There are a large number of possible field codes to search in CSA's databases. Searchable fields vary from database to database, but some common fields include:
To search using field codes, do not put a space after a field code before the equal sign:
| ti=science |
correct |
| ti= science |
correct |
| ti =science |
incorrect |
| ti = science |
incorrect |
The examples given below apply to most, but not all, databases. Search examples can be performed using Quick Search, Advanced Search, or Command Search.
The best way to learn which field codes apply to a specific database is to look at factsheet for that database; each factsheet contains a list of field codes indexed.
Abstract, AB=
-
The abstract includes key points of the source article. Most records
have abstracts and when available, authors' abstracts are used, although
they may be edited to CSA style. Every word is searchable; however, to
find precisely what you want, use only distinctive words and phrases,
eg:
-
| ab=(global warming) and ab=(north
america or canada) |
Author, AU=
-
This field contains the name(s) of the author(s) of
the source document. Generally, the first 14 authors are listed per record, but in some cases users will find that all authors are indexed. Names are usually in the
format of Author, AB, eg:
Do not attempt to search for suffixes such as "Sr."
or "III" or titles such as "Dr." -- they may not have
been in the original document and even if they were, they are usually
not included at the indexing stage.
Some of the computer science and engineering databases
include first names. Because you will not know before you start searching
whether first names or initials are used, you may want to do a test search
first, display any record and look at the format of the author name. If
first names are included, you can add them to your search, eg:
Another approach is to try entering both initials and
first name. This can be done in either of two ways, eg:
| au=(jackson, tm or jackson, thomas)
|
| au=(jackson, (r or robert) thomas) |
For hyphenated names or initials, enter the name with
the hyphens, eg:
Note: First names and initials are not necessary; it is often sufficient
to search only for a last name.
In some records, an author's name is followed by an
*. This means that the organization and address in the Author Affiliation
field belongs to this author. You cannot search for this * because the
search engine uses this symbol to truncate words.
For patent records, the name in the Author field is
that of the inventor (and the name in the Corporate Author field is the
holder of the patent).
Corporate Author, CA=
-
This is the name of the organization that has produced
the original source document. This field is often present when there is
no personal author field. However, for patent records, the name in the
Corporate Author field is the patent holder (and the name[s] in the Author
field is the inventor). To search this field use the distinctive parts
of the name and do not search for designations such Corp, Co, Company,
Ltd. etc, eg:
| ca=(environmental protection agency)
|
Often, the city and country are also provided; in older
records the following abbreviations may still be seen -- FRG for the former
West Germany; GDR for the former East Germany, and USSR for the former
Union of Soviet Socialist Republics.
The CA= field is not present in METADEX, Engineered
Materials Abstracts (and its component subfiles) and Materials Business
File, where for patent records, it can be inferred that the name in the
Author Affiliation field is the patent holder.
Classification, CL=
-
The classification codes and descriptions are broad subject headings that are specific to various databases. For example, SW 0850 is the classification code used in Water Resources Abstracts to denote that the source document is primarily about lakes. Due to the interdisciplinary nature of much of the material covered, one record may have several classifications. If you are already familiar with the database or have a code from a previous search and wish to find similar records, place the code or descriptive word(s) in the query box, eg:
| cl=(water quality management)
|
Conference, CF=
-
This field provides the name of the conference and where
and when it occurred; it is generally edited to CSA style, eg:
24. Annu. Benthic Ecology Meeting, Columbia, SC (USA), 7-10 Mar
1996
All these words are searchable, but for faster retrieval,
ignore the common words such as "annual or "annu" or "meeting"
and search for the distinctive elements only, eg:
| cf=(benthic ecology and columbia
and 1996) |
| cf=(chlorinated dioxins and japan)
|
Note: you will get the same results if you enter these
statements with parentheses around the selected terms:
| cf=(benthic ecology) and cf=(columbia
and 1996) |
| cf=(chlorinated dioxins) and cf=japan
|
Records retrieved include the papers presented at the
particular meeting and the "master record" for the complete
proceedings. If you just want the master record, use the TI= field as
well, and AND the results together to produce the final result, which
in this case is one retrieved record:
| ti=(benthic ecology and columbia
and 1996) and cf=(benthic ecology and columbia and 1996) |
Note: in pre-1994 conference master records in METADEX
and Engineered Materials Abstracts (and its component subfiles) the CF=
field often contains only the location and date of the conference and
not the name of the conference, which instead, is only to be found in
the Title, TI=, field where it usually does not have the location or date.
To find such records, use conference name words in the TI= field and place
and date in the CF= field, eg:
| ti=(investment casting) and cf=(czech
republic and 1993) |
Descriptors, DE=
-
This field contains indexing terms taken from a thesaurus or controlled vocabulary. These descriptors may be single or multi-word terms and serve as standard ways to describe the subject of the original document. They may refer to very specific items or to general concepts; often the word or term is not to be found anywhere else in the record, including in the title or the abstract, so a descriptor provides another access point or search term for finding information. If you are already familiar with the vocabulary used to index a particular database or can easily refer to it, searching this field retrieves focused results. To search it use DE= and when looking for several multi-word terms, use parentheses around each term and the Boolean
Operator OR between, eg:
| de=(ternary systems) or de=(phase
diagrams) |
Due to the multidisciplinary nature of CSA source material, one record can appear in several databases and has descriptors assigned from different vocabularies. For example, a record in the Biological Sciences database may also "belong" to ASFA and all descriptors are displayed:
DE= sea grass; specificity; Labyrinthula; pathogens; organism; morphology; World Oceans; decomposers; host specificity; seagrasses
In this example, "sea grass" is the descriptor
from the ASFIS Thesaurus, which is used to index the ASFA records,
while "seagrasses" is the descriptor from the CSA Life Sciences
Collection Thesaurus.
Hint: if the term you are looking for could be one word
or two words, singular or plural, use the Boolean
Operators OR between options and use truncation, eg:
| de=(sea grass*) or de=seagrass*
|
Editor, ED=
-
In most CSA databases, editors of books and conference
proceedings appear in this field and are formatted in the same way as
author names, ie, Lastname, AB. Search this field using ED=, eg:
| ed=(Boxshall, GA and Schminke, HK)
|
If the name or names are distinctive you do not need
to include the initials, eg:
| ed=(Boxshall and Schminke) |
Identifiers, ID=
-
This field contains subject terms not included in the
controlled vocabulary but considered by the indexer to be extremely relevant
to the record. They may be single word or multiple word terms. Since identifiers
are not selected from the controlled vocabulary, different synonyms for
the same subject may appear in this field, as well as abbreviations and
acronyms. Also, company names, trademarks, the names of legislative acts,
government policies and new and up-coming methods and procedures are often
assigned as identifiers. Like descriptors, these terms may not appear
in the title or abstract, and therefore serve as additional ways to focus
your search. Use ID= followed by the words you want to look for in parentheses,
eg:
| id=(atomic force microscopy or afm)
|
Hint: although this field is searchable, when you are
looking for something very specific, such as references to the Endangered
Species Act, you will generally get the same results by not restricting
your search to the ID= field; choose 'anywhere' from the drop box of field
codes or simply enter the term(s) in the command line search box. When
there is no field tag specified all fields are searched, eg:
The Identifiers field may have more value when you are
looking for activities or mentions of an organization and you do not want
all fields to be searched, because you may retrieve irrelevant records
where the organization name is, eg, the affiliation of the author or sponsor
of a conference. In these cases, searching the ID=field can be useful:
| id=(World Health Organization or
WHO) |
Keyword, KW=
-
This search strategy simultaneously searches the Title (TI), Abstract (AB), Descriptor (DE), and Identifier (ID) fields.
| KW=(neoliberalism OR globalization) |
| KW=(neoliberalism AND labor) |
| KW=(labor AND wages) AND KW=(globalization OR neoliberalism) |
Because multiple fields are searched simultaneously, results may differ depending on whether or not parentheses are used. For example, in the following keyword search:
-
-
-
KW=bilingual* AND KW=teach*
-
-
equals:
-
-
(TI=bilingual* OR AB=bilingual* OR DE=bilingual* OR ID=bilingual*) AND (TI=teach* OR AB=teach* OR DE=teach* OR ID=teach*)
-
-
where the two searched terms do not have to be in the same fields. This is a broad search.
But in this keyword search:
-
-
KW=(bilingual* AND teach*)
-
-
equals:
-
-
TI= (bilingual* AND teach*) OR AB=(bilingual* AND teach*) OR DE=(bilingual* AND teach*) OR ID=(bilingual* AND teach*)
where the two searched words must occur in the same field. This is a more narrow search than the one above and will retrieve fewer results.
Additionally, the following fields in the databases that have them, will also be searched when Keyword is selected:
-
-
-
AC Acronym
-
-
AK Author Keywords
-
-
CE Collection Title
-
-
CT Conference Title
-
-
MT Monograph Title
-
-
NM Non-Polymer Material
-
-
OD Object Descriptors
-
-
OT Original Title
-
-
P3 Profiles
-
-
SA Subject/Artist
-
-
SV Scope
-
-
SX Supertaxa
-
-
SY Systematics
-
-
T2 Topics
Publication Type, PT=
-
Records are categorized by the generic type, physical form or medium of the original source document, such as "Journal article", "Conference," etc. The following terms are searchable using PT= . Publication types that are not seen frequently are noted, and those marked with an * are only to be found in the CSA High Technology Research Database and its component subfiles:
Abstract [ie, source document is abstract only]
*Announcement [ie, an announcement about a new book] [infrequent]
Bibliography
Book
Book chapter
Computer file [infrequent]
Conference
Conference paper
Dictionary [infrequent]
Dissertation
Drawing [infrequent]
Film [infrequent]
*Handbook [infrequent]
Journal article
Law or statute
Map
Monograph
Numerical data
*Pamphlet [infrequent]
Patent
*Preprint [infrequent]
Report
Review
Sound recording [infrequent]
Standard
Summary [ie, source document is abstract only]
Training manual [infrequent]
*Translation
There can be more than one publication type listed,
so if, eg, you want journal articles that include extensive reviews of
a subject, enter:
Source, SO=
-
This field contains bibliographic citation information. If the record describes a journal article, the source field for most CSA databases contains the abbreviated journal title. To search for a particular journal title you must therefore know the abbreviation name. To find the correct form of the abbreviated name, look in the Serials Source List, which is located in the database’s fact sheet. For example, if you are searching ASFA and want Fish and Fisheries, go to the Serials Source List for ASFA, where you’ll find:
Fish and Fisheries, (Fish Fish.), 1467-2960
Copy “Fish Fish.”(you can use the browser's Edit function) and paste it into the query box, prefaced by the SO= field tag and adding the parentheses because there are multiple words:
For articles published in 1993 or later, the ISSN can be searched. (For “Fish and Fisheries,” or “Fish Fish.”, the ISSN is 1467-2960.) Again, from the Serials Source List search, you can copy and paste to place the actual ISSN number in the query box:
In METADEX, Engineered Materials Abstracts (and its
component subfiles) and Materials Business File, full journal names appear
consistently in records from 1995 onwards. Search for these using the
most distinctive words and omit common terms such as "journal,"
eg:
| so=(materials science and technology)
|
A source need not be a journal article. Conference proceedings also frequently populate the Source field:
SO=Proceedings of the 38th Conference of the International Association of Great Lakes Research
Title, TI=
-
This field contains the title of the source document
in English. Non-Roman titles are transliterated into English as well.
Non-English titles appear in the Original Title, OT=, field.
To search for words that may appear in a document title,
enter distinctive words in the TI= field, eg:
| ti=(gibbs energy and nickel chromite)
|
| ti=(asynchronous transfer mode) |
| ti=(principal components analysis
and dibenzofurans) |
| ti=((organic chlorine or chlorinated
dioxins) and (lake sediments)) |
Hint: when mixing Boolean
Operators OR and AND in the same search statement, it is good practice to enclose the words or phrases in parentheses so the correct terms get ORed and ANDed together. In the last example above, you want to make sure that the "organic chlorine" gets ORed with "chlorinated dioxins" and the result ANDed with "lake sediments" rather than have "chlorinated dioxins" ANDed first with "lake sediments" and then that result ORed with "organic chlorine" - the final retrieved results would contain many irrelevant records that would have nothing to do with lake sediments.