PPT-SIF Data Collection 101 Melissa Marino

Author : lindy-dunigan | Published Date : 2018-03-19

Data Collection Supervisor October 2014 Agenda Status of SIF initiative How to approach reporting via SIF SIF Error Reports overview Common issues SIMS Data Transmission

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SIF Data Collection 101 Melissa Marino: Transcript


Data Collection Supervisor October 2014 Agenda Status of SIF initiative How to approach reporting via SIF SIF Error Reports overview Common issues SIMS Data Transmission with SIF SCS application with SIF. Rajesh Yadav, ICAS. CA, CS & PGPPM from IIM Bangalore. Deputy Commissioner (Finance). The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn, and re-learn.- Alvin Toffler. Patricia H. Marino, PhD, NBCT. www.pathmarkinnovations.com. Copyright October 2010. Three-Story Intellect. 2. Patricia H Marino, PhD, NBCT. There are one-story intellects . Two-story intellects and . 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. 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. November 12, . 2013. presented by the. Office of Educational Information Management. Agenda. Purpose of the collection. Data elements for MSC. Completing the collection. Questions. Purpose of the Collection. 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). CO-Investigator . Samantha . yee. . Collaborator. Dannie . zhabilov. . Principal investigator. Envelope Glycoprotein 120 (gp120) in the Presence of Micro-Gravity. Background. Envelope Glycoprotein. Melissa Marino, Data . Collection Supervisor. June 2018. CONTENTS. 01. Reminders. 02. SIF Expectations for 2018-19. 03. 04. 05. Questions. SIMS, EPIMS & SSDR changes . SIF . s. pecific changes. Contents.

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