PPT-Data Collection Process: USDOL Data

Requirements Colleges must be able to identify grant participants by program credit amp noncredit I Initial Point of Contact Social Security Number Name and Contact Information. (TSDL). DATAG March 15, 2013. Jami Kogler and Marti Mauro. Take baby steps…. Some History. 2012-13 Standardized time allotted by subject across district, addition of course codes by SED. 2010-11 All elementary buildings implemented specials schedules. 2015 BAH Data Collection Process Gui rocess changes : MHOs now have the ability to add alternate POCs to the MHO Portal. 2. In response to MHO feedback, the interactive map features on the MHO Port School Students with Disability. 2014 Regional Workshop. 2014 Workshop Overview. Background and Purpose. The Data Collection Model. Preparing . for the Data Collection. Step 1 – Identifying students and obtaining consent. Robbyn JF . Abbitt. GIS Coordinator. Dept. of Geography, Miami University. 2015 Ohio GIS Conference. September 21 - 23, 2015 | Hyatt Regency Columbus| Columbus, Ohio. Data Collection Timeline. 2000-2005. Overview. Introduction. Primary data capture. Secondary data capture. Data transfer. Capturing attribute data. Managing a data capture project. Data Collection. One of most expensive GIS activities. Many diverse sources. Superior Children’s Centre – Satellite Meeting. October 15. th. , 2015. Why bother?. Need to report to the Ministry. Good data can answer questions:. Confirm . problems or issues. Change . how we deliver programs, allocate resources, and decide what programs we offer. Overview. This module will give an overview of the proposed process for implementing GLAAS at country level. Data collection will be through Fall 2016. Suggested GLAAS . Process. Decision to participate?. Supporting . Defendable Cost . Estimates. Arlene Minkiewicz, Chief Scientist. PRICE Systems, LLC. arlene.minkiewicz@pricesystems.com. Agenda. Introduction. Historical Prospective on Cost Estimation. Data Driven Estimation and its Importance in the current economic client. Strategies. Forrest . Link . Yuji . Tosaka. Cathy Weng . VALE Annual Users’ Conference . January 4, 2013. Rutgers University. 1. Presenters. Forrest Link. Acquisitions Librarian. The College of New Jersey. UNSD presentation. Overview of the presentation. Growing dependency on technology. Paper-based . vs . electronic data collection approaches. Advantages and disadvantages of . using electronic data collection . UNSD presentation. Overview of the presentation. Paper-based . vs . electronic data collection approaches. Advantages and disadvantages of . using electronic data collection . technologies. Transitioning from paper to electronic data . Graph. Rates of . Return. Efficient Portfolio . Frontier. Regression . CAPM. Finance Ribbon. Use the Finance Ribbon. Download Ribbon.xlam from the website. (use . firefox. or chrome, explorer changes this to an .xlsm file). Michael Biddington, UN ESCAP Statistics Division, . Biddington@un.org. . Introduction. Issues with admin data. Quality Assurance. Solutions . Coverage (ABS). Resources. 2. Common Issues. Collection . Still More Questions Than Answers. Panelists:. Julie Carpenter-Hubin. , Assistant Vice President, Office of Academic Affairs, Office of Institutional Research & Planning, The Ohio State University.