Survey of Intellectual Property Management (SIPM)

Detailed information for 2010




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The survey of intellectual property management (SIPM) provides statistical information on the use and management of Intellectual Property (IP) by Canadian enterprises in selected industry groups.

Data release - December 18, 2012


The pilot survey of intellectual property management (SIPM) was funded by the federal Policy Research Data Group (PRDG), under the leadership of Industry Canada. The SIPM data provide a profile of the use of patents, copyrights and trade-marks in Canada and other forms of intellectual property (IP) used by industry. The data will be used in formulating and developing federal policies and programs that are effective and reflective of the business realities of Canadian enterprises.

SIPM collected information from enterprises on the following:

- Portfolio of IP instruments used or owned by businesses such as patents, copyrights and trade-marks;
- Trade and use of patents, copyrights and trade-marks (licensing, royalties, etc.), including non authorized use;
- Revenues from the commercialization of IP;
- Expenses related to the management of IP, and
- Other IP related questions such as research and development activity; importance of patents, copyrights and trade-marks to the ability to secure external funds; and impacts of others' patents, copyrights and trade-marks on R&D, commercialization and funding of the firm.

Data are available for three revenue size groups ($100,000 to $249,999, $250,000 to $4,999,999 and $5,000,000 or greater) and for the following 22 selected industry groups:

Total, selected industries

1) Information and communication technology, life sciences, energy and mining, chemical manufacturing and transportation equipment manufacturing

a) Information and communication technology
- Information and communication technology, except software
- Software

b) Life sciences, energy and mining industries, chemical manufacturing and transportation equipment manufacturing

i) Life sciences
- Pharmaceutical industries
- Life sciences except pharmaceutical industries

ii) Energy and mining industries
- Energy
- Mining

iii) Chemical manufacturing
iv) Transportation equipment manufacturing
- Motor vehicle manufacturing, including motor vehicle body, trailer and parts manufacturing
- Transportation equipment manufacturing except motor vehicle

2) Broadcasting (except Internet), publishing (except software publishers), and motion picture and sound recording

a) Broadcasting (except Internet)
b) Publishing (except software publishers)
c) Motion picture and sound recording industries
- Motion picture and video industries
- Sound recording industries

Reference period: Calendar year; fiscal year ending between April 1 of the calendar year and March 31 of the following year for financial information.


  • Innovation
  • Science and technology

Data sources and methodology

Target population

The target population consisted of Canadian enterprises in nine selected industries groups that were chosen to highlight industries where intellectual property protection in some form would be used. These enterprises may or may not have patents, copyrights and trade-marks or other intellectual property.
The survey units were Canadian enterprises and their operations in Canada.

Selected industry groups

The sample was stratified using nine industry groups composed of multiple NAICS industries. These industry sectors were grouped to optimize summary data:

- Life sciences (NAICS codes 11251, 32541, 334512, 41451 and 54171);
- Information and Communication Technology (ICT) (NAICS codes 33411, 33421, 33422, 33431, 33441, 41731, 41732, 51121, 51711, 51721, 51741, 51791, 51821, 53242 and 54151; excluding 81121 (Electronic and Precision Equipment Repair and Maintenance));
- Software (NAICS codes 51121 and 54151);
- Broadcasting (except Internet) (NAICS codes 51511, 51512 and 51521);
- Publishing (except software publishers) (NAICS codes 51111, 51112, 51113, 51114, 51119, 51911, 51913 and 51919);
- Motion picture and sound recording industries (NAICS code 5121);
- Energy and mining industries (NAICS codes 2111, 2122, 213 and 22111);
- Chemical manufacturing (NAICS codes 3251, 3252, 3253, 3255 and 3259);
- Transportation equipment manufacturing (NAICS code 336).

Instrument design

The instrument for this survey was a paper questionnaire with a mail-out and mail-back collection format. The paper questionnaire was designed by Industry Canada, the Questionnaire Design and Resource Centre (QDRC) of Statistics Canada and Investment, Science and Technology Division (ISTD) of Statistics Canada.

An Interdepartmental Advisory Committee composed of representatives from Industry Canada, Canadian Heritage, Competition Bureau, Canadian Intellectual Property Office, Foreign Affairs and International Trade Canada, and Health Canada, provided input and feedback on the content and frame of the survey.

The questionnaire was tested with the help of Questionnaire Design and Resource Centre (QDRC) of Statistics Canada in Ottawa, Montreal and Toronto in three different phases and in French and English, through one on one interviews with business representatives familiar with intellectual property issues.

A team of university academics were also involved in consultations concerning the questionnaire during the second phase of testing. Their advice was also considered in finalization of the questionnaire.


This is a sample survey with a cross-sectional design.


The frame of this survey was created from the Business Register (BR) at Statistics Canada. The survey frame for the survey consisted of 59,824 units across the nine selected industry groups.


A sample of 3,085 units was selected to represent the population. The units were stratified into nine main industry groups as well as three groups based on their revenue size ($100,000 to $249,999, $250,000 to 1,499,999 and $1.5 million and greater)


The Survey of Intellectual Property Management sample was designed to include external lists of enterprises with known intellectual property management activities as well as a stratified random sample of enterprises from the Statistics Canada's Business Register. Respondents' weights were adjusted to account for their source. Users are advised to employ the data quality indicators when using statistics of low proportions.

A list of businesses whose activities are related to intellectual property was compiled from the Canadian Intellectual Property Office's registries. This list of firms was then combined with enterprises from the selected industry groups on the Business Register. These two lists were merged and the duplicates were removed.

Stratification was completed using the following approach:

1. The population was stratified by the nine selected industry groups and three revenue groups, creating 27 strata.
2. The smallest units within each selected industry group were placed on a "take none" list and excluded from the sample so as to reduce the response burden for the smallest firms (i.e. firms with revenue less than $100,000).
3. For each of the 27 strata, enterprises were divided in two groups: units from the external list and all other units from the selected NAICS industries. These units were weighted separately.

Data sources

Data collection for this reference period: 2011-10-14 to 2012-01-31

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

The data are collected using a paper questionnaire instrument via mail-out, mail-back format.

The pre-contact phase identifies the person most knowledgeable of intellectual property issues to complete the questionnaire.

The data were collected using a paper questionnaire instrument via mail-out, mail-back format. Follow-up phone calls were made for non-response units and failed edits. Efforts were made to convert the non-respondents into a response or at least a partial response. A response rate report was generated and followed-up accordingly.

View the Questionnaire(s) and reporting guide(s) .

Error detection

A computer program was created to systematically detect missing data and to verify the coherence of responses between questions. Some questions were also verified manually to correct coherence problems that the computer program could not. In some instances, respondents were contacted to clarify responses. If respondent confirmation was not obtained, ratios were calculated to validate the response. If the values were considered invalid, the response was imputed.


Based on the error detection program, an imputation program replaced the missing data with data provided by a donor with similar characteristics to the recipient. Partial or total imputations were based on the similarity of characteristics of the respondent and non-respondent, namely industrial category and size. Because of the qualitative nature of most of the questions, hot-deck imputation was used for all of the questions.


To compensate for non-response, a weighting factor was applied to the response homogeneity groups created by sector of activity. This correction factor was used as a final weight when calculating estimations. To calculate variance, the formula for a simple stratified design was used. The strata were created using the response homogeneity groups.

Quality evaluation

Data quality was evaluated in accordance with the quality standards in force at Statistics Canada: data relevance, accuracy, timeliness, accessibility and coherence.

Quality assurance measures were followed at each stage of data collection and analysis to monitor the quality of the data.

Respondents' comments were examined by subject-matter experts with a view to possibly including them in the existing choice of responses. A specific pattern in the comments was not detected.

All tables were examined for anomalies and inconsistencies.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Revisions and seasonal adjustment

This methodology does not apply to this survey.

Data accuracy

Data accuracy was insured by conducting cognitive interviews in both official languages with potential respondents. Their comments were integrated into the final design and wording of the questionnaire.

The data accuracy indicators used for the Survey of Intellectual Property Management (SIPM) are the standard error and the coefficient of variation.

The standard error is a commonly used statistical measure indicating the sampling error of an estimate. The standard error and the coefficient of variation (standard error expressed as a percentage of the estimate) are used in statistical tables to provide an indication of the data quality level of the estimates. Please note that the coefficient of variation (CV) was not calculated for percentage tables.

The results were weighted to reflect the entire count of enterprises in the selected industries. Estimates were vetted for compliance with confidentiality rules. Data quality was assessed in consultation with the methodology team, and when the data were unreliable, they were not published.

The Survey of Intellectual Property Management response rate was 76.8%.

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