Data Sharing We all need data

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Presentation transcript:

Data Sharing We all need data There are a huge number of different types of data Needs: Right theme Right Area of Interest (AOI) Right precision and accuracy Compatible format

Challenges Performance: Formats: Documentation Local will always be faster GIS datasets can be huge Projection on the fly is slow Formats: New ones are typically too complex Documentation Typically the data is available with little documentation Little or none on accuracy and precision

Vector Data Formats Point-Specific Formats General Vector Formats Tab-delimited Text Comma separated values General Vector Formats Shapefiles: Really popular Coverages: Going away? SDTS: Future uncertain at best? Scalable Vector Graphics: Can be georeferenced KML: Widely used, becoming a GIS standard, still not geo-referenced Spatial Data Transfer Standard

Raster Formats Imagine: IMG Tagged Image File Formats: TIFF ASCII Grid: Widely used Ersi Grid: Being replaced by IMG? JPG: Georeferenced with world file and prj BIL, BIP, BSQ: and other “binary” formats All have a “header” file (HDR)

Hierarchical Data Formats Hold the promise of a single “self-describing” data file So far the promise has not been met NetCDF converters now in ArcGIS Examples: Hierarchical Data Format: HDF Network Common Data Form: netCDF

Computer-Based Data Storage Computers have 2 places to store data: Dynamic Random Access Memory (RAM) “In Memory” Goes away when the power goes off “Static” RAM, Disks, Tapes “In Files” Does not go away when the power goes off Goes away when your “disk” crashes Examples Memory/Thumb “sticks” Network drives Local drives “Floppy” discs - “Geographic” only needs to be mentioned on a map when the data is presented as “Geographic” data

GIS Data Access In Memory In File Loaded in ArcGIS Traditional Files: Shapefiles, TIFF, IMG, MXD, EOO, PRJ… Network Files: Links to download Web services Databases

Promise of the “Cloud” What is the cloud? Promise: Reality: Lots of servers on the Internet providing “services” Promise: Universal access to data High-performance High-quality Reality: Lots of problems with compatibility Typically slow Questionable to undocumented quality

The Cloud Esri’s Backgrounds Great if you use the background’s spatial reference and have strong Internet connection Problems: Cut-off labels Projecting on the fly Slow Internet connection

ArcOnline GIS Is Moving Into the “Cloud” Your data will be stored on other companies servers You’ll use web applications to access, analyze, distribution, and publish your data! Thoughts?

What works Large datasets on your workstation Serving data on servers Scripts to download, process data Web services for frequent, small transfers (scripted)

Shared Storage Successes Shared network drive Can be on a workstation Define the folder organization! Make sure it is backed up DropBox for Teams Maintains local copies Trying it out with OSU/DOE research team

Metadata ISO 19115:2003 The Federal Geographic Data Committee (FGDC) Geographic information - metadata The Federal Geographic Data Committee (FGDC) Content Standard for Geospatial Metadata Being superseded by North American Profile (NAP) of ISO 19115:2003 ISO/TS 19139:2007 XML Implementation of ISO 19115

ArcGIS Maintains their own metadata format Import/Export to and from other formats ArcToolbox -> Conversion Tools -> Metadata ArcMap -> Customize -> Options Changes the required fields

ArcGIS

Jim’s Recommendation Use and contribute to a “Directory of GIS Web Resources” See ibis.colostate.edu (coming to HSU soon) When publishing data: Add at least the required metadata (including accuracy and precision) Publish on simple web page with links to zipped data in common file formats