Tags: iData

All Categories (1-8 of 8)

  1. Marker Set

    06 Nov 2018 | Contributor(s):: Rob Campbell

    Create iData Marker Set definition files (.ims)

  2. iData Packaging Tool

    12 Jun 2018 | Contributor(s):: Rajesh Kalyanam

    Package iData files into a BagIT bag for subsequent import to a different project.

  3. Metadata Exporter

    03 Apr 2018 | Contributor(s):: Rajesh Kalyanam

    Export geospatial file metadata to the ISO-19115 standard

  4. Developing Open Source Geospatial Data Analysis Building Blocks Software

    26 Oct 2017 | Contributor(s):: JIngbo Wu

    This is an article published at Journal of Purdue Undergraduate Research by Jingbo Wu describing his summer intern work as part of the GABBs project.

  5. iData Walkthrough

    21 Oct 2017 | Contributor(s):: Rajesh Kalyanam

    This video demonstrates the features of the GABBs iData data management building block such as automatic metadata extraction and geospatial file preview. It also walks through how iData files can be used in both hub tools and publications. 

  6. iData Tutorial

    22 Jul 2016 | Contributor(s):: Abilene Thiele Concepcion Perez

    *Note that the number before each step is the time on the YouTube video below where it shows how each step is done. Click on "View Resource" on the top right to watch the video.Start iData [0:05] Go to http://mygeohub.org/idata to load the iData application. It starts with...

  7. Data-driven Collaboration Environments - Integrating HUBzero and iRODS

    15 Sep 2015 | | Contributor(s):: Rajesh Kalyanam

    As part of an effort to establish a community-based data sharing environment, we previously developed a HUBzero-based web component, iData. Using the open-source data management software, iRODS, iData  provides hub users and tools with the ability to publish, manage, discover...

  8. iData Cheat Sheet

    19 Jun 2015 | | Contributor(s):: Lan Zhao, Carol Song

    This document is a quick note that guides new iData users through the steps of registering a hub account, creating a new dataset, uploading some files, and sharing with others.