#19 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  Where do you think the parenthesis should go?  Interventions or health promotion or health education and Smoking or cigarettes or tobacco and African Americans or Blacks or minorities

#20 of 40 S TRATEGY #2 C OMBINE TERMS USING B OOLEAN  Where do you think the parenthesis should go?  (Interventions or health promotion or health education) and (Smoking or cigarettes or tobacco) and (African Americans or Blacks or minorities)

#21 of 40  You can “google-ize” a search but…  Parentheses are REALLY important!  Find it Fast search example no parentheses Find it Fast search example no parentheses  Find it Fast search example parentheses Find it Fast search example parentheses  Ovid Medline example: S TRATEGY #2 C OMBINE TERMS USING B OOLEAN

#22 of 40  Example concept cluster S TRATEGY #2 C OMBINE TERMS USING B OOLEAN

#23 of 40 S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY  Each database has its own unique terminology  Also known as a “controlled vocabulary”  Developed by the database producer  Specific to EACH database  Searches can look for controlled vocabulary terms Previous slide– see the terms with a “/” following them? Controlled vocabulary terms!

#24 of 40 S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY  Common controlled vocabularies  MeSH: Medical Subject Headings Used by both Medline & PubMed Ex. Intervention Studies/  Thesaurus of Psychological Index Terms Used by PsycINFO

#25 of 40 S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY  What does “stress” mean to you?

#26 of 35 S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY

#27 of 40  Many databases also have special fields that utilize a different vocabulary or codes  Librarians frequently use them to help refine searches S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY

#28 of 40  Example from Ovid Medline  MeSH + subheadings / eh [Ethnology] / th [Therapy]  Publication type S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY

#29 of 40  Ovid PsycINFO  Key Concepts  Subject Headings  Classification Code  Population Group  Methodology S TRATEGY #3 U SE THE APPROPRIATE VOCABULARY

#30 of 40 S TRATEGY #4 R EVISE YOUR SEARCH STRATEGY  Plan on doing several searches in the same database  Use citations found in earlier searches to help develop and revise searches

#31 of 40  Final search  Sort of!

#32 of 40 S TRATEGY #4 R EVISE YOUR SEARCH STRATEGY  Example: We didn’t add smoking cessation terms to the search!

#33 of 40 S TRATEGY #4 R EVISE YOUR SEARCH STRATEGY  Add the appropriate terms, then combine!

#34 of 40 S TRATEGY #5 S EARCH MORE THAN ONE DB  No one database does it all  Not even Google or Google Scholar  Each db has strengths & weaknesses  Subject listing for SPH databases Subject listing for SPH databases  A-Z listing for SPH databases A-Z listing for SPH databases

#35 of 40 S TRATEGY #6 L EARN DB SEARCH RULES & PECULIARITIES  Adjacency (proximity) searching  Interface function  Terms must be within certain number of words from each other  PubMed– not allowed Use “quotation marks” for phrases “breast cancer screening”[tiab] OR “screening for breast cancer”[tiab]

#36 of 40 S TRATEGY #6 L EARN DB SEARCH RULES & PECULIARITIES  Adjacency (proximity) searching  Ovid (Medline, PsycINFO) Cancer adj3 screening  Ebsco (CINAHL, Acad Srch Comp) Cancer n3 screening  Words in any order Cancer w3 screening  Words must be in the order entered  Cancer screening will be found; screening for cancer won’t

#37 of 40 S TRATEGY #6 L EARN DB SEARCH RULES & PECULIARITIES  Search in specific fields  Fields are defined by database producer  How to search defined by interface  Ovid databases Ovarian cancer.ti,ab,kw. and english.la.  PubMed Ovarian cancer[tiab] AND English[la]  Ebsco databases (TI Ovarian cancer OR AB Ovarian cancer) AND LA english

#38 of 40 S TRATEGY #6 L EARN DB SEARCH RULES & PECULIARITIES  PubMed requires CAPITALIZED operators  “and” vs “AND”; “or” vs “OR”; “not” vs “NOT”  Search for phrases using “quotation marks”  Works in Google, too!

#39 of 40 S IX S TRATEGIES FOR E FFECTIVE S EARCHING 1. Create concept clusters based on the components of your topic 2. Combine terms & concepts using Boolean operators 3. Use the appropriate vocabulary 4. Revise your search strategy 5. Search more than one database 6. Learn database search rules & peculiarities

Contact: Helena VonVilleAmy Taylor Q UESTIONS ? A SK A L IBRARIAN OR VIA TEXT : A SK A L IBRARIAN