This sample data is also used for data classification via the Data Classification Platform. Sample data is collected and stored when the data source is registered via Jobserver. See Configure the use of sample data via Jobserver.

Sample data can be manually requested for an asset that is registered via the Edge register data source process. The randomly collected sample data is cached on the Edge site for hours. No sample data is stored in the Collibra cloud repository.

The sample data is only displayed to users with the required permissions and if the sample data has been requested. Sample data is not anonymized because having access to the data examples via Edge is based on permissions and the sample data is not stored in Collibra.

For details on the process, go to Understanding the process to display sample data. For details on the sample data limitations and guidelines, go to Limitations and guidelines.

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Use the following options to see the documentation in the latest UI or in the previous, classic UI: Latest UI beta Classic UI. We randomly collect rows from the data source. Users of the NIS should expect a one-time decrease to historical trends for discharge counts of about 4 percent beginning with data year Users should also expect smaller one-time disruptions to historical trends for rates and means estimated from the NIS, beginning with data year For trends analysis using NIS data and earlier, revised weights should be used to make estimates comparable to the new design beginning with data.

These new discharge trend weights replace the earlier NIS Trend Weights that were developed for the NIS following the NIS redesign. The new trend weights are available for download as ASCII files, along with SAS®, SPSS®, and Stata® load programs, under NIS Trend Weights Files from the NIS Database Documentation page on the HCUP-US website.

The report Using the HCUP National Inpatient Sample to Estimate Trends , available on the HCUP-US website under Methods Series , includes recommendations for trends analysis. NIS releases for data years through are available for purchase online through the Online HCUP Central Distributor.

All HCUP data users, including data purchasers and collaborators, must complete the online HCUP Data Use Agreement Training Tool , and must read and sign the Data Use Agreement for Nationwide Databases PDF file, KB; HTML.

Email: HCUP AHRQ. gov Telephone: toll free. The NIS Database is distributed as fixed-width ASCII-formatted data files delivered via secure digital download from the Online HCUP Central Distributor. The files are compressed and encrypted with 7-Zip ©. To load and analyze the NIS data on a computer, users will need the following:.

The data set includes weights for producing national and regional estimates. NIS documentation and tools, including programs for loading the ASCII file into SAS, SPSS, or Stata beginning with , are also available on the NIS Database Documentation page. Home About Need Help?

Do Your own analysis. HCUP Supplemental Files NIS-Trend Weights Files NIS Hospital Ownership Files NIS Discharge-Level Supplemental Files KID-Trend File Cost-to-Charge Ratio CCR Files Hospital Market Structure HMS Files Supplemental Variables for Revisit Analyses American Hospital Association AHA Linkage Files AHRQ Quality Indicators QIs.

REQUEST DATA. DATA QUERY TOOLS. NIS Overview Overview of the National Nationwide Inpatient Sample NIS The National Nationwide Inpatient Sample NIS is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project HCUP.

For more details, see NIS Database Documentation and the Introduction to the NIS, PDF file, 1. Contents: What's New in the NIS? About the NIS NIS Data Elements NIS File Structure NIS Areas of Research and HCUP Publications The NIS and Multi-Year or Trend Analyses Purchase the NIS NIS Hardware and Software Requirements.

The overall number of discharges for data year increased by 3 percent from In the first quarter of , the number of discharges was lower by 7 percent compared to the first quarter of However, discharges in increased 16 percent in the second quarter, 3 percent in the third quarter, and less than 1 percent in the fourth quarter.

The overall in-hospital mortality rate increased from 2. Revisions to how hospitals are defined - the NIS now uses the definitions of hospitals and discharges supplied by the statewide data organizations that contribute to HCUP, rather than the definitions used by the AHA Annual Survey.

Revisions to enhance confidentiality - the NIS now eliminates State and hospital identifiers and other data elements that are not uniformly available across States. Key features of the most recent NIS include: The NIS is drawn from all States participating in HCUP, covering more than 97 percent of the U.

The NIS approximates a percent stratified sample of discharges from U. The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more stable and precise estimates than previous versions of the NIS. The NIS protects patient confidentiality because State and hospital identifiers are no longer provided.

The new NIS retains a large sample size, which enables analyses of rare conditions, uncommon treatments, and special patient populations.

There are three discharge-level files and one hospital-level file: Discharge-level files Core File is a single file containing commonly used data elements e. This file is available in all years of the NIS. Linkage between the discharge-level files Prior to the NIS, the HCUP unique record identifier KEY provided the linkage between the discharge-level files.

Severity File is a single file containing additional data elements to aid in identifying the severity of the condition for a specific discharge.

This file is available beginning with the NIS. Diagnosis and Procedure Groups File is a single file containing additional information on the ICDCM diagnoses and ICDPCS procedures that is created by the Agency for Healthcare Research and Quality AHRQ software tools.

For data years , this file was not available in the NIS. Beginning with data year , this file is available in the NIS and includes data elements derived from the Clinical Classifications Software Refined CCSR for ICDCM diagnoses. Beginning with data year , data elements derived from the Elixhauser Comorbidity Software Refined for ICDCM, the CCSR for ICDPCS procedures, and Procedure Classes Refined for ICDCM are also available in this file.

Hospital-level files Hospital File is a single file containing information on hospital characteristics. Linkage between the Inpatient Core File and the Hospital File Prior to the NIS, the HCUP hospital identifier HOSPID provided the linkage between the NIS Inpatient Core File and the Hospital File.

Additionally, users may wish to review the HCUP Software Tools Tutorial , which provides instructions on how to apply the AHRQ software tools to HCUP or other administrative databases.

As a uniform, multi-State database, the NIS promotes comparative studies of healthcare services and supports healthcare policy research on a variety of topics, including: Utilization of health services by special populations Hospital stays for rare conditions Variations in medical practice Healthcare cost inflation Regional and national analyses Quality of care and patient safety Impact of health policy changes The NIS is used in a variety of publications and online tools: HCUPnet is a free, on-line query system based on data from HCUP.

HCUP Fast Stats is an online query tool that uses visual displays to compare national or State statistics on a range of healthcare topics.

HCUP Statistical Briefs highlight a variety of health topics. Use the HCUP Publications Search Tool to find publications using the NIS. Review featured publications on the HCUP Research Spotlights page.

Read publications by the winners of the HCUP Outstanding Article of the Year Awards.

Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing

Video

Missing Sample data for testing your applications Sample management software designed to easily track lab samples, manage lab workflows and capture laboratory data: Sample collection website database

Completeness involves a World music sample packs of the number Backpacking Gear Samples measurements you originally planned Collectio collect i. Manage More What if the workflow, tasks, data entry Samppe management of multiple studies could be coordinated within a single, integrated environment? Contents: What's New in the NIS? The New York Times : The complete NYT archive can be searched and viewed online, which includes over 13 million articles. Launch a new cluster or migrate to MongoDB Atlas with zero downtime.	It's a significant advancement that promises to redefine how Quality Control Samples The design of a project should include methods for collecting and testing quality control samples; examples include field controls, equipment controls, split samples, replica samples, and spiked samples. Collect Data. If you're in the HR platform business, you can use employee data to improve talent sourcing and talent intelligence. For prior years, the NIS was a sample of hospitals.	Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing	Sample data is a set of randomly collected data from a data source. site for hours. No sample data is stored in the Collibra cloud repository. The Whether you need filler data for a project mockup or accurate information on a specific topic, these databases can help you out Recently I found a useful set of Base tutorials by Jack Wallen on the TechRepublic site. I link to the final one, as it has links to previous entries in the	Web data collection is a complex process that entails many technical and legal challenges. We've covered all there is to know about it The sample data library lets you reuse sample dynamic data sets across projects in Google Web Designer. Once you've imported a data feed or created a set of Whether you need filler data for a project mockup or accurate information on a specific topic, these databases can help you out
Typically, notes of visual and Trial product offers observations should be recorded in a Col,ection book to describe, for example, the depth of each sample, whether its color and Swmple, any Backpacking Gear Samples, Sam;le. For example: [8] Sample collection should be documented e. The focus of this chapter is to help you generate high quality information. Launch a new cluster or migrate to MongoDB Atlas with zero downtime. Evaluate the data After collecting the data, you will need to evaluate its quality and legitimacy to ensure a successful artificial intelligence or machine learning model.	Included fields are:. More Categories. Can I customize my fields in Sample Manager? It offers access to over two petabytes of information, including datasets from the Large Hadron Collider particle accelerator. Training data : This is a large dataset used in MongoDB training courses.	Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing	site and, using sterile/unused equipment, collect a second specimen. Also, use data used on this website, and promote our products and services. We also Sample management software designed to easily track lab samples, manage lab workflows and capture laboratory data Recently I found a useful set of Base tutorials by Jack Wallen on the TechRepublic site. I link to the final one, as it has links to previous entries in the	Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing
Intro to Data Analytics. Dqtabase Web : A Collectkon of col,ection and data providers Savings on international pantry staples information dollection via APIs. Sample Manager Frequently Sample collection website database Questions Does Sample Manager come with support services? Solutions Library Organized and tailored solutions to kick-start projects arrow-right. Custom fields can be used for a variety of uses including tracking shipments and QC status. Since October 1, RISC Enterprise Research Applications, ERA, manages an enterprise license for LabArchives for all researchers to use at no cost. Please enable Strictly Necessary Cookies first so that we can save your preferences!	Footer Datafloq is the one-stop source for big data, blockchain and artificial intelligence. Information Use Resources Supplement 1: Public Rights to Information About Chemical Storage and Releases Supplement 2: Using Citizen Science Data in Litigation 50 State Map Glossary Questions and Answers. Enable All Reject All Save Changes. Datafloq is the one-stop source for big data, blockchain and artificial intelligence. Diagnosis and Procedure Groups File is a single file containing additional information on the ICDCM diagnoses and ICDPCS procedures that is created by the Agency for Healthcare Research and Quality AHRQ software tools.	Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing	Sample management software designed to easily track lab samples, manage lab workflows and capture laboratory data Recently I found a useful set of Base tutorials by Jack Wallen on the TechRepublic site. I link to the final one, as it has links to previous entries in the Sample data for testing your applications	Collecting multiple independent samples from a single site at roughly the same time in the same manner (i.e., “replica” samples) and analyzing the samples at 1. Google Dataset Search · 2. Kaggle · 3. boking.info · 4. boking.info · 5. UCI Machine Learning Repository · 5. Earth Data · 6. CERN Open Data Portal · 7 Sample management software designed to easily track lab samples, manage lab workflows and capture laboratory data

Sample collection website database - Whether you need filler data for a project mockup or accurate information on a specific topic, these databases can help you out Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing

Phone and fax numbers are random, but the area code and exchange for each are correct for their location. Records are in random order and cover the countries with a more or less even distribution.

Import-ready CSV files, no weird characters, escaped characters, or anything else funky to screw things up. Files are provided as CSV.

FileMaker Custom Functions ZIP Code API Error Codes Contact. Free Sample Data for Database Load Testing. Email and Web addresses are fake but properly formatted for their country. This is fake data — not actual customers or businesses. US - Records. Free - Download Now. For example, the elimination of hospital identifiers means that hospital linkages can no longer be done with the NIS and the sampling of discharges means that analyses relying on a census of discharges from sampled hospitals e.

hospital volume analysis can no longer be performed. Because inpatient data are available for many individual States through the HCUP Central Distributor, state inpatient data can be used for those analyses that require a census of discharges from individual hospitals, local market areas, and States.

For a detailed description of the NIS redesign, please see the NIS Redesign Report. For more details on the NIS, see the Introduction to the NIS, PDF file, 1.

The NIS contains clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals as required by data sources.

It contains clinical and nonclinical data elements for each hospital stay, including:. As a uniform, multi-State database, the NIS promotes comparative studies of healthcare services and supports healthcare policy research on a variety of topics, including:.

Spanning more than 20 years of data, the NIS is ideal for longitudinal analyses. However, the database has undergone changes over time, including the sampling and weighting strategy used.

Users of the NIS should expect a one-time decrease to historical trends for discharge counts of about 4 percent beginning with data year Users should also expect smaller one-time disruptions to historical trends for rates and means estimated from the NIS, beginning with data year For trends analysis using NIS data and earlier, revised weights should be used to make estimates comparable to the new design beginning with data.

These new discharge trend weights replace the earlier NIS Trend Weights that were developed for the NIS following the NIS redesign.

The new trend weights are available for download as ASCII files, along with SAS®, SPSS®, and Stata® load programs, under NIS Trend Weights Files from the NIS Database Documentation page on the HCUP-US website.

The report Using the HCUP National Inpatient Sample to Estimate Trends , available on the HCUP-US website under Methods Series , includes recommendations for trends analysis.

NIS releases for data years through are available for purchase online through the Online HCUP Central Distributor. All HCUP data users, including data purchasers and collaborators, must complete the online HCUP Data Use Agreement Training Tool , and must read and sign the Data Use Agreement for Nationwide Databases PDF file, KB; HTML.

Email: HCUP AHRQ. gov Telephone: toll free. The NIS Database is distributed as fixed-width ASCII-formatted data files delivered via secure digital download from the Online HCUP Central Distributor.

The files are compressed and encrypted with 7-Zip ©. To load and analyze the NIS data on a computer, users will need the following:.

The data set includes weights for producing national and regional estimates. NIS documentation and tools, including programs for loading the ASCII file into SAS, SPSS, or Stata beginning with , are also available on the NIS Database Documentation page.

Home About Need Help? Do Your own analysis. HCUP Supplemental Files NIS-Trend Weights Files NIS Hospital Ownership Files NIS Discharge-Level Supplemental Files KID-Trend File Cost-to-Charge Ratio CCR Files Hospital Market Structure HMS Files Supplemental Variables for Revisit Analyses American Hospital Association AHA Linkage Files AHRQ Quality Indicators QIs.

REQUEST DATA. DATA QUERY TOOLS. NIS Overview Overview of the National Nationwide Inpatient Sample NIS The National Nationwide Inpatient Sample NIS is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project HCUP. For more details, see NIS Database Documentation and the Introduction to the NIS, PDF file, 1.

Contents: What's New in the NIS? About the NIS NIS Data Elements NIS File Structure NIS Areas of Research and HCUP Publications The NIS and Multi-Year or Trend Analyses Purchase the NIS NIS Hardware and Software Requirements. The overall number of discharges for data year increased by 3 percent from Python for Web Developers.

Cloud Computing for Web Devs. Machine Learning with Python. Data Visualizations with Python. Our career-change programs are designed to take you from beginner to pro in your tech career—with personalized support every step of the way.

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Data Visualizations with Python new. More Categories. See our blog categories. Wondering where to find free and open datasets for your next data project? Look no further…. Not to worry.

Fortunately, the Internet is awash with these, most of which are completely free to download thanks to the open data initiative. Prefer to watch this information over reading it? Check out this video on dataset resources , presented by our very own in-house data scientist, Tom!

Type of data: Miscellaneous Data compiled by: Google Access: Free to search, but does include some fee-based search results Sample dataset: Global price of coffee, present. It seems we turn to Google for everything these days, and data is no exception.

Sample collection website database - Whether you need filler data for a project mockup or accurate information on a specific topic, these databases can help you out Sample data for testing your applications This database was prepared using a combination of materials that include aerial photographs, topographic maps (, and ,), field notes Missing

Cloud Computing for Web Devs new. Machine Learning with Python new. Data Visualizations with Python new. More Categories. See our blog categories. Wondering where to find free and open datasets for your next data project?

Look no further…. Not to worry. Fortunately, the Internet is awash with these, most of which are completely free to download thanks to the open data initiative. Prefer to watch this information over reading it? Check out this video on dataset resources , presented by our very own in-house data scientist, Tom!

Type of data: Miscellaneous Data compiled by: Google Access: Free to search, but does include some fee-based search results Sample dataset: Global price of coffee, present. It seems we turn to Google for everything these days, and data is no exception. Type of data: Miscellaneous Data compiled by: Kaggle Access: Free, but registration required Sample dataset: Daily temperature of major cities.

Kaggle launched in with a number of machine learning competitions, which subsequently solved problems for the likes of NASA and Ford. Type of data: Government Data compiled by: US Federal Government Access: Free, no registration required Sample dataset: Lobster Report for Transshipment and Sales.

In , the US Government made all its data publicly available. With over , datasets covering everything from climate change to crime, you can lose yourself in the database for hours. For a government website, it has some surprisingly user-friendly search functions, including the ability to drill down by geographical area, organization type, and file format.

Search results are also clearly labeled at federal, state, county, and city levels. Type of data: Mostly business and finance Data compiled by: Datahub Access: Mostly free, no registration required Sample dataset: Average mass of glaciers since The goal of many data analysts is to help drive savvy business decisions.

As such, using economic or business datasets for your portfolio project might be worth considering. While Datahub covers a variety of topics from climate change to entertainment, it mainly focuses on areas like stock market data, property prices, inflation, and logistics.

Type of data: Machine learning Data compiled by: University of California Irvine Access: Free, no registration required Sample dataset: Behavior of urban traffic in Sao Paulo, Brazil.

Enter the UCI Machine Learning Repository. Datasets are clearly categorized by task i. classification, regression, or clustering , attribute i. categorical, numerical , data type, and area of expertise. Type of data: Earth science Data compiled by: NASA Access: Free, no registration required Sample dataset: Environmental conditions during fall moose hunting season in Alaska, look no further than Earth Data.

Who knows, you might even make a scientific discovery…. Type of data: Particle Physics Data compiled by: CERN Access: Free, no registration required Sample dataset: Higgs candidate collision events from and Want to demonstrate your ability to work with highly complex datasets?

Head to the CERN Open Data Portal. It offers access to over two petabytes of information, including datasets from the Large Hadron Collider particle accelerator. In many cases, they even provide sample code to get you started thanks, CERN! Type of data: Health Data compiled by: UN World Health Organization Access: Free, no registration required Sample dataset: Polio immunization coverage estimates by region.

Not strictly necessary, but definitely nice to have! Type of data: Entertainment and film Data compiled by: British Film Institute Access: Free, no registration required Sample dataset: Weekend box office figures from present. First off: the British Film Institute industry statistics.

Throughout the year, the BFI accrues and releases data on everything from UK box office figures, to audience demographics, home entertainment, movie production costs, and more. The best part, though, is their annual statistical yearbook.

Type of data: Transport Data compiled by: New York City Taxi and Limousine Commission Access: Free, no registration required Sample dataset: Take your pick! This is a weirdly fascinating one…since , the NYC Taxi and Limousine Commission has been accruing transport data from across New York City.

The site also provides some additional tools, including user guides, taxicab zone maps, data dictionaries for explaining the spreadsheet labels , and annual industry reports.

Type of data: Crime and drugs Data compiled by: Federal Bureau of Investigation Access: Free, no registration required Sample dataset: Homicide offense counts in Point Pleasant, It provides a broad collection of crime statistics from a variety of state organizations universities and local law enforcement and government on a local, regional, and state-level.

Pull data on hate crimes, officer assaults, homicides, and more. Like the last couple of entries on our list, it also includes some helpful user guides to support data navigation.

Courses Learn with us Our graduates Online Events Blog Login. Judgmental sampling, as its name implies, involves the selection of sampling locations based on judgment. Judgmental sampling is most useful when there is historical or physical knowledge of the feature or condition under investigation: for example, when the impact of the pollutant can be visually discerned or when the location of pollutant release is known.

Ultimately, the sampling design should match the needs of the project with the resources available e. A well-designed sample collection methodology helps ensure the precision and accuracy of the information that is ultimately generated. The primary question addressed by a sample collection methodology is: how will samples be collected during each sampling event e.

The answer to this question may include, among other things, a description of: i the number of samples to be collected during each sampling event i. Some aspects of sample collection methodologies are highly generalizable across projects.

For example: [8]. For example, air sample collection methodologies are generally highly specific to the instrumentation used. Water samples should be collected with as little agitation to the water as possible.

Wading or streamside sampling increases the probability of agitation. In instances when agitation is a concern, samples should be collected while facing upstream.

Moreover, water sample containers should be filled to their capacity i. Unpreserved and preserved samples have holding times of one week and two weeks, respectively. Holding times indicate the period during which the samples should be tested. The alternate shoveling method involves placing a spoonful of soil in each container in sequence and repeating until the containers are full or the sample volume has been exhausted.

Sample collection methodologies may also contemplate other ways of documenting sample collection. For example, a methodology could direct volunteers to photograph, videotape, or otherwise record the actual sample collection to demonstrate that the activity complies with the sample collection methodology.

Typically, notes of visual and olfactory observations should be recorded in a log book to describe, for example, the depth of each sample, whether its color and texture, any odors, etc.

The log can also be used for demonstrating sample handling and custody and any field analyses of the samples. Precision and accuracy are the main information quality concerns addressed by the establishment of sample handling procedures. These procedures apply to projects that do not perform sample analysis in the field.

In these instances, the samples must be transported to an alternative site , such as a laboratory. Chain-of-custody procedures should be established to keep track of all samples that will be shipped or transported to a laboratory for analysis i.

This information is important for authentication of any information generated by analysis of the samples discussed in Chapter 2.

Analysis of samples may occur in the field or in a laboratory. In either case, the analytical methods and equipment used in the analysis should be documented. In addition, documentation of instrumental calibration, inspection and maintenance should be provided.

These procedures promote precision and accuracy of the data. Generally, analytical tools that are EPA approved are documented in the Federal Register. In some instances, the EPA provides lists of analytical tools that are EPA-approved when used in specific contexts. The design of a project should include methods for collecting and testing quality control samples; examples include field controls, equipment controls, split samples, replica samples, and spiked samples.

Because the abundance of the analyte i. pollutant is known in each of these control samples, they are useful in assessing the precision and accuracy of the data that is ultimately generated. The project design should include considerations of how the data generated from sample analysis will be interpreted.

It is from this interpretation that conclusions will be drawn. In some instances, you, the citizen scientist, may be able to interpret the data. However, as mentioned in Chapter 2 , some uses of information generated from your project will require expert interpretation.

When data is interpreted by a qualified expert, the quality of the information is enhanced. There are likely to be qualified experts in your community who are willing to assist you.

Think about universities, community colleges, high schools, and locally-based environmental engineering companies. Previous Chapter Next Chapter. Protection Agency, CIO pdf ; see also Frequently Asked Questions: Quality Assurance Project Plans , U.

last visited June 1, ; Quality Assurance Handbook and Guidance Documents for Citizen Science Projects , U. last visited June 1, Protection Agency, Quality Assurance Template for Citizen Science Projects Apr. pdf ; U. Protection Agency Region 4, SESD Operating Procedure: Soil Sampling, SESDPROCR3 Aug.

Protection Agency Region 4, SESD Operating Procedure: Surface Water Sampling, SESDPROCE3 Feb. Protection Agency Region 4, SESD Operating Procedure; Groundwater Sampling, SESDPROCR3 Mar. Protection Agency, List of Designated Reference and Equivalent Methods Dec.

at View the discussion thread. The Citizen Science Manual A Guide for Starting or Participating in Data Collection and Environmental Monitoring Projects.

Introduction 1. Identifying your Project's Focus and Designing its Approach 2. Identifying Project Goal 3. Public Information 4.

Potential Liability 5. Information Generation - Design of Sample Collection, Sample Analysis, and Data Interpretation Methodologies Assessing Information Quality Quality Assurance Protection Plan Guidelines 6.

Information Use Resources Supplement 1: Public Rights to Information About Chemical Storage and Releases Supplement 2: Using Citizen Science Data in Litigation 50 State Map Glossary Questions and Answers.

Search form Search. Information Generation - Design of Sample Collection, Sample Analysis, and Data Interpretation Methodologies Why You Should Read this Chapter : Most citizen science projects that you join or initiate will require generating information that was previously uncollected, unknown, unreported, or unestablished in the realm of public knowledge.

Making Connections Between Chapters : Before designing your data collection, sample analysis, or data interpretation methodologies, it is helpful to review key points from the preceding chapters: What is your site of interest and which pollutant or combination of pollutants will you be examining?

discussed in Chapter 1. Who will use the information you collect and for what purpose? What is known about the pollutant or combination of pollutants you will be examining?

discussed in Chapter 3. What is already known about the source of the pollutant of which you are concerned? What are potential sources of liability to which you might be exposed when collecting the information e.

discussed in Chapter 4. Assessing Information Quality Indicators of Quality Data Precision Accuracy Representativeness Completeness Comparability Instrumentation When you present information that you have collected or generated e.

For example, if you are collecting samples to determine the typical concentration of a pollutant in a stream, the following factors could bias your results: How: the samples were collected with unclean tools.

Sampling Design Sampling design includes considering the types of samples that will be collected and when and where they will be collected. Sample Collection Methodology A well-designed sample collection methodology helps ensure the precision and accuracy of the information that is ultimately generated.

For example: [8] Sample collection should be documented e. The gloves should not come in contact with the media being sampled and should be changed any time during sample collection when their cleanliness is compromised.

control samples shall be collected and placed in separate ice chests or shipping containers. Sample Handling and Custody Precision and accuracy are the main information quality concerns addressed by the establishment of sample handling procedures.

Sample Analysis Analysis of samples may occur in the field or in a laboratory. Quality Control Samples The design of a project should include methods for collecting and testing quality control samples; examples include field controls, equipment controls, split samples, replica samples, and spiked samples.

While regular sample containers are filled with air, water, or soil from the field, a field control is filled in the same way but with air, water or soil with a known composition that is brought to the site.

If preservation steps are performed to the field samples, they should likewise be performed on the field control sample. Equipment controls are samples used to verify the cleanliness of sample collection or analysis equipment. A split sample is one that is divided into two or more sample containers and subsequently analyzed independently.

Replica samples or duplicate samples are samples that are collected and analyzed at the same time and in tandem i. Spiked samples are samples to which a known amount of the analyte has been added. Data Interpretation The project design should include considerations of how the data generated from sample analysis will be interpreted.