Bibliographic Databases

What:
    Searchable inventory of resources

And:
    inventory may be subject, publisher, contract, or format limited

And:
    resources need not be local. (resources=that which exists)

HINT: concepts developed for bibliographic databases are used in web search engines

History

Bibliographic database: developed in the early ‘60s as NLM research at Syracuse University and New York Upstate Medical Center for Index Medicus

Computer enhancement of print resources. Concepts not changed from ancient techniques.

Print format:

Example:

Complication: Synonyms

Should you look for any or all synonyms?

Example: Teen, teens, teenager, teenagers, adolescent, adolescents, adolescence, youth, youths, high school student, high schooler, secondary school, etc.

Complication: combining concepts

Example: articles about Nursing ethics as it related to informatics.

Complication: multiyear search

Example: informatics utilization since development of the Web

Technology now works with these issues well

Continuing issues are:

Natural language queries:  I want everything about ethics and technology
Focus: I want everything about technology ethics in nursing
Demand, supply, and cost: I want only free fulltext materials about nursing ethics and technology

Database design:

Flat file: One big list

MH - Community Health Nursing/*standards MH - Computer Security MH - Confidentiality MH - *Ethics, Nursing MH - Guidelines MH - Home Care Services/*standards MH - Human MH - Medical Records Systems, Computerized/*standards MH - *Patient Advocacy EDAT- 1999/06/26 10:00 MHDA- 2000/07/15 11:00 PST - ppublish SO - Home Healthc Nurse 1999 Apr;17(4):253-6. 

Databases commonly link record parts (fields) by numeric ID:

  1. 99311449 TI - Home care nursing informatic guidelines.
    99311449 AU - Trafton KL
    99311449 SO - Home Healthc Nurse 1999 Apr;17(4):253-6
    99311449 MH - Ethics, Nursing
    99311449 MH - Medical Records Systems, Computerized/*standards

Example of Medline record:

Example of CINAHLrecord:

Expert searching

Natural language vs concept terms & phrases

Most software will not even notice for certain words (stopwords)

HINT: analyze concept words/phrases and combine these

Thinks to know about

Since the databases are often indexed by field

Understanding available fields is empowering.

Medline (PubMed)

CINAHL

Affiliation [AD] Institutional affiliation and address of the first author, and grant numbers

All Fields [ALL] Includes all searchable PubMed fields.

Author Name [AU] Various limits on the number of author names

EC/RN Number [RN] Number assigned by the Enzyme Commission

Entrez Date [EDAT] Date the citation was added to the PubMed database

 Filter [FILTER] Technical tags used by LinkOut providers

 Issue [IP] The number of the journal issue in which the article is published.

Journal Title [TA] The journal title abbreviation, full journal name, or ISSN

Language [LA] The language in which the article was published.

MeSH Date [MHDA] The date the citation was indexed with MeSH Terms

MeSH Major Topic [MAJR] A MeSH term that is one of the main topics

MeSH Terms [MH] NLM's Medical Subject Headings controlled

Page Number [PG] Enter only the first page number that the article appears on.

Personal Name as Subject [PS] where the name is the subject of the article-

Publication Date [DP] The date that the article was published.

Publication Type [PT] Describes the type of material the article represents (e.g., Review, Clinical Trial, Retracted Publication, Letter),

Secondary Source ID [SI] secondary source databanks and accession numbers of molecular sequences

Subheadings [SH] describes more completely a particular aspect of a subject.

Subset [SB] PubMed includes all the journal citations from MEDLINE. Also AIDS, Complementary Medicine, Toxicology, Space Life Sciences, and Bioethics.

Substance Name [NM] The name of a chemical discussed in the article.

Text Words [TW] Includes all words and numbers in the title and abstract, and MeSH terms, subheadings, chemical substance names, personal name as subject, and MEDLINE Secondary Source (SI) field. The Personal Name of Subject field can also be searched directly using the search field tag [ps], e.g., nightingale f [ps].

Title Words [TI] Words and numbers included in the title of a citation.

Title/Abstract Words [TIAB] Words and numbers included in the title and abstract of a citation.

Unique Identifiers [UID] PubMed Unique Identifier PMID and MEDLINE Unique Identifier UI

Volume [VI] The number of the journal volume in which an article is published.

All Fields (af)
ab: Abstract

an: Accession Number

au: Author

by: Bibliography

ca: Corporate Author

co: Contributor

df: Description

dv: Division

ed: Editor

em: Entry Month

gi: Grant Information

hw: Subject Heading Word

ib: ISBN

id: Identifiers

im: Image File Names

in: Institution

ip: Issue/Part

is: ISSN

it: Instrumentation

jn: Journal Name

jw: Journal Word

le: Legal Cases

lg: Language

np: Named Persons

nt: Notes

os: Original Study

pg: Page

pt: Publication Type

rf: Cited References

rv: Reviews

sb: Journal Subset

sh: Subject Headings

si: NLM Serial Identifier

sp: Special Interest Category

st: Series Title

tc: Table of Contents

ti: Title

tw: Text Word

tx: Full Text

vo: Volume

wb: Website

yr: Year of Publication

 

A simple use of field searching:

Have and article and lost first page. Do not know article title or author. Do have the bit of information at bottom of page: abbreviated journal title, volume, issue, pages (first page is the one that is missing), year of publication.

Subject Searching

You can use words you think are useful but does the resource use the same words?
(Web documents had hidden subject terms called Metatags)

Why not get help with ideas? Professional indexers read these items and analyze content. In databases with controlled vocabulary these people assign consistent terminology. Four databases with well structured controlled vocabulary are:

Medline, CINAHL, ERIC, PsycInfo

Medline (PubMed) uses MeSH.

MeSH is NLM's controlled vocabulary used for indexing articles in PubMed. MeSH terminology provides a consistent way to retrieve information that may use different terminology for the same concepts.

http://www.ncbi.nlm.nih.gov/entrez/meshbrowser.cgi

CINAHL uses CINAHL’s MeSH derived headings, enhanced with more nursing concepts and terms, example: concept analysis, nursing interventions

Disadvantages of controlled vocabulary:

Slow to change (also advantage)
Very structured (also advantage)
General (also advantage)
Restricted  

National Library of Medicine - Medical Subject Headings, 2001 MeSH (www.nlm.nih.gov)

Ethics, Nursing

MeSH Descriptor Data

 

Relationships are shown by Tree Stuctures

MeSH Tree Structures

K01

Humanities

 

K01

Humanities

 

N05

Health Care Quality, Access, and Evaluation

K01.316

Ethics

 

K01.752

Philosophy

 

N05.350

Ethics

K01.316.333

Ethics, Professional

 

K01.752.712

Philosophy, Nursing

 

N05.350.340

Ethics, Professional

K01.316.333.266

Ethics, Dental

 

K01.752.712.416

Ethics, Nursing

 

N05.350.340.325

Ethics, Dental

K01.316.333.366+

Ethics, Medical

 

K01.752.712.708

Holistic Nursing

 

N05.350.340.500+

Ethics, Medical

K01.316.333.466

Ethics, Nursing

 

 

 

 

N05.350.340.550

Ethics, Nursing

K01.316.333.566

Ethics, Pharmacy

 

 

 

 

N05.350.340.625

Ethics, Pharmacy

But sometimes the term does not exist in MeSH

Example:

Informatics

2001 MeSH

Term not found

Please select a term from list:
Computational Biology
Bioinformatics
Bio-Informatics
Medical Informatics
Clinical Informatics
Informatics, Clinical
Informatics, Medical
Medical Informatics Applications
Application, Medical Informatics
Applications, Medical Informatics
Informatics Applications, Medical
Medical Informatics Computing
Computing, Medical Informatics
Informatics Computing, Medical

Techniques:

Grow a pearl

Find one article on target. Determine which subject headings have been used. Do a new search using these found terms.

Search broadly

Use keywords in “all fields”, “fulltext”, “Textword” fields.

Combine concepts

SEARCHING TECHNIQUES

BOOLEAN LOGIC 

AND                 Nursing AND Informatics 

Sample CINAHL Search:

1
nursing.mp.
76264
2
informatics.mp.
1012
3
1 and 2
507

 

OR                   (Nursing OR nurses)

Sample CINAHL Search

1
nursing.mp.
76264
2
nurses.mp.
57853
3
1 and 2
19008
4
1 or 2
115109

 

NOT                  nursing NOT nursing homes

Sample CINAHL Search

1
nursing.mp.
76264
2
nursing homes.mp.
4276
3
1 and 2
2849
4
1 or 2
77691
5
1 not 2
73415
6
9 not 2
1427

 

POSITIONAL (phrase searching)

Field limits            Nursing ethics.hw. AND informatics.hw.  

ADJ                  concept ADJ informatics; concept ADJ4 informatics

Adjacent to and within x words
Concept ADJ informatics    Nothing found
Concept ADJ4 informatics    4 records found

NEAR               any order, or, in same field, or in same sentence

WITH                this order, or, same paragraph

 These codes may change depending on database

 

Truncation

Terminal truncation

Nurs*  
Nurse, nurseries, nursery, nurses, nursing

Wom*  
Woman, womb, wombat, women

 

Internal truncation

Wom?n  
Woman, women

P?ediatric  
Paediatric, pediatric  

Truncation symbols are database dependent. Always check help screen for allowed symbols. Common ones are:
    *,    $,    +,    #,    !

Example how a series of these strategies may be used:

Set # Search Query # of references retrieved
1
(concept or conceptual or conceptualization or understanding or understandings or define or defines or defined or definition or definitions or understood).af. [Field searching and Boolean OR]
55226
2
health.af.
268822
3
1 and 2    [refine by field limits]
36175
4
((concept or conceptual or conceptualization or understanding or understandings or define or defines or defined or definition or definitions or understood) adj4 health).af. [field searching, Boolean OR, Positional Operator]
6433
5
health.mp. and 4  [refine by field limits]
4428
6
health.ti. and 4 [refine by field limits]
2536
7
Concept Analysis/  [Subject heading]
439
8
health.mp.
87407
9
7 and 8  [refine by field limits]
128
10
((concept$ or understanding$ or defin$ or understood) adj4 health).af.
7848
11
9 and 10
80

updated: 10/10/01

Helen Hough, MLS
University of Texas at Arlington
Arlington, Texas  76019
Hough@uta.edu