<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="PHL_2009_SADP_v01_EN_M_v01_A_OCS" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_PHL_2009_SADP_v01_EN_M_v01_A_OCS_FAO</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="OCS" affiliation="Food and Agriculture Organization" role="Metadata adapted for FAM">Office of Chief Statistician</producer>
      <producer abbr="EBC" affiliation="Bureau of Agricultural Statistics" role="Documentation of the study">Elizabeth B. Cabrera</producer>
      <producer abbr="CPA" affiliation="Bureau of Agricultural Statistics" role="Documentation of the study">Cesar P. Angcog</producer>
      <prodDate date="">
        <_value></_value>
      </prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>PHL_2009_SADP_v01_EN_M_v01_A_OCS_v01</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Survey of Abattoirs and Dressing Plants 2009</titl>
      <subTitl/>
      <altTitl>SADP 2009</altTitl>
      <parTitl/>
      <IDNo>PHL_2009_SADP_v01_EN_M_v01_A_OCS</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Department of Agriculture (DA)">Bureau of Agricultural Statistics (BAS)</AuthEnty>
    </rspStmt>
    <prodStmt>
      <producer abbr="" affiliation="Department of Agriculture (DA)" role="">National Meat Inspection Service</producer>
      <copyright/>
      <software version="5.0" date="2023-02-17">NADA</software>
      <fundAg abbr="BAS" role="">Bureau of Agricultural Statistics</fundAg>
      <fundAg abbr="NMIS" role="">National Meat Inspection Service</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="Bureau of Agricultural Statistics" URI="http://beans.bas.gov.ph" email="info@bas.gov.ph">Director</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Administrative Records</serName>
      <serInfo>From 1982 until 1991, the Bureau of Agricultural Economics (BAEcon), then the Bureau of Agricultural Statistics (BAS)conducted the survey of animals and birds slaughtered and dressed in abattoirs and dressing plants independent from the then National Meat Inspection Commission (NMIC), now National Meat Inspection Service (NMIS). However, in 1992, under the "Statistical Development and Analysis in Support of the Agribusiness Sector (SDASAS)" Project which was funded from the grant by the United States Agency for International Development (USAID), the BAS-NMIS networking on slaughter statistics was conceptualized and implemented. The NMIS monitors slaughter data from the "A", "AA" and "AAA" accredited abattoirs and dressing plants.The BAS, on the other hand, gathers slaughter data from non-accredited abattoirs and dressing plants or LGU supervised abattoirs and dressing plants.</serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="                   " vocabURI="">Animals slaughtered and birds dressed</keyword>
      <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">Agricultural, forestry and rural industry [2.1]</topcClas>
    </subject>
    <abstract>The SADP is an establishment-based survey, hence it excludes animals slaughtered outside slaughter facility or structure. It covers four (4) major livestock commodities (carabao, cattle, swine and goat), and only broilers for chicken.  It is being conducted in all provinces nationwide with data obtained from a complete enumeration of accredited abattoirs and dressing plants as well as LGU-supervised slaughter facilities. The collection of slaughter data from accredited abattoirs and dressing plants is being undertaken in collaboration with the National Meat Inspection Service (NMIS).</abstract>
    <sumDscr>
      <collDate date="2009" event="start" cycle=""/>
      <collDate date="2009" event="end" cycle=""/>
      <nation abbr="PHL">Philippines</nation>
      <geogCover>National coverage</geogCover>
      <geogUnit/>
      <anlyUnit>Agricultural holdings</anlyUnit>
      <universe>Abattoirs and Dressing Plants</universe>
      <dataKind>Administrative records data [adm]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>The SADP covers four (4) major livestock commodities i.e., carabao, cattle, swine and goat; and only broiler for chicken. It is being conducted in all provinces including NCR with data obtained from a complete enumeration of accredited abattoirs and dressing plants as well as non-accredited or LGU-supervised slaughter facilities.</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>The frame was based on the complete list of accredited abattoirs and dressing plants provided by NMIS and the complete list of LGU-supervised abattoirs and dressing areas with slaughter facility or structure. A complete enumeration of abattoirs and dressing plants is being done.</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face paper [f2f]</collMode>
      <resInstru/>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps>The BAS consolidates data coming from the accredited and non-accredited abattoirs and dressing plants. The BAS reviews and verifies by looking at the available time series data. NMIS is being consulted for any abrupt changes from the previous reference quarter and ask for possible reasons for the changes. The PASO supervises the consolidation and review of slaughter data in the province. The BAS Regional Agricultural Statistics Officer (RASO) supervises the consolidation, review, and analysis of slaughter data in all provinces within the region.

The Provincial Processing Officer (PPO) of BAS is responsible in encoding the outputs from accredited and non-accredited abattoirs and dressing plants using Microsoft Excel. The PASO supervises the electronic processing of slaughter data in the province. The Regional Agricultural Statistical Officer (RASO) supervises the electronic data processing of slaughter data of all provinces in the region to come up with the regional estimates.</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <confDec required="yes" formNo="" URI="">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.</confDec>
      <restrctn/>
      <citReq>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, Survey of Abattoirs and Dressing Plants, Version 1.0 of the licensed dataset (December 2009), provided by the BAS Electronic Archiving and Network Services. http://beans.bas.gov.ph"</citReq>
      <deposReq/>
      <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; and 
9.Breaches of the Data Access Agreement will be taken seriously and the BAS will take action against those responsible for the lapses if willful 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.</conditions>
      <disclaimer>The data users/researchers acknowledge that BAS bears 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.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
