National Park Service Upper Columbia Basin Network Protocol Deployment Challenges from a Data Manager’s perspective Gordon Dicus UCBN, Moscow ID.

Slides:



Advertisements
Similar presentations
Towards a simpler and more efficient BR June 19, 2007 ICES-III Montréal (QC)
Advertisements

Yuma Pacific-Southwest Section, AIHA
How are you managing your audits and inspections? Labelmaster has your answer...
 Management has become a multi-faceted complex task involving:  Storage Management  Content Management  Document Management  Quota Management.
MIS 2000 Class 20 System Development Process Updated 2014.
Integrating Educational Technology into the Curriculum
Ying Wang EDN 303 Fall Objectives Define curriculum-specific learning Explain the difference between computer, information, and integration literacy.
TRACK 2™ Version 5 The ultimate process management software.
Environmental Data Integration and Management SiteFX Sampling Program Manager Prepared for General Prepared byKelsy Brennan, P.Eng EarthFX Inc.
Pacific Islands Coral Reef Program ESRI International User Conference – July 2005 National Park Service (NPS) Pacific Islands Coral Reef Program (PICRP)
Chapter 19: Network Management Business Data Communications, 4e.
1 ITEC810 An Application Suite for a Student Database Project Supervisor: Abhaya Nayak Student Id: Andrew Johnson.
Access 2007 Product Review. With its improved interface and interactive design capabilities that do not require deep database knowledge, Microsoft Office.
6.1 Copyright © 2014 Pearson Education, Inc. publishing as Prentice Hall Building Information Systems Chapter 13 VIDEO CASES Video Case 1: IBM: Business.
The Visibility Information Exchange Web System (VIEWS): An Approach to Air Quality Data Management and Presentation In a broader sense, VIEWS facilitates.
Mobile Technology for Real Property Assessment Tax Assessor’s Office Davie County, North Carolina.
Managing Data & Information with the SECN Decision Support System GWS Meeting New Orleans, LA March 14-18, 2011.
AUDITING INFORMATION TECHNOLOGY USING COMPUTER ASSISTED AUDIT TOOLS AND TECHNIQUES.
Nu Project Management Office A web based tool to Manage Projects.
Oracle Database Administration. Rana Almurshed 2 course objective After completing this course you should be able to: install, create and administrate.
NODEM reporter Flexible Information Generating Tool for Asset Managers.
Computerised Maintenance Management Systems
TCRS Concord Project Employer Training. Agenda 2 Topic Objectives Why Are You Here? Project Overview What’s New Your Resources Questions Demonstration.
Prepared by: Jennifer McKee With support from: in partnership with: Introduction to ArcPad NSF DUE
Data Transformation for Analysis Purposes Presented By: Gregg Ravenscroft Khulisa Management Services
PDAs for Data Collection in Resource-Poor Settings Project HOPE’s experience.
SWIS Digital Inspections Project (SWIS DIP) Chris Allen, Information Management Branch California Integrated Waste Management Board November 5, 2008 The.
The Utilization of GIS Technology at Northeastern REMC Presented By: Steven Weber, GISP Northeastern REMC (260)
Tulane University School of Public Health and Tropical Medicine Module 6 of 10 Motivation and Practices for Developing PDA- Based Electronic Forms Jeffrey.
November 27, 2007Pebble Project Agency Meetings Pebble Project Data Management Data Management Responsibilities Ensure complete and accurate field and.
- 1 - Roadmap to Re-aligning the Customer Master with Oracle's TCA Northern California OAUG March 7, 2005.
A monitoring data summary tool Alan Williams Alan Williams 2008 GIS / Data Management Conference March 31 – April 3, 2008 Fort Collins, CO.
Indo-US Workshop, June23-25, 2003 Building Digital Libraries for Communities using Kepler Framework M. Zubair Old Dominion University.
© 2006 Cisco Systems, Inc. All rights reserved.Cisco Public 1 Version 4.0 Gathering Network Requirements Designing and Supporting Computer Networks – Chapter.
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Meet and Confer Rule 26(f) of the Federal Rules of Civil Procedure states that “parties must confer as soon as practicable - and in any event at least.
Data Capture Technology Statistical Centre Of IRAN Presented by : MS. SOMAYE AHANGAR Vice – Presidency for Strategic Planning and Supervision Statistical.
Drinking Water Infrastructure Needs Survey and Assessment 2007 Website.
DATABASES Southern Region CEO Wednesday 13 th October 2010.
2005 Epocrates, Inc. All rights reserved. Integrating XML with legacy relational data for publishing on handheld devices David A. Lee Senior member of.
© 2006 Formic Wednesday 7th November 2007 Formic Scoop Training Mikey Desai.
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
Overview Acquiring Data DEVA Data Management Workshop Devil’s Hole Pupfish Project Data Life Cycle.
© 2006 Cisco Systems, Inc. All rights reserved.Cisco Public 1 Version 4.0 Gathering Network Requirements Designing and Supporting Computer Networks – Chapter.
The Move from Planning to Implementation John Boetsch - NCCN / Olympic NP 2009 I&M Data Management Conference Tucson, Arizona – April 2009.
Utilizing Databases to Manage Precision Ag Data Candice Johnson BAE 4213 Spring 2004.
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry Using Tablets / Laptops.
Database Systems. Role and Advantages of the DBMS Improved data sharing Improved data security Better data integration Minimized data inconsistency Improved.
Multi-institutional collaborative program. Established in 1988 to document the composition and status of natural vegetation of the Carolinas. Provides.
HUMAN RESOURCE MODULE. Sub systems under HR module Human resource management is an essential factor of any successful business. The various subsystems.
TSS Database Inventory. CIRA has… Received and imported the 2002 and 2018 modeling data Decided to initially store only IMPROVE site-specific data Decided.
November 17, 2008Pebble Project Agency Meetings Pebble Project Data Management Data Management Responsibilities Ensure complete and accurate field and.
Flat Files Relational Databases
TIMOTHY SERVINSKY PROJECT MANAGER CENTER FOR SURVEY RESEARCH Data Preparation: An Introduction to Getting Data Ready for Analysis.
Multi-institutional collaborative research program. Established in 1988 to document the composition and status of natural vegetation of the Carolinas.
RECENT DEVELOPMENT OF SORS METADATA REPOSITORIES FOR FASTER AND MORE TRANSPARENT PRODUCTION PROCESS Work Session on Statistical Metadata 9-11 February.
Computerised Maintenance Management Systems
MICS Survey Design Workshop Multiple Indicator Cluster Surveys Survey Design Workshop Data Entry Using Tablets / Laptops.
Learning Objectives Understand the concepts of Information systems.
Jennifer L. Burke MOJN Protocol Data Manager Bob Truitt MOJN Data Manager Dana Robinson GIS Specialist.
Introduction to FFI: Why and how FFI was developed Introduction to FFI: Why and how FFI was developed 04/02/2013.
Transaction processing systems
An introduction to MEDIN Data Guidelines September 2016
22-INTEGRATION HUB
CIS 515 STUDY Lessons in Excellence-- cis515study.com.
Oil Analysis in the Digital Era
Chapter 1 Database Systems
Agenda Item 4 : (a) – proposals for testing of quality and representativeness of monitoring data and for presentation of results B.FRIBOURG-BLANC, IOW.
Chapter 1 Database Systems
OBSERVER DATA MANAGEMENT PRINCIPLES AND BEST PRACTICE (Agenda Item 4)
Presentation transcript:

National Park Service Upper Columbia Basin Network Protocol Deployment Challenges from a Data Manager’s perspective Gordon Dicus UCBN, Moscow ID

National Park Service Upper Columbia Basin Network Presentation Overview Identify primary protocol deployment challenges Discuss challenges, including some examples Briefly contrast small Network vs large Network Draw some conclusions

National Park Service Upper Columbia Basin Network Primary Challenges Communication on protocol data needs and solutions Flexibility in responding to protocol changes (variables, data collection tools, analysis, etc.) Smooth procedures for getting data into protocol DB Data summaries and analyses/reports that are useful to Protocol Leads, Park Managers, Network staff, and Cooperators Fitting core data management roles/responsibilities to individual protocol staff and Network staff/time [“Get the data out!”] [“HELP!”]

National Park Service Upper Columbia Basin Network Communication on protocol data needs Imperative that Data Manager is well informed on protocol data needs and data collection strategies Complex protocols may require postponing some DB components until Protocol Lead refines methods & analysis Data Managers must adequately convey time required to develop (and to modify!) DB components Manage expectations regarding data management roles (consider skills of Protocol Lead and staff, if any, and workload of Network Data Manager and staff, if any) Protocol Leads must understand and meet Network requirements for data products and documentation (Project Tracking and/or annual Close Out/Review process)

National Park Service Upper Columbia Basin Network Flexibility in DB for protocol changes Minimize changes to data variables ! NRDT table structure standards help ease burden of design modifications Big headache – how to maintain old data in revised DB to serve multi-year summary and analysis ? Digital data collection strategies and data analysis requirements will change, so DB revisions are an on-going need

National Park Service Upper Columbia Basin Network Procedures for getting data into DB Paper field datasheets are simple and some folks desire a paper archive record, but… Digital data collection is efficient and can eliminate transcription errors Some basic examples…

National Park Service Upper Columbia Basin Network Aspen monitoring (UCBN) Using MS Access database running on tablet PC (Samsung Q1) –allows robust Access data integrity rules and validation procedures to control data entry –data entry accomplished in one process –tablets put in “Otter boxes” on rainy field days –must accept that no paper record exists for vegetation plot data

National Park Service Upper Columbia Basin Network Sagebrush-steppe monitoring (UCBN) Abandoned data collection on tablet PCs –difficulty seeing tablet PC screen in bright sunlight –weight and durability concerns for crews traversing long distances over rough terrain Currently using PDA devices (Archer) running Data Plus software –less robust data integrity and validation capability –relatively quick data entry on small, durable PDAs –must accept additional processes to transfer field data into protocol MS Access database

National Park Service Upper Columbia Basin Network Benthic Marine monitoring (PACN) Using photo analysis to determine benthic cover on coral reefs and presence/absence of disease symptoms Reef “rugosity” and marked coral colony measurements recorded on paper datasheets Recruitment tiles, deployed for 6 months, analyzed in lab to identify coral species and count number of juveniles Photo analysis results are processed for transfer into protocol MS Access database; other data is manually entered into database –manual data entry components require careful QA/QC procedures to minimize and document transcription errors –photo analysis component requires attention to detail in managing digital photos and PhotoGrid output files

National Park Service Upper Columbia Basin Network Water quality monitoring (UCBN) Using Hydrolab data loggers to collect water chemistry data Aquatic macroinvertebrate sampling work uses paper field datasheets; results come back from lab in MS Excel format Using Aquarius Time-Series software to process and analyze water chemistry data Output from Aquarius Time-Series (raw and corrected data) and macroinvert lab results are processed for transfer into protocol MS Access database –still in development; will facilitate export of data to NPStoret and sharing/posting of annual and multi-year datasets –requires considerable processing to transfer data into protocol MS Access database

National Park Service Upper Columbia Basin Network Getting out Protocol data/summaries Annual Reports, Resource Briefs, and Network website used to share protocol data and analyses Science Advisory Committee meetings are another opportunity for sharing protocol findings Frequent communication and ing of data files meets more immediate data needs NPS Data Store for certified Protocol data products VSIMS has promise for dynamic sharing of Protocol data (ability to download selected data?)

National Park Service Upper Columbia Basin Network Data Management roles – Considerations… Who is Protocol Lead and staff ? –(Cooperator, Network staff, Park staff, Contractor) How fit data management roles to skill/time constraints of Protocol staff vs Network staff ? –(allocating sample points, loading points on GPS, preparing field maps and datasheets, file management for PDA/Data logger files and photos, QA/QC, certifying data, etc.)

National Park Service Upper Columbia Basin Network Staffing – Large vs Small Network Large Network –Data Manager –DB Developer –GIS Specialist –Data Management Assistant –NPS IT support Small Network –Data Manager –Part-time, temp-hire assistant –minimal NPS IT support

National Park Service Upper Columbia Basin Network Data Management roles – Creative Solutions Assign more to Protocol Lead –pre-field prep (sample points, GPS loading, field maps & datasheets) –annual file management (file naming and organizing within file directory structure) Find new ways to meet Network data mng needs –organize for quarterly website updates by contractor –organize for annual updates to NBib and NPSpp –share GIS staff among Networks and/or with Parks

National Park Service Upper Columbia Basin Network Conclusions Be FLEXIBLE Keep it SIMPLE ! COMMUNICATE Support Network ACCOUNTABILITY