Data Sources

Data Sources. AER Division 17 Grant Writing Workshop March 22, 2007. Division 17 Graduate and Enrollment Survey. http://nclid.unco.edu/newnclid/gradSurvey.php. All Personnel Types. Teacher Candidates. New Completers. American Printing House for the Blind.

433 views • 28 slides

Data Sources

Data Sources. Sources , integrati on , qu alit y , error, uncertainty. Data acquisition. Land surveying (geodes y ), GPS Aerial ph oto graphy Satellit e images Laser altimetry Digi t i zing of paper maps Scann ing of paper maps Statistic al data ( e.g. from census bureaus)

494 views • 29 slides

Data Acquisition and Sources of Data

1. Photogrammetry. Photogrammetry is the art and science of determining the position and shape of objects from photographs.object interpretation (What is it? Type? Quality? Quantity) and object measurement (Where is it? Form? Size?). The result of photo-interpretation is the classification of obje

591 views • 34 slides

Sports Data Sources and Data Extraction

408 views • 23 slides

SOURCES OF SECONDARY DATA AND QUALITATIVE DATA ANALYSIS

SOURCES OF SECONDARY DATA AND QUALITATIVE DATA ANALYSIS. Sources of Internal and Proprietary Data.

1.17k views • 75 slides

Data Sources

Data Sources. Health Care Survey of DoD Beneficiaries (HCSDB )

128 views • 1 slides

Data Sources

Data Sources. GW Institute of Public Policy Innovative Data Sources for Regional Economic Analysis. 7-8 May 2012. 1. Use of Patent Data. Patent data contains indicators of I nnovative activity Value of innovation (citations, renewals, litigation)

258 views • 9 slides

Data Sources

Data Sources. Sunny Kaniyathu, Data Services Librarian. RRM 321.3 : Resource Data and Environmental Modeling. Data: Statistics Canada. Single data producer but multiple access points Not every access point provides access to all data Data available for free under DLI License

521 views • 20 slides

Data Sources

Data Sources. The most sophisticated forecasting model will fail if it is applied to unreliable data Data should be reliable and accurate Data should be relevant Data should be consistent Data should be timely. Forecasting Technique .

417 views • 16 slides

LISA Data Analysis & Sources

LISA Data Analysis & Sources. Porter: Detecting Galactic Binaries with LISA. Goal: Calculate number of templates for galactic binaries in the long-wavelength approx for LISA. Each binary has 8 params: nuisance: A, i, f 0 , y templates for: q , f , f, f’ Define metric for overlap

225 views • 11 slides

Data Sources

Data Sources. Almost all experimental data is collected by observing an electrical signal. Data could be a direct electrical signal: Charge hitting a plate. Gamma ray creating electron-hole pairs in a detector. Voltage across a nerve cell.

480 views • 32 slides

Data Sources

Ensuring Solutions to Alcohol Problems Calculator: Impact of Alcohol-related Problems on the Workplace. Data Sources. National Household Survey on Drug Abuse (SAMHSA), 2001 National Comorbidity Survey (NCS: NIMH), 1990 – 1992 National Ambulatory Medical Survey (NCHS: CDC), 2000

237 views • 13 slides

MHS Data Sources – Techniques for Analysis

MHS Data Sources – Techniques for Analysis. Objectives. Describe CHCS Describe the major central repositories that include MTF data Briefly describe the M2 Identify common data quality problems Describe how M2 Standard Reports can be used to manage data quality

1.35k views • 120 slides

Dust: Data and Sources

Dust: Data and Sources. Dr Richard Washington University of Oxford Dr Martin Todd University College London. Prof Andrew Goudie University of Oxford Dr Mike Bithell University of Cambridge. Outline. Dust Data Surface based synops (from GCOS, 117 stations, 3hrly 1980-2000)

762 views • 63 slides

Differential Analysis on Deep Web Data Sources

Differential Analysis on Deep Web Data Sources. Tantan Liu, Fan Wang, Jiedan Zhu, Gagan Agrawal {liut,wangfa,zhujie,agrawal}@cse.ohio-state.edu December 14, 2010. Outline. Introduction Problem Definition Differential Analysis and Approaches Experiment Result Conclusion.

323 views • 18 slides

Data Acquisition and Sources of Data

Data Acquisition and Sources of Data. 1. Photogrammetry. Photogrammetry is the art and science of determining the position and shape of objects from photographs. object interpretation (What is it? Type? Quality? Quantity) and object measurement (Where is it? Form? Size?).

405 views • 23 slides

MHS Data Sources – Techniques for Analysis

MHS Data Sources – Techniques for Analysis. Objectives. Describe CHCS Describe the major central repositories that include MTF data Briefly describe the M2 Identify common data quality problems Describe how M2 Standard Reports can be used to manage data quality Use M2 DQ Standard Reports

1.35k views • 120 slides

Data Types and Data Sources

Data Types and Data Sources. Comp3503 Based on material originally prepared by Luqian Zhu January, 2003. 1 Datum, 10 Data. A datum - any position or element in relation to which others are determined Data is the plural noun for datum, but commonly data is used for both singular and plural.

319 views • 13 slides

Data Sources And Data Views

Data Sources And Data Views. Module 8. Module Overview. Data Sources in SharePoint Viewing and Connecting to Data. Data Sources in SharePoint. Understanding Data Sources Connecting to Data. Understanding Data Sources. Connecting To Data. Viewing And Connecting To Data.

242 views • 10 slides

Data Sources and Programs

Data Sources and Programs. WRF-SI Programs. gridgen_model.exe Purpose: Define the mesoscale simulation domain(s).

168 views • 6 slides

Secondary Data Sources & Secondary Analysis

Secondary Data Sources & Secondary Analysis. Why consider using secondary data sources?. Session Objectives. By the end of the session you will: Understand what secondary data sources are Using quantitative sources in teaching research and issues to consider

387 views • 10 slides

Report Analysis on Data Sources and Patent Family

A patent is a set of exclusive rights given to creator/inventor to exclude others from making a duplicate copy of his/her findings viz. to exclude others from selling, making and using for limited time (usually 20 years).

103 views • 9 slides