Databases at the Hub: Now you can create them yourself!

By Ann Christine Catlin1; Sudheera R. Fernando; Sumudinie Fernando; Ruchith Fernando; Ruwan J Egoda Gamage

1. Purdue University

Category

Seminars

Published on

Abstract

There are more than thirty medical and scientific databases established across ten Hubs. All databases were created using our Hub-based "data technology" components, with interesting new features and capabilities added to the technology for each new project. We have customized these databases for complex data types, with features tailored to support data collection and exploration for large funded projects.

But all communities should be able to share their data through the Hub! Many users need "simple" databases, based on spreadsheets that can be transformed into online, feature-rich databases – so that colleagues across the globe can search, browse, explore, drill-down, filter, download, and analyze shared research data. As the "data technology" components have become more powerful, and as more Hub communities called for their own personal databases, users kept asking: "Can you give us a way to create our own Hub databases?" The answer now is "Yes."

In this talk I will describe and demo DataStore Lite, an easy (and very cool) 3-step process for creating a searchable Hub database from a spreadsheet with data. I will also present DataStore, the next generation tool that gives Hub users a way to create more sophisticated databases, with full-featured data collection and exploration. I will briefly describe the Hub "data technology" components, which are used for DataStore Lite, DataStore and all custom-built databases.

Bio

Ann Christine Catlin is a Senior Research Scientist with the Rosen Center for Advanced Computing at Purdue University. She has an MS in Mathematics from Notre Dame University, and worked at several companies, both large (Bell Labs) and small (Applied Data Research) before coming to Purdue University. She was in the Computer Science Department for 12 years, where she worked on problem-solving environments for partial differential equations-based applications. She then moved to the Rosen Center, where she has worked for the past 5 years on creating a "database technology" for the HUBzero cyber infrastructure. She had led projects for Hub databases funded by NIH, NSF, NCI, NIST, U.S. Army, AFRL, Regenstrief Foundation and other institutions and foundations, with more than 40 publications about her work.

Cite this work

Researchers should cite this work as follows:

  • Ann Christine Catlin; Sudheera R. Fernando; Sumudinie Fernando; Ruchith Fernando; Ruwan J Egoda Gamage (2013), "Databases at the Hub: Now you can create them yourself!," https://help.hubzero.org/resources/1044.

    BibTex | EndNote

Submitter

Nikki Huang

Purdue University

Tags

Databases at the Hub: Now you can create them yourself!
  • Databases at the Hub Now you can Create them yourself! 1. Databases at the Hub Now you c… 0
    00:00/00:00
  • Acknowledge 2. Acknowledge 71.905238571905244
    00:00/00:00
  • Outline 3. Outline 86.653319986653329
    00:00/00:00
  • What is a HUB database? 4. What is a HUB database? 168.93560226893561
    00:00/00:00
  • What is a HUB database? (underneath) 5. What is a HUB database? (under… 397.93126459793126
    00:00/00:00
  • Databases: Features & Time LINE 6. Databases: Features & Time LIN… 502.06873540206874
    00:00/00:00
  • Cancer Care Engineering supporting data-intensive research 7. Cancer Care Engineering suppor… 547.41408074741412
    00:00/00:00
  • Databases: Features & Time LINE 8. Databases: Features & Time LIN… 679.97997997998
    00:00/00:00
  • Thymic MalignaNCy international database for a rare cancer 9. Thymic MalignaNCy internationa… 694.52786119452787
    00:00/00:00
  • Databases: Features & Time LINE 10. Databases: Features & Time LIN… 841.27460794127467
    00:00/00:00
  • Disaster & Failure Studies databases for nist and NEES 11. Disaster & Failure Studies dat… 886.48648648648657
    00:00/00:00
  • Databases: Features & Time LINE 12. Databases: Features & Time LIN… 1037.203870537204
    00:00/00:00
  • Pharmaceutical database excipients measurements, variability, QbD 13. Pharmaceutical database excipi… 1047.6142809476144
    00:00/00:00
  • Databases: Features & Time LINE 14. Databases: Features & Time LIN… 1157.223890557224
    00:00/00:00
  • datastore creating your own database 15. datastore creating your own da… 1162.5291958625292
    00:00/00:00
  • Copyright © 2022 Hubzero
  • Powered by Hubzero®