Identification
Survey ID Number
PHL_2006_BAPSCAR_v01_M
Title
Barangay Agricultural Profiling Survey 2006
Subtitle
Cordillera Administrative Region
Country
| Name | Country code |
|---|---|
| Philippines | PHL |
Study type
Agricultural Census [ag/census]
Series Information
The Barangay Agricultural Profiling Survey (BAPS) in Cordillera Administrative Region (CAR) was conducted in August 2006. This was simultaneously conducted in all the provinces under CAR. The BAPS was also conducted in selected regions in the Philippines but with minor revisions in the methodology and questionnaire design based on the experiences in CAR.
BAPS was an improved version of the Barangay Screening Survey (BSS) which was undertaken by the Bureau of Agricultural Statistics (BAS) from 1997 to 1999. The BAPS was designed to collect information on basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the BAPS output would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
BAPS was an improved version of the Barangay Screening Survey (BSS) which was undertaken by the Bureau of Agricultural Statistics (BAS) from 1997 to 1999. The BAPS was designed to collect information on basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the BAPS output would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
Abstract
Basic and current data on agriculture are usually generated through national censuses and surveys. However, data from these sources are too aggregated. Thus, the available data series are deemed inadequate to meet the needs of planners and policy makers of local government units, particularly the cities/municipalities and barangays. What they require are more disaggregated information in analyzing the agricultural situation in their localities.
In response to the felt need for comprehensive, timely and reliable data at the municipal and barangay levels of disaggregation, the Bureau of Agricultural Statistics (BAS) has conceptualized an activity entitled “Barangay Agricultural Profiling Survey (BAPS)”. The BAPS is an improved version of the Barangay Screening Survey (BSS), which was undertaken by the Bureau from 1997 to 1999. The BAPS has been designed to collect information on the basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the output of this inquiry would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
The general objective of the BAPS is to provide the policymakers and other data users with comprehensive agriculture profiles at the sub-national levels. Its specific objectives are: to establish the database on the basic characteristics of agriculture; to assist in the identification of areas suitable for the production and marketing of priority commodities in the province; to provide a common set of updated basic data for use in agricultural development planning at the municipal and barangay levels in support to government programs, particularly those of the Department of Agriculture; and to provide the basis for the updating/construction of new sampling frames for agricultural and fishery surveys.
The data items selected by BAPS include the following: basic barangay characterististics, information on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing, farm machineries/implements, and other information such as associations providing support to farmers, projects implemented in the barangay, major and other sources of livelihood and women's participation in agriculture/fishery related activities.
In response to the felt need for comprehensive, timely and reliable data at the municipal and barangay levels of disaggregation, the Bureau of Agricultural Statistics (BAS) has conceptualized an activity entitled “Barangay Agricultural Profiling Survey (BAPS)”. The BAPS is an improved version of the Barangay Screening Survey (BSS), which was undertaken by the Bureau from 1997 to 1999. The BAPS has been designed to collect information on the basic structure of agriculture and fishery at the barangay level. The output of this activity would be effective inputs to the government in the identification, design and implementation of appropriate development programs and in identification of target beneficiaries. In particular, a very important application of the output of this inquiry would be in the identification of areas suitable for the production and marketing of priority commodities in a province.
The general objective of the BAPS is to provide the policymakers and other data users with comprehensive agriculture profiles at the sub-national levels. Its specific objectives are: to establish the database on the basic characteristics of agriculture; to assist in the identification of areas suitable for the production and marketing of priority commodities in the province; to provide a common set of updated basic data for use in agricultural development planning at the municipal and barangay levels in support to government programs, particularly those of the Department of Agriculture; and to provide the basis for the updating/construction of new sampling frames for agricultural and fishery surveys.
The data items selected by BAPS include the following: basic barangay characterististics, information on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing, farm machineries/implements, and other information such as associations providing support to farmers, projects implemented in the barangay, major and other sources of livelihood and women's participation in agriculture/fishery related activities.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Barangays
Version
Version Description
v1.0 is the barangay level data edited at the provincial level, not anonymized, for internal use.
Version Date
2006-08-01
Scope
Notes
The Barangay Agricultural Profiling Survey (BAPS) - Cordillera Administrative Region (CAR) covered all the major commodities of agriculture and fishery with data items as follows:
Basic Barangay characterististics:
- General geographic terrain
- Land area
- Land use
- Population
- Vulnerability of the barangay to natural calamities
- Number of farming, non-farming and fishing households.
Agricultural Crops Information :
- Cropping calendar, area and yield
- List of plantations
Information on Irrigation:
- Sources of irrigation water
- Potential, service and actual area of irrigation facilities
- Terms of payment of irrigation fee
Livestock and Poultry Information:
- Inventory of livestock and poultry at backyard and commercial farms;
- List of commercial livestock farms
Fishery Information:
- Number of motorized and non-motorized fishing boats
- List of commercial fishing boat operators
- Major fishing gears used
- List of landing centers
- List of aquafarm operators by type of environment, type of farm and farm area
Agricultural Practices:
- Modern agricultural practices;
Marketing Information:
- Availability of market/trading area for agricultural/fishery commodities
- Major commodities traded and their sources and destinations;
Farm Machineries / Other Implements:
- Inventory of farm machineries
Infrastructure and Services:
- Access to post harvest and other facilities
- Access to basic community services;
Other information:
- Associations providing support to farmers
- Projects implemented in the barangay
- Major and other sources of livelihood
- Women's participation in agriculture/fishery related activities.
Basic Barangay characterististics:
- General geographic terrain
- Land area
- Land use
- Population
- Vulnerability of the barangay to natural calamities
- Number of farming, non-farming and fishing households.
Agricultural Crops Information :
- Cropping calendar, area and yield
- List of plantations
Information on Irrigation:
- Sources of irrigation water
- Potential, service and actual area of irrigation facilities
- Terms of payment of irrigation fee
Livestock and Poultry Information:
- Inventory of livestock and poultry at backyard and commercial farms;
- List of commercial livestock farms
Fishery Information:
- Number of motorized and non-motorized fishing boats
- List of commercial fishing boat operators
- Major fishing gears used
- List of landing centers
- List of aquafarm operators by type of environment, type of farm and farm area
Agricultural Practices:
- Modern agricultural practices;
Marketing Information:
- Availability of market/trading area for agricultural/fishery commodities
- Major commodities traded and their sources and destinations;
Farm Machineries / Other Implements:
- Inventory of farm machineries
Infrastructure and Services:
- Access to post harvest and other facilities
- Access to basic community services;
Other information:
- Associations providing support to farmers
- Projects implemented in the barangay
- Major and other sources of livelihood
- Women's participation in agriculture/fishery related activities.
Topics
| Topic | Vocabulary |
|---|---|
| Agriculture & Rural Development | World Bank |
Coverage
Geographic Coverage
Cordillera Administrative Region (CAR) All barangays in CAR
Geographic Unit
Barangay Level
Universe
The survey covered all barangays with areas devoted to agricultural activities such as farming, raising of animals and fishing. Barangays without any farming or fishing activities but with agro-fishery facilities/establishments were likewise enumerated.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Bureau of Agricultural Statistics | Department of Agriculture |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Department of Agriculture - Regional Field Unit , Cordillera Admninistrative Region | DA-RFU, CAR | Funding Source |
Sampling
Sampling Procedure
Not applicable.
Weighting
Not applicable.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-09-01 | 2006-09-30 |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2003-01-01 | 2005-12-31 | Usual Cropping Calendar, and Yield per Hectare |
| 2005-12-31 | 2005-12-31 | Items on calamity and agricultural development programs/projects |
| 2006-09-01 | 2006-09-01 | Inventory Data |
Data Collection Mode
Focus Group [foc] / Face-to-Face, Key Informants
Supervision
The data collectors were closely supervised by the Bureau of Agricultural Statistics (BAS) Provincial Operations Center (POC) staff. To the extent possible, spot checking of all data collectors was done by the supervisors. This was to make sure that errors committed during initial interviews were corrected right on the spot and not carried over to subsequent interviews. The supervisor referred to the spot-checking guidelines prepared for the purpose. Aside from spot checks, follow-up meetings with the data collectors were set by the field supervisor to assess the progress and quality of their work and discussed with them the problems they encountered in data gathering. He/she must see to it that all gray areas were clarified and all the problems encountered as well as the corresponding actions taken during the data collection were documented.
Data Collection Notes
Pre-Test
The pre-test for the survey took place from May 10, 2006 - May 14, 2006 conducted by members of the project team and selected field staff.
Training
Three levels of training was conducted for this activity. The first level was done at the BAS Central Office in Quezon City on August 15, 2006. The training consisted of three parts, namely:
Part 1 - Discussion of the objectives, scope, methods and concepts used in the survey
Part 2 - Discussion of manual editing and coding procedures
Part 3 - Training and hands-on exercises on electronic data processing (data entry, data cleaning and table generation).
The first level training was participated in by the members of the project team and all those who were involved in the field operations. Orientation as to the concepts used in the survey was also included in Part 1. Inputs to Part 2 and 3 included the accomplished questionnaires used in the pre-test and accomplished questionnaires containing hypothetical data. The conduct of these training components allowed the project team as well as the processing team to test the procedures (both manual and electronic) and contributed to the improvement of the system.
The second level training was conducted at the Regional Operations Center (ROC) on August 22, 2006 - August 24, 2006 with the first level training participants serving as resource persons in the discussion of objectives, scope, methods and concepts used in the survey. For this level, participants include the Provincial Agricultural Statistics Officer (PASO) and BAS ROC staff.
The third level training was conducted on August 28 to August 31, 2006. The PASO and Provincial Operations Center (POC) staff conducted the third level training in their respective municipalities of assignment and they served as provincial trainors and supervisors to discuss the objectives, scope, methods and concepts used in the survey. Participants in the training were all the Contractual Data Collectors (CDCs) for the survey.
Field Data Collection
The domain of the study is the barangay. The reference period is calendar year 2005, except for some items, e.g. on calamity, which required different reference period depending on the type of information to be collected. Data gathering was undertaken by contractual data collectors through personal interview of qualified respondents, the key informants (KIs) in the barangay and through a focus group discussion (FGD). The latter also served as a validating mechanism for the data collected.
A KI is a person who may be a resident of the barangay or municipality and who has a considerable degree of knowledge about the barangay and can provide reliable information on at least one area of concern. Among the KIs who may be interviewed for this activity are the following:
· Barangay Chairman
· Barangay Official (preferably the one in charge of agriculture)
· Municipal Agriculture Officer (MAO)
· Agricultural Technician (AT)
· Municipal Planning and Development Officer (MPDO)
· Cooperative Officer
· Market Administrator
· Farmer Leader
· Trader
· Municipal Veterinarian
· Municipal/Barangay Health Worker/Officer
· Fisherman
· Fish Broker
· Landing Center Manager
· Irrigators' Association Officer
· Rural Women's Club Officer
Only one questionnaire was accomplished for each barangay. There was no fixed number of respondents to be interviewed. The number was dependent on the quality and completeness of information provided by KIs. The data collector should see to it that the right persons are interviewed for each major group of items in the questionnaire.
This approach was properly handled in the design of the BAPS questionnaire. At the beginning of each block was a space for three respondents from which the desired data for that block were to be obtained. This information served as a good input during field supervision, and data validation since the source of information will be easily traced.
Administrative records can serve as reference of the KI in answering some items in the questionnaire. In most cases, however, a single response to an item is not enough to put high confidence in the quality of information. Thus, the data collector should interview more than one KI so he/she can capture the information that will best approximate the situation in the barangay. He/She will write the answers of these respondents at the back of the questionnaire and summarize them later on by taking either the average or the mode, depending on which of the two will yield a more realistic data.
Focus group discussion immediately followed after the completion of the questionnaire. In this approach, meetings with the target KIs were set by the data collector and field supervisor with the assistance of the Barangay Chairman or other officials. The objective of the discussion was to validate and firm up the collected information about the barangay. This ensured that all the collected data represented the best estimate of the basic characteristics of the barangay and were acceptable to most, if not all, the KIs.
The list of all barangays taken from the Philippine Standard Geographic Classification (PSGC) were used in the BAPS. This was to ensure that none of the barangays in the province was left out during data collection. The PSGC is a listing of all municipalities and barangays in the country with their corresponding geographic codes being used in the Philippine Statistical System (PSS).
The pre-test for the survey took place from May 10, 2006 - May 14, 2006 conducted by members of the project team and selected field staff.
Training
Three levels of training was conducted for this activity. The first level was done at the BAS Central Office in Quezon City on August 15, 2006. The training consisted of three parts, namely:
Part 1 - Discussion of the objectives, scope, methods and concepts used in the survey
Part 2 - Discussion of manual editing and coding procedures
Part 3 - Training and hands-on exercises on electronic data processing (data entry, data cleaning and table generation).
The first level training was participated in by the members of the project team and all those who were involved in the field operations. Orientation as to the concepts used in the survey was also included in Part 1. Inputs to Part 2 and 3 included the accomplished questionnaires used in the pre-test and accomplished questionnaires containing hypothetical data. The conduct of these training components allowed the project team as well as the processing team to test the procedures (both manual and electronic) and contributed to the improvement of the system.
The second level training was conducted at the Regional Operations Center (ROC) on August 22, 2006 - August 24, 2006 with the first level training participants serving as resource persons in the discussion of objectives, scope, methods and concepts used in the survey. For this level, participants include the Provincial Agricultural Statistics Officer (PASO) and BAS ROC staff.
The third level training was conducted on August 28 to August 31, 2006. The PASO and Provincial Operations Center (POC) staff conducted the third level training in their respective municipalities of assignment and they served as provincial trainors and supervisors to discuss the objectives, scope, methods and concepts used in the survey. Participants in the training were all the Contractual Data Collectors (CDCs) for the survey.
Field Data Collection
The domain of the study is the barangay. The reference period is calendar year 2005, except for some items, e.g. on calamity, which required different reference period depending on the type of information to be collected. Data gathering was undertaken by contractual data collectors through personal interview of qualified respondents, the key informants (KIs) in the barangay and through a focus group discussion (FGD). The latter also served as a validating mechanism for the data collected.
A KI is a person who may be a resident of the barangay or municipality and who has a considerable degree of knowledge about the barangay and can provide reliable information on at least one area of concern. Among the KIs who may be interviewed for this activity are the following:
· Barangay Chairman
· Barangay Official (preferably the one in charge of agriculture)
· Municipal Agriculture Officer (MAO)
· Agricultural Technician (AT)
· Municipal Planning and Development Officer (MPDO)
· Cooperative Officer
· Market Administrator
· Farmer Leader
· Trader
· Municipal Veterinarian
· Municipal/Barangay Health Worker/Officer
· Fisherman
· Fish Broker
· Landing Center Manager
· Irrigators' Association Officer
· Rural Women's Club Officer
Only one questionnaire was accomplished for each barangay. There was no fixed number of respondents to be interviewed. The number was dependent on the quality and completeness of information provided by KIs. The data collector should see to it that the right persons are interviewed for each major group of items in the questionnaire.
This approach was properly handled in the design of the BAPS questionnaire. At the beginning of each block was a space for three respondents from which the desired data for that block were to be obtained. This information served as a good input during field supervision, and data validation since the source of information will be easily traced.
Administrative records can serve as reference of the KI in answering some items in the questionnaire. In most cases, however, a single response to an item is not enough to put high confidence in the quality of information. Thus, the data collector should interview more than one KI so he/she can capture the information that will best approximate the situation in the barangay. He/She will write the answers of these respondents at the back of the questionnaire and summarize them later on by taking either the average or the mode, depending on which of the two will yield a more realistic data.
Focus group discussion immediately followed after the completion of the questionnaire. In this approach, meetings with the target KIs were set by the data collector and field supervisor with the assistance of the Barangay Chairman or other officials. The objective of the discussion was to validate and firm up the collected information about the barangay. This ensured that all the collected data represented the best estimate of the basic characteristics of the barangay and were acceptable to most, if not all, the KIs.
The list of all barangays taken from the Philippine Standard Geographic Classification (PSGC) were used in the BAPS. This was to ensure that none of the barangays in the province was left out during data collection. The PSGC is a listing of all municipalities and barangays in the country with their corresponding geographic codes being used in the Philippine Statistical System (PSS).
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bureau of Agricultural Statistics | BAS | Department of Agriculture |
Questionnaires
Questionnaires
Structured questionnaire was used in the conduct of BAPS. The questionnaire was administered in each barangay to collect various data on basic barangay characteristics including general geographic terrain, land area, land use, population, vulnerability of the barangay to natural calamities, number of farming, non-farming and fishing households. Data on agricultural crops, irrigation, livestock and poultry, fishery, agricultural practices, marketing,farm machineries / other Implements, infrastructure and services, and other information such as associations providing support to farmers, projects implemented in the barangay, major and other sources of livelihood and women's participation in agriculture/fishery related activities were also collected.
The questionnaire was developed in English language.
The questionnaire was developed in English language.
Data Processing
Data Editing
Field Data Processing
Data processing was done at the Provincial Operations Center (POC) in two stages: manual editing and electronic data processing.
Manual editing involved item-by-item checks on the consistency and completeness of the data and data ranges. This was the initial stage where data were judged as acceptable or not based on the situation in the barangay. The supervisors did the manual editing of returns, although the data collector also saw to it that the information collected were complete and acceptable before the questionnaires were submitted to him/her. A set of manual editing procedure facilitated the completion of this activity. The manual editing and coding guidelines document was provided as an external resource.
Electronic data processing was done at the Regional Operations Center (ROC) and POC with the Regional Processing Officer (RPO) and Provincial Processing Officer (PPO) on top of the activity. This involved data coding, encoding, electronic data cleaning and generation of summary statistics. Before the data were submitted for electronic processing, the supervisor saw to it that these data have passed the consistency requirements set in the editing guidelines. Errors that were overlooked in the manual editing were captured in electronic data cleaning. The electronic data processing document was provided as an external resource.
Two types of outputs were generated after the electronic processing stage: the raw data and the summary statistics. Both were used as inputs in the data validation stage of the survey. For this reason, it was recommended that the raw data generated should be in Excel format so that the staff involved can access, examine and correct them as necessary.
The data processing software used was Integrated Micro-Computer Processing System (IMPS) which was developed by the United States Census Bureau.
Data processing was done at the Provincial Operations Center (POC) in two stages: manual editing and electronic data processing.
Manual editing involved item-by-item checks on the consistency and completeness of the data and data ranges. This was the initial stage where data were judged as acceptable or not based on the situation in the barangay. The supervisors did the manual editing of returns, although the data collector also saw to it that the information collected were complete and acceptable before the questionnaires were submitted to him/her. A set of manual editing procedure facilitated the completion of this activity. The manual editing and coding guidelines document was provided as an external resource.
Electronic data processing was done at the Regional Operations Center (ROC) and POC with the Regional Processing Officer (RPO) and Provincial Processing Officer (PPO) on top of the activity. This involved data coding, encoding, electronic data cleaning and generation of summary statistics. Before the data were submitted for electronic processing, the supervisor saw to it that these data have passed the consistency requirements set in the editing guidelines. Errors that were overlooked in the manual editing were captured in electronic data cleaning. The electronic data processing document was provided as an external resource.
Two types of outputs were generated after the electronic processing stage: the raw data and the summary statistics. Both were used as inputs in the data validation stage of the survey. For this reason, it was recommended that the raw data generated should be in Excel format so that the staff involved can access, examine and correct them as necessary.
The data processing software used was Integrated Micro-Computer Processing System (IMPS) which was developed by the United States Census Bureau.
Data Appraisal
Estimates of Sampling Error
Not applicable
Data Appraisal
Data Validation
Multi-level data validation was intended to ensure that the results of this survey are acceptable, reliable and usable. Technical working groups (TWGs) at the municipal and provincial levels were created. The objectives were to thoroughly scrutinize the data and to allow the members of the group to evaluate the consistency of data. Inputs in validation included the raw data, survey questionnaires and summary statistics. Validation materials were prepared by the POC staff who were also responsible in facilitating and documenting the validation process.
The municipal TWG were composed of the BAS POC staff covering the municipality, the MAO, MPDO, Municipal Agriculture and Fishery Council (MAFC) Officer, Farm Cluster Leaders and the President of the Association of the Barangay Chairmen (ABC). The Municipal TWG was responsible in reviewing the results of the survey at the municipal level with barangay disaggregation. They ensured that the changes made during the municipal data validation are reflected in the raw data and in the questionnaires. This further highlighted the importance of the raw data being readily converted to Excel format right after table generation at the POC.
The PASO, the Provincial Agriculturist (PA), Provincial Agriculture and Fishery Council (PAFC) Officer, Provincial Planning and Development Officer (PPDO) to be supported by staff of the Research and Evaluation Division, and the President of the Provincial League of the MPDOs composed the Provincial TWG. The TWG at the provincial level was responsible in examining the results of the survey using the consolidated municipal results. They sent feedback to all municipalities on the analysis of data generated. As in the case of the municipal data validation, it was also important that all changes made in the data as a result of the validation process must be reflected at once to the municipal results and eventually to the raw data and the questionnaires.
On-site validation at each level was conducted by the TWG, especially if there were still unsettled issues and disagreements in the data after the review process.
Multi-level data validation was intended to ensure that the results of this survey are acceptable, reliable and usable. Technical working groups (TWGs) at the municipal and provincial levels were created. The objectives were to thoroughly scrutinize the data and to allow the members of the group to evaluate the consistency of data. Inputs in validation included the raw data, survey questionnaires and summary statistics. Validation materials were prepared by the POC staff who were also responsible in facilitating and documenting the validation process.
The municipal TWG were composed of the BAS POC staff covering the municipality, the MAO, MPDO, Municipal Agriculture and Fishery Council (MAFC) Officer, Farm Cluster Leaders and the President of the Association of the Barangay Chairmen (ABC). The Municipal TWG was responsible in reviewing the results of the survey at the municipal level with barangay disaggregation. They ensured that the changes made during the municipal data validation are reflected in the raw data and in the questionnaires. This further highlighted the importance of the raw data being readily converted to Excel format right after table generation at the POC.
The PASO, the Provincial Agriculturist (PA), Provincial Agriculture and Fishery Council (PAFC) Officer, Provincial Planning and Development Officer (PPDO) to be supported by staff of the Research and Evaluation Division, and the President of the Provincial League of the MPDOs composed the Provincial TWG. The TWG at the provincial level was responsible in examining the results of the survey using the consolidated municipal results. They sent feedback to all municipalities on the analysis of data generated. As in the case of the municipal data validation, it was also important that all changes made in the data as a result of the validation process must be reflected at once to the municipal results and eventually to the raw data and the questionnaires.
On-site validation at each level was conducted by the TWG, especially if there were still unsettled issues and disagreements in the data after the review process.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://beans.bas.gov.ph |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Director | Bureau of Agricultural Statistics | info@bas.gov.ph | http://www.bas.gov.ph |
Confidentiality
The Bureau of Agricultural Statistics (BAS) strictly observes the confidentiality of data. As stated in the BAS' survey questionnaires and the forms relevant to the conduct of any statistical inquiry, data provided by the respondents shall be used solely for statistical purposes.
Access conditions
The datasets of this study are categorized under licensed files. Access to licensed datasets is through request and is only granted to Data Users/Researchers with a legally registered sponsoring agency (university, company, research centre, national or international organization, etc.).
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
The Data Users/Researchers must agree to comply with the following:
1. Fill up a Data Access Agreement that will be provided.
2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the BAS.
3. The data will only be processed for the stated statistical purpose in the agreement and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
4. The dataset must not be made to match with other datasets.
5. The Data Users/Researchers shall not attempt to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made as to the identity of any person or establishment discovered. The identification will not be revealed to any other person not included in the Data Access Agreement.
6. The Data Users/Researchers must observe security measures to prevent unauthorized access to licensed microdata acquired from the BAS. The microdata must be destroyed upon the completion of their research. Destruction of the microdata will be confirmed in writing by the Data Users/Researchers to the BAS.
7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the BAS/BAS Electronic Archiving and Network Services (BEANS) will cite the source of data in accordance with the citation requirement provided with the dataset.
8. If there are any changes or additional requirements in the orginal request, the Data User/Researcher must apply for another request.
9. Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if wilful or accidental. Failure to comply with the directions of the BAS will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The BAS will maintain and share with partner data archives a record of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
Citation requirements
As specified in the agreement under access conditions, users are required to cite the source of data in accordance with the citation requirement provided with the dataset. The citation requirement for this study is as follows:
"Bureau of Agricultural Statistics, Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006 (BAPS-CAR 2006), Version 1.0 of the licensed dataset (August 2006), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
"Bureau of Agricultural Statistics, Barangay Agricultural Profiling Survey - Cordillera Administrative Region 2006 (BAPS-CAR 2006), Version 1.0 of the licensed dataset (August 2006), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"
Disclaimer and copyrights
Disclaimer
The data users/researchers acknowledge that the BAS and the agency funding the study bear no liabilities and responsibilities for any particular, indirect, or consequential damages or any damages, whatsoever resulting from loss of use, or of data in connection with the use or for interpretations or inferences based upon such uses.
Copyright
Copyright 2008-2009 © Bureau of Agricultural Statistics, All rights reserved.
Metadata production
DDI Document ID
DDI_PHL_2006_BAPSCAR_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Demosthenes N. Mistal | DNM | BAS | Documenter |
| Romeo S. Recide | RSR | BAS | Reviewer |
| Maura S. Lizarondo | MSL | BAS | Reviewer |
| Amelia P. Caparas | APC | BAS | Reviewer |
| Accelerated Data Program | ADP | International Household Survey Network | Editing for the IHSN Survey Catalog |
Date of Metadata Production
2009-08-31
DDI Document version
Version 01: Adopted from "DDI_PHL_2006_BAPSCAR_v02_M" DDI that was done by metadata producers mentioned in "Metadata Production" section.