In The Name of God, The compassionate, The merciful A Report on Using Mobile Digital Systems in “Industrial Producers Price Index” in Tehran Statistical Center of Iran Feb. 2007ّ Table of contents: Introduction Goals and Objectives Executive procedures of the survey Abstract Introduction to Industrial Producers Price Index Survey Organizational Chart Quality of field workers ( education, training and…) Survey Conduction and supervision procedures ِDefining Work area Feasibility study on different methods of data transfer to the head-quarter An example of the field work Assessment of Data enumerator’s view points Major Results of the survey Introduction Statistical center of Iran has done the best to use Information Technology (IT) available capabilities in the data gathering and data extraction of yearly statistical surveys. Considering the fast changing environment of IT recently a survey conducted by adopting PDA. The aim was to evaluate this technique and hardware capabilities in field work. Major assumptions were the fact that by using PDAs not only the speed and quality of gathered data increases, but also there is a considerable saving on paper-works and questionnaires as well as elevation of IT knowledge in SCI. Goals and Objectives Feasibility study on PDAs capabilities in the field work both for software and hardwares involved. Feasibility study on preparing questionnaires and its data base in PDAs. Study of the procedures of linking GIS software to compile both digital maps and a separate database of the survey. Feasibility study to compile GPS systems with GIS and Survey’s database to upgrade the quality of data by linking Georeferenced data with unique address of the respondents of the survey. Executive procedures of the survey Preparation and building necessary environment for conduction of the pilot project such as: Formation of a experts committee for conduction of the pilot project Selection of GIS programming firm in order to customize the interface and workspace of the PDAs. Preparing questionnaires in digital format Preparing introductory text for field workers Conducting 3 day training course for the field workers. Abstract Introduction to Industrial Producers Price Index Survey Industrial Producers Price Index (IPPI) is currently conducted on a monthly basis all over the nation. In this survey a small questionnaire is prepared for selected industrial production. The questionnaire is comprised of 4 different sections which are as follows: 1- Geographic address of the work shop or factory. 2- Work shop or factory specifications 3- Enumerator’s name, and address 4- Specifications and price of the selected goods in the current month including: name and unit of production, ISIC code of selected goods, price per unit and reasons for its change (if any). Organizational Chart of Pilot Survey Quality of Field workers (education, training and…) • Considering the new aspects of the pilot survey, a group field workers have been selected. This group are mostly youngsters who are well familiar and handy with computer and cell phone as an operator. • Education degree of the field workers - BA / Bs 12 - Technicians 2 - Diploma 6 Content of Training Course: Introduction to IPPI survey Techniques of price acquisition Introduction to using PDAs Introduction to IPPI data gathering software Introduction to GIS software and digital maps Introduction to GPS and work flow of the survey Field work Training (1 full day) Question and answer of the whole training course Training exam and selection of 20 field workers for the survey Survey Conduction and supervision procedures Teaming of the field workers. Assigning a survey district to each field worker. Supervision and Monitoring: - Direct supervision by the members of conducting committee. - Gathering Daily reports as well as finished units of work from all field workers. - On-site and remote problem solving of the field workers. - Data verification and modification by the provincial expert of the survey in at most 12-18 hours STANDING POINT TO LOCATION DATA GHATHERING BY FIELD WORKER محل استقرارآمارگير ثبت نقطه مورد نظر برای آمارگيري فرم مخصوص سرشماري طرح جمع آوري قيمت توليدكننده محصوالت صنعتي جمعآوري دادههاي آماري مرتبط به دادههاي مكاني Questionnaire fill up by the field worker استان شهرستان سال شهر/دهستان ماه رديف كارگاه روز Questionnaire fill up by the field worker آدرس تلفن كارگاه دفتر مركزي Questionnaire fill up by the field worker نام كاال پاسخگو مشخصات كاال قيمت واحد سمت تلفن تغيير قيمت علت تغيير قيمت ورود اطالعات مشخصات كاال مشخصات پاسخگو Questionnaire fill up by the field worker X 546741.91867355 Y 3956273.1871116 T Õ 09:39:23 12/02/2007 Recording Geographic coordination of the statistical unit and questionnaire fill up date and time Delimitation of survey area by work units Map of Work Unit assignment to field workers Feasibility of different methods of data Transfer to the head quarter 1. Data transfer to the head quarter by the field worker 2. Using internet for data transfer i.e.: coffee nets, personal internet access … Internet link on provincial website for remote connection Pictures of some major field activities Field work districts and GPS tracking Field work districts and GPS tracking Field work districts and GPS tracking موقعيت كارگاه Relationship of Address database and GIS maps Relationship of address database, GIS maps and GPS tracking Movement track of the field worker (by GPS) Picture of changed or dislocated workshops Picture of changed or dislocated workshops Relationship of address database, GIS maps, GPS tracking and questionnaire database Results and Outcomes • In addition to large amount of budget cuts, use of PDAs does have an extensive effect on quality of data. • By using intelligent techniques of data gathering, on site verification as well as necessary data modifications and corrections are easily accessible. • By adopting this technique and proper communication infrastructure, on-line monitoring, supervision and problem solving is possible and easy. • To ensure the coverage as well as updating with IT techniques needs preparation of GIS ready maps for address geo-referencing which in turn will exerts huge burden for the mapping unit of SCI. 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