AIM Timelines, Tools, and Support. AIM Roles and Responsibilities Policy, Program, and WO Budget—Gordon Toevs Implementation—National Operations Center.

Slides:



Advertisements
Similar presentations
Program and Implementation. Plans for the next 90 minutes and beyond! Define quality assurance for a program Implementation plans Utilization of.
Advertisements

Moving to a Centralized Database for Surveys in Blaise at NASS Roger Schou National Agricultural Statistics Service IBUC XII Riga, Latvia.
Quality Assurance Documentation Procedures and Records Stacy M. Howard, MT(ASCP)
Working with Citizen Scientists: Rogue Basin (Oregon) Watershed Councils Stream Biomonitoring Study Michael Mulvey Oregon Department of Environmental Quality.
Workload Analysis (WLA). Rationale  To develop a work plan, you must have some realistic time estimates of what you can do within the time to be planned.
Dr Samah Kotb Lecturer of Biochemistry 1 CLS 432 Dr. Samah Kotb Nasr El-deen Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Nasr.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
Multi-Agency Radiological Laboratory Analytical Protocols Manual: MARLAP Presentation to the Radiation Advisory Committee/Science Advisory Board April.
QA/QC FOR ENVIRONMENTAL MEASUREMENT
Netcen 14. UK Experience of Implementing the UNFCCC CRF Reporter John Watterson & Melissa Downes.
TAX-AIDE Certifications Policy Manual - OneSupport [General Program Management][General]
PTCS Service Provider Review 0 Background RTF assumed responsibility for maintaining PTCS specifications in March 2003  Developed PTCS Service Provider.
Training of Process Facilitators Training of Process Facilitators.
November 27, 2007Pebble Project Agency Meetings Pebble Project Data Management Data Management Responsibilities Ensure complete and accurate field and.
Communities of Excellence in Nutrition, Physical Activity, and Obesity Prevention (CX 3 ) Data Collection Guidelines and Next Steps CX 3 CX 3 Tier 2 Training.
Dorcas Nabukwasi H Uganda Bureau of Statistics 29 th April, 2013 Dakar.
Guidelines for NHANES Research Proposal Submission by Natalie Dupree Margaret McDowell.
MICS Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Overview of MICS Tools, Templates, Resources, Technical Assistance.
STRATUM Data Collection and Analysis: Baltimore. Baltimore’s 2007 Sample Survey Background TreeBaltimore Why a survey? Why a sample? Why iTree?
Introduction The past, the present and the future.
Quality Control/ Quality Assurance Annabelle Allison ITEP/TAMS Center.
The Career and Technical Education (CTE) Master Schedule Collection, Student Record Collections, CTE Annual Performance Report and Data Analysis Report.
October Project Aims related to Monitoring and QA/QC Overall Aim To assess the quality and variety of air quality data collected across Scotland.
Data Management Practices for Early Career Scientists: Closing Robert Cook Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN.
Harnessing the carbon market to sustain ecosystems and alleviate poverty Monitoring of AR Projects Monitoring of AR Projects BioCarbon Fund Training Seminar,
Quality Strategy June 10, 2009 Presented by: Debby McNamara, LCSW, PMP Quality Coordinator, AHCA.
Good Practice for monitoring plans Viewpoint of a DOE Marco van der Linden, SGS Climate Change Programme
Capital Budget System (CBS) Agency Training 1. Introductions… Name Name Agency Agency Capital Budget System Role Capital Budget System Role Goals for.
Standard 4 – Inspection Audit Program
QUALITY ASSURANCE/QUALITY CONTROL
Waterwatch Victoria QA/QC Week What is QA/QC Week? Mystery samples (2 ranges) for pH, EC, turbidity and orthophosphates and macroinvertebrates (6.
Statistical Expertise for Sound Decision Making Quality Assurance for Census Data Processing Jean-Michel Durr 28/1/20111Fourth meeting of the TCG - Lubjana.
Project Management Process Transition & Closure Project Management Process Project Description Team Mission/ Assignment Major Milestones Boundaries Team.
Quality control and audit visit: process & actions.
Biochemistry Clinical practice CLS 432 Dr. Samah Kotb Lecturer of Biochemistry 2015 Introduction to Quality Control.
The Swedish air emission inventory system Karin Kindbom IVL Swedish Environmental Research Institute Russian-Swedish bilateral cooperation project: “Development.
November 17, 2008Pebble Project Agency Meetings Pebble Project Data Management Data Management Responsibilities Ensure complete and accurate field and.
Oregon Project Independence Pilot Project Quality Assurance Process.
EPA’s WET Interlaboratory Variability Study Findings Marion Kelly USEPA Office of Science & Technology Office of Water.
AIM Training. 4 Types of Training Webinars and Online Resources Train the Trainer – State/regional field methods instructors.
Public Libraries Survey Data File Overview. What We’ll Talk About PLS: Public Libraries Survey State level data Public library data (Administrative Entities)
Preparing and Submitting PS&E Packages What does ODOT need? Local Agency Project Delivery Conference May 2 & 3, 2006.
U.S. Department of the Interior U.S. Geological Survey Stewardship of the National Hydrography Dataset Elizabeth McCartney National Geospatial Technical.
Jennifer L. Burke MOJN Protocol Data Manager Bob Truitt MOJN Data Manager Dana Robinson GIS Specialist.
ASPEC February 2015 Incidents –0 incidents, 0 near misses Hours 31/01/15-27/02/15 11% Site, 1% Travel, 88% Office ASPEC QSHR February 2015 Minutes.
Using Tableau Public as a “Sustainable” Platform for Conservation Monitoring & Reporting How to Build and Deploy a Dashboard in.
1-2 Training of Process FacilitatorsTraining of Coordinators 7-1.
Introduction to FFI: Why and how FFI was developed Introduction to FFI: Why and how FFI was developed 04/02/2013.
Career and Technical Education End-of-Year CTE Data Collection Data Accountability Video Training Session.
Data Coordinating Center University of Washington Department of Biostatistics Elizabeth Brown, ScD Siiri Bennett, MD.
CAP Communications Equipment Management – Squadron Level CAP Communications Equipment Management Developed by: Capt Karl Falken SWR-TX
Site Activity (Program Metrics) Training
Building Processes for Conducting and Managing Data Collection
Step0. Plan HTP Experiment
Overview of Quality Assurance
2000 POPULATION AND HOUSING CENSUS:
DWR QA Program website:
Employment Webinar: Employment Coordinator Role
Management of Oman Census2010
Spatially Balanced Sample Design Tool
Getting Started with DIMA
CAS Implementation Update
Project Development Quality Program QA/QC – What does ODOT need?
Customer Research BCE.
Quality Assurance Documentation
E-Collaboration Supply Chain Interlock (ESI) The Collaboration Tool of your choice. SPEX presentation March, 2007.
The technical formats/tools for reporting under BWD Agenda item 4
Monitoring for Adaptive Management BLM’s National Assessment, Inventory, and Monitoring Strategy Part information, part soapbox, part sales pitch Photo:
The samples and the Error
National Visitor Use Monitoring
Presentation transcript:

AIM Timelines, Tools, and Support

AIM Roles and Responsibilities Policy, Program, and WO Budget—Gordon Toevs Implementation—National Operations Center (Emily Kachergis, terrestrial lead and Scott Miller, aquatics lead) Training, Study Design—ARS Jornada, USU/NAMC (Jason Karl and Sarah McCord, Scott Miller) State Program, Budget, Coordination—State AIM Leads Office Project Coordination and Budget—Project Leads

AIM Project Contacts Planning and Funding Design Baili Foster Project Evaluation Analysis and Reporting Emily Kachergis Data Collection and QA QC and Ingestion Sarah Burnett

AIM Project Design Worksheet and Process Model

BLM National Operations Center Enterprise database Monitoring Manual and Technical References Data capture and storage with DIMA/SARAH and TerrADat/AquADat Master sample AIM landscape toolbox website Webinars and calls QA/QC protocols and documentation Benchmark (threshold) determination tools – O/E type models for aquatics Geocortex reporting tools R-Shiny tool statistical analysis And more underway!!! AIM Tools Available

Quality Assurance (done throughout the year at all levels) Level 2: State QC Field Crew QA Level 1: Crew Lead/Field Office/District Office QC DIMA/SARAH finalization QC and dataset merge Training / calibration Calibration Pre-season DIMA/SARAH preparation Level 3: National Operations Center QC Mid-season check-in 2 Share previous year’s data with FOs QC and SQL ingestion (data is “locked”) Jan FebMarchApril MayJuneJulyAug SeptOctNovDec FebMarchApril MayJuneJulyAug SeptOctNovDec Jan Periodic DIMA/SARAH checks 1 Mid-season check-in 2 Calibration *Determine exact timing by subtracting crew training time from desired monitoring start date 1 Periodic DIMA checks should be done every few weeks once data collection has started (more frequent at the start of data collection to catch errors). 2 Mid-season check-ins should be done about 4 weeks after data collection has started.

FebMarchApril JuneJulyAug SeptOctNovDec Jan NOC State Office Field Office Field Crew Sample Design Plots Strata Study area Project design worksheet Field Data DIMA/SARAH Photos Sample Design DB Field season summary TerrADat/AquADat/ HAF Early DIMA/SARAH TrainingData Collection & QAQC Office Plot Evaluation QC Data Use Data Calibration data May