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Fish Web Collaborative: Towards an Integrated View of Fish Distribution Information for Ontario Craig Onafrychuk Fisheries Metadata Officer Information.

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Presentation on theme: "Fish Web Collaborative: Towards an Integrated View of Fish Distribution Information for Ontario Craig Onafrychuk Fisheries Metadata Officer Information."— Presentation transcript:

1 Fish Web Collaborative: Towards an Integrated View of Fish Distribution Information for Ontario Craig Onafrychuk Fisheries Metadata Officer Information Management & Spatial Analysis Unit Southern Science and Information Section Ministry of Natural Resources Craig Onafrychuk Fisheries Metadata Officer Information Management & Spatial Analysis Unit Southern Science and Information Section Ministry of Natural Resources

2 Fish Web Collaborative Current Situation Many agencies and community-based monitoring groups are collecting fish community and habitat information Information is collected using various methods Data are stored on agency networks or individual personal computers As a result: –Fish distribution data are undiscoverable, uncoordinated and unstandardized –Difficult to access information on fish communities and habitat necessary to make resource management decisions –Difficult to test effects of regulations, habitat improvements or other management techniques –Difficult to make comparisons across spatial and temporal scales Many agencies and community-based monitoring groups are collecting fish community and habitat information Information is collected using various methods Data are stored on agency networks or individual personal computers As a result: –Fish distribution data are undiscoverable, uncoordinated and unstandardized –Difficult to access information on fish communities and habitat necessary to make resource management decisions –Difficult to test effects of regulations, habitat improvements or other management techniques –Difficult to make comparisons across spatial and temporal scales

3 Fish Web Collaborative Purpose of the Fish Web Collaborative To develop a multi-organizational collaborative model for the management of fish distribution data in Ontario and establish a single standardized source accessible over the Internet Goals/Results: –Increase communication & data sharing –Reduce costs –Data analysis: increase sample size; compare across time & space To develop a multi-organizational collaborative model for the management of fish distribution data in Ontario and establish a single standardized source accessible over the Internet Goals/Results: –Increase communication & data sharing –Reduce costs –Data analysis: increase sample size; compare across time & space

4 Fish Web Collaborative Goal Ultimate goal of the project is to provide one repository of fish data maintained by multiple organizations and served via web mapping Ultimate goal of the project is to provide one repository of fish data maintained by multiple organizations and served via web mapping Source: Fisheries & Oceans Canada

5 Fish Web Collaborative Phases of the Fish Web Collaborative Phase 1: Develop thematic data standards for fish distribution information (this project) – completed by Sept 2008 (Proposed) Phase 2: Publish thematic data on fish distribution in Ontario waterbodies on the internet – Oct 2008 – Oct 2009 (Proposed) Phase 3: Develop a web-based application to enable the community of practice to continue to contribute fish distribution – October 2009 – March 2010 Phase 1: Develop thematic data standards for fish distribution information (this project) – completed by Sept 2008 (Proposed) Phase 2: Publish thematic data on fish distribution in Ontario waterbodies on the internet – Oct 2008 – Oct 2009 (Proposed) Phase 3: Develop a web-based application to enable the community of practice to continue to contribute fish distribution – October 2009 – March 2010

6 Fish Web Collaborative Objectives for Funding To develop and implement thematic geospatial data organized around a particular theme (i.e., Fish Distribution) Standards which allow for inter- organizational exchange and interoperability Project must be collaborative and support an identified end-user community To develop and implement thematic geospatial data organized around a particular theme (i.e., Fish Distribution) Standards which allow for inter- organizational exchange and interoperability Project must be collaborative and support an identified end-user community

7 Fish Web Collaborative Phase I: Technical Committee Members Team Members Representing Provincial Government Helen Ball, Aquatic Ecologist Leslie McDonald, Fisheries Program Biologist Fisheries Section, Fish & Wildlife Branch, MNR Ola McNeil, Fisheries Information Specialist Inventory, Monitoring & Assessment Unit, Science & Information Branch, MNR Silvia Strobl, IMSAU Coordinator James McHattie, IM Specialist Craig Onafrychuk, Fisheries Metadata Officer Trevor Friesen, Fisheries Specialist Southern Science and Information Section, Science & Information Branch, MNR Peter Sorrill, GIS and Data Support Officer Natural Heritage Information Centre, MNR Harry Taylor, Commercial Fish/Systems Officer Great Lakes Branch, MNR Conservation Authorities Chris Wilkinson, WRIP Coordinator Conservation Ontario Samantha Mason, Aquatic Biologist Phil Lenoir, Senior Business Analyst/Programmer Graham Smith, Geomatics Coordinator Grand River Conservation Federal Government Carolyn Bakelaar, GIS Analyst Department of Fisheries & Oceans Canada International Christine Geddes, Great Lakes GIS Project Coordinator Institute for Fisheries Research, University of Michigan

8 Fish Web Collaborative Technical Team – Member Roles Provide technical direction Empowered to actively participate on behalf of their organization Communicate progress to & solicit information from home organization (esp. senior management) Coordinate the cataloguing of fish distribution data with Metadata Coordinator Support delivery of User Needs Workshops Provide technical direction Empowered to actively participate on behalf of their organization Communicate progress to & solicit information from home organization (esp. senior management) Coordinate the cataloguing of fish distribution data with Metadata Coordinator Support delivery of User Needs Workshops

9 Fish Web Collaborative Phase 1: Thematic Data Standards

10 Fish Web Collaborative Phase 1 Goals Compile a comprehensive list of existing fish data sources Document the essential descriptive and administrative information to support discovery, access and use of existing fish data sources Conduct workshops with users to develop a consensus-based data model Compile a comprehensive list of existing fish data sources Document the essential descriptive and administrative information to support discovery, access and use of existing fish data sources Conduct workshops with users to develop a consensus-based data model

11 Fish Web Collaborative What is Metadata? High-level descriptions which enables the discovery and analysis of data At the very least, metadata answers some fundamental questions about data: –Who created the data? Who maintains it? –What is the content of the data? What is its structure? –Where was the data collected? Where is it stored? –When was the data collected? When was it produced? –Why was the data created? What is the purpose? –How was it produced? How can it be accessed? What data quality can you expect? High-level descriptions which enables the discovery and analysis of data At the very least, metadata answers some fundamental questions about data: –Who created the data? Who maintains it? –What is the content of the data? What is its structure? –Where was the data collected? Where is it stored? –When was the data collected? When was it produced? –Why was the data created? What is the purpose? –How was it produced? How can it be accessed? What data quality can you expect?

12 Fish Web Collaborative Collecting Metadata: A Team Approach Identify a Metadata Coordinator –User of standards and tools Establish a production process –Interview method or individual entry –Common templates Engage appropriate specialists –Data owner (You the practitioner) –GIS Specialist / Metadata Clerk Identify a Metadata Coordinator –User of standards and tools Establish a production process –Interview method or individual entry –Common templates Engage appropriate specialists –Data owner (You the practitioner) –GIS Specialist / Metadata Clerk Source: USGS GeoConnections Training

13 Fish Web Collaborative DATA DETAILS Time of data development Specific details about problems with individual items or specific dates are lost relatively rapidly General details about data set are lost over time Accident or technology change may destroy data and documentation Retirement or career change makes access to “mental storage” difficult or unlikely Loss of initial data developer results in loss of remaining records Information Entropy TIME DATA DETAILS Source: Michener et al 1996; USGS GeoConnections Training

14 Fish Web Collaborative Metadata Interview Components 1.General Info Dataset name, description, purpose, etc. Constraints, time period, key words, storage 2.Contact Info 3.Mapping Info Coordinate system, datum, accuracy 4.Geographic Extent 5.Business Requirements Location (river, lake); Protocols (OSAP) 6.Fish Attribute Info Naming convention, codes, sampling techniques, photos 7.Water Temperature Info 1.General Info Dataset name, description, purpose, etc. Constraints, time period, key words, storage 2.Contact Info 3.Mapping Info Coordinate system, datum, accuracy 4.Geographic Extent 5.Business Requirements Location (river, lake); Protocols (OSAP) 6.Fish Attribute Info Naming convention, codes, sampling techniques, photos 7.Water Temperature Info Source: Christine Brousseau, Fisheries & Oceans Canada

15 Fish Web Collaborative Metadata Standards and Tools Ontario Land Information Directory (OLID) Metadata Directory metadata editor –Catalogue tool and repository Metadata records catalogued according to the Government of Ontario IT Standard (GO-ITS 72) Geospatial Metadata Standard –Based on the North American Profile of ISO 19115:2003 Compliant with Canadian Geospatial Data Infrastructure (CGDI) endorsed standards –OLID is a registered repository with GeoConnections and is discoverable via GeoConnection’s Discovery Portal Ontario Land Information Directory (OLID) Metadata Directory metadata editor –Catalogue tool and repository Metadata records catalogued according to the Government of Ontario IT Standard (GO-ITS 72) Geospatial Metadata Standard –Based on the North American Profile of ISO 19115:2003 Compliant with Canadian Geospatial Data Infrastructure (CGDI) endorsed standards –OLID is a registered repository with GeoConnections and is discoverable via GeoConnection’s Discovery Portal

16 Fish Web Collaborative How is the Fish Web Collaborative Unique? Metadata collection is being conducted on behalf of agency Maintenance of record is transferred to agency Metadata being published prior to data publication –Ontario Land Information Directory (OLID): –GeoConnections Discovery Portal: Metadata catalogue host –Conservation Ontario: Metadata collection is being conducted on behalf of agency Maintenance of record is transferred to agency Metadata being published prior to data publication –Ontario Land Information Directory (OLID): –GeoConnections Discovery Portal: Metadata catalogue host –Conservation Ontario:

17 Fish Web Collaborative Ontario Land Information Directory

18 Fish Web Collaborative GeoConnections Discovery Portal

19 Fish Web Collaborative FWC Catalogue

20 Fish Web Collaborative Interview Status Thirteen (14) sites to-date / 18 databases in total: –Ausable Bayfield Conservation Authority –Central Lake Ontario Conservation –Credit Valley Conservation –Grand River Conservation Authority –Grey Sauble Conservation Authority –Lake Simcoe Region Conservation Authority –Otonabee Region Conservation Authority –South Nation Conservation Authority –Toronto and Region Conservation Authority –Upper Thames River Conservation Authority –McMaster, Department of Biology (Coastal Wetland Research Group) –MNR Guelph District Office – Guelph Area –MNR Guelph District Office – Niagara Area –MNR IMA – FishNet 2.0 and 3.0 Thirteen (14) sites to-date / 18 databases in total: –Ausable Bayfield Conservation Authority –Central Lake Ontario Conservation –Credit Valley Conservation –Grand River Conservation Authority –Grey Sauble Conservation Authority –Lake Simcoe Region Conservation Authority –Otonabee Region Conservation Authority –South Nation Conservation Authority –Toronto and Region Conservation Authority –Upper Thames River Conservation Authority –McMaster, Department of Biology (Coastal Wetland Research Group) –MNR Guelph District Office – Guelph Area –MNR Guelph District Office – Niagara Area –MNR IMA – FishNet 2.0 and 3.0

21 Fish Web Collaborative Preliminary results (16 databases) Are you following OSAP? 9 Do you survey waterbodies/streams for temperature? 15 Used a consistent protocol? 7 Do you survey water bodies for fish species presence? 16 Are fish species Common Name recorded? 15 Are fish species Scientific Name recorded? 14 For site location, is a written description solely used? 0 For site location, is a geographic latitude and longitude used? 6 Are survey points captured in Universal Transverse Mercator (UTM)? 13

22 Fish Web Collaborative Preliminary results Is site location checked against base mapping? 14 Is the site checked against base data in a GIS? 13 Are there restrictions on disseminating your data? 9 Have you produced a Web Map Service (WMS) for any of your geospatial datasets? 6 Do you have a production, development or planned web map service (WMS) server environment? 5(Prod) 7(Dev) 7(Plan) Do you have a production, development or planned web feature service (WFS) server environment? 0(Prod) 3(Dev) 5(Plan)

23 Fish Web Collaborative Phase 2: Publish Fish Distribution Data (Proposed) Publish thematic data of fish distribution in Ontario waterbodies on the Internet Users may be able to: –Enter spatial data using existing protocols –Validate site locations where surveys were conducted –Access fisheries species data –Query common attributes & generate statistics –Export selected data for modeling Publish thematic data of fish distribution in Ontario waterbodies on the Internet Users may be able to: –Enter spatial data using existing protocols –Validate site locations where surveys were conducted –Access fisheries species data –Query common attributes & generate statistics –Export selected data for modeling

24 Fish Web Collaborative Phase 3: Online Data Entry (Proposed) Online data entry application A web-based set of tools to enable the community of practice to continue to contribute fish distribution data Online data entry forms based on the data model from Phase 1 Potential of a batch upload tool Online data entry application A web-based set of tools to enable the community of practice to continue to contribute fish distribution data Online data entry forms based on the data model from Phase 1 Potential of a batch upload tool

25 Fish Web Collaborative Potential Framework Fish Web Collaborative External Partner Data via Online Forms or Batch Upload to FWC External Viewing via WWW WMS/WFS Ontario Stream Information System LIO/NRVIS (Ministry of Natural Resources) WMS/WFS External Partner Data (WMS/WFS Servers) WMS/WFS Municipal Drain DB (DFO) WMS External Partner Data via Online Forms or Batch Upload to FWC

26 Fish Web Collaborative Review: Fish Websites in North America

27 Fish Web Collaborative Iowa Rivers Information System Iowa Department of Natural Resources, Iowa State University, and U.S. Geological Survey

28 Fish Web Collaborative

29 Fish Web Collaborative

30 Fish Web Collaborative

31 Fish Web Collaborative

32 Fish Web Collaborative Wisconsin Dept of Natural Resources & Wisconsin Aquatic Gap Mapping Application “Fish Mapper”

33 Fish Web Collaborative

34 Fish Web Collaborative

35 Fish Web Collaborative

36 Fish Web Collaborative Trempaleau River Watershed

37 Fish Web Collaborative

38 Fish Web Collaborative Northern Pike Abundance

39 Fish Web Collaborative Minnesota Department of Natural Resources (DNR) Eco Services/Fisheries Fishes of Minnesota MapServer Application (in development)

40 Fish Web Collaborative Fishes of Minnesota MapServer Application Project Objective: –Serve fish species distribution data over the Internet –Leverage the Fishes of Minnesota (FOM) database as the source –Enable users to query by multiple criteria and display point locations of fish species occurrences –Create printable species range maps –Provide a basic introduction to fish species distribution across Minnesota, with links to relevant resources Project Objective: –Serve fish species distribution data over the Internet –Leverage the Fishes of Minnesota (FOM) database as the source –Enable users to query by multiple criteria and display point locations of fish species occurrences –Create printable species range maps –Provide a basic introduction to fish species distribution across Minnesota, with links to relevant resources Source: Minnesota Department of Natural Resources Fisheries

41 Fish Web Collaborative Attributes for User Query Species –Scientific name –Common name –Group name –Group common name –Habitat guild - Adult –Protection status Waterbody Info –Waterbody type –Waterbody name –Lake ID (DOW #) –Stream ID (Kittle #) Species –Scientific name –Common name –Group name –Group common name –Habitat guild - Adult –Protection status Waterbody Info –Waterbody type –Waterbody name –Lake ID (DOW #) –Stream ID (Kittle #) Watersheds (Hydrologic Units) –DNR Lake Watersheds (~ HUC16) –USGS Hydrologic Units 2-14 (HUC2-Huc14) Geographic Location –County –DNR Fisheries Administrative boundaries Collection Info –Date (start date/end date) –Gear –Source –Voucher Source: Minnesota Department of Natural Resources Fisheries, Minnesota DNR Fishes of MN database model

42 Fish Web Collaborative Attributes for Tabular Display Scientific name Common name Catch Date Voucher Waterbody name Drainage (HUC4) Scientific name Common name Catch Date Voucher Waterbody name Drainage (HUC4) County Township Township Range # Township Section # UTM X UTM Y Source Gear Nearest town Source: Minnesota Department of Natural Resources Fisheries, Minnesota DNR Fishes of MN database model

43 Fish Web Collaborative Discussion – Questions? Craig Onafrychuk Fisheries Metadata Officer, Southern Science and Information, MNR Tel: Craig Onafrychuk Fisheries Metadata Officer, Southern Science and Information, MNR Tel:


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