Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.
COMPUTATIONAL
RESEARCH FOR
EVERYONE
A N E W M O D E L F O R S H A R E D
B I G D A T A I N F R A S T R U C T U R E
I N A C ...
THE
DILEMMA
Libraries cannot provide
researchers with sustainable,
standardized access to
licensed datasets for text and
d...
THE
DILEMMA
It is cost-prohibitive for most
individual libraries to develop
and implement infrastructure
to provide access...
THE
DILEMMA
Many researchers who could
benefit from text and data
mining library-acquired &
large open resources are only
...
CADRE
COLLABORATIVE
ARCHIVE &
RESEARCH DATA
ENVIRONMENT
PROJECT PARTNERS
Indiana University Libraries
IU Network Science Institute Big Ten Academic Alliance
This project was made...
THE
SOLUTION
CADRE is a cloud-based
platform that provides secure
access to library-licensed
datasets and open, non-
consu...
THE
DATASETS
Web of Science
Leading commercial dataset with 63
million documents & 1.2 billion
citations
Microsoft Academi...
THE
SOLUTION
By sharing the cost of this
solution across a large
number of academic libraries,
we are able to provide a
su...
THE
SOLUTION
CADRE will feature a
graphical user interface;
custom computational
resources; and a space to
share and store...
THE
SOLUTION
CADRE enables users to query
across pre-aggregated
collections of datasets.
SUSTAINABILITY:
A TIERED
MEMBERSHIP
MODEL
CONTACT US
These slides are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Li...
Prochain SlideShare
Chargement dans…5
×

Computational Research for Everyone: A New Model for Shared Big Data Infrastructure in Academic Libraries

121 vues

Publié le

Academic libraries have a big data problem: Where can we put big licensed and open datasets so that researchers can easily access and analyze them? How do we broker access to the data our researchers need without prohibitively expensive investments in infrastructure, staffing, and updates? Why isn’t there a sustainable, affordable, and standardized library solution for large datasets? Meet CADRE, the open-source Collaborative Archive & Data Research Environment developed in collaboration with nine university libraries, eight non-profit and industry partners, and the IMLS. CADRE is a cloud-based platform solution for making licensed, big data sets & open and non-consumptive data sets accessible with appropriate security, stewardship, and storage in place. The CADRE model offers a new perspective on using shared tools to enable inexpensive, reliable, hands-off access to big data resources.

Publié dans : Sciences
  • Soyez le premier à commenter

Computational Research for Everyone: A New Model for Shared Big Data Infrastructure in Academic Libraries

  1. 1. COMPUTATIONAL RESEARCH FOR EVERYONE A N E W M O D E L F O R S H A R E D B I G D A T A I N F R A S T R U C T U R E I N A C A D E M I C L I B R A R I E S J A M I E W I T T E N B E R G I N D I A N A U N I V E R S I T Y L I B R A R I E S @ J A M I E V I V A
  2. 2. THE DILEMMA Libraries cannot provide researchers with sustainable, standardized access to licensed datasets for text and data mining
  3. 3. THE DILEMMA It is cost-prohibitive for most individual libraries to develop and implement infrastructure to provide access to licensed big data sets and large or unwieldy open data sets
  4. 4. THE DILEMMA Many researchers who could benefit from text and data mining library-acquired & large open resources are only be able to do so via a graphical user interface
  5. 5. CADRE COLLABORATIVE ARCHIVE & RESEARCH DATA ENVIRONMENT
  6. 6. PROJECT PARTNERS Indiana University Libraries IU Network Science Institute Big Ten Academic Alliance This project was made possible in part by the Institute of Museum and Library Services LG-70-18-0202.
  7. 7. THE SOLUTION CADRE is a cloud-based platform that provides secure access to library-licensed datasets and open, non- consumptive datasets
  8. 8. THE DATASETS Web of Science Leading commercial dataset with 63 million documents & 1.2 billion citations Microsoft Academic Graph Open bibliometric dataset with 208 million documents & 1.4 billion citations
  9. 9. THE SOLUTION By sharing the cost of this solution across a large number of academic libraries, we are able to provide a superior solution at a lower cost to members, as well as a free service tier for non- members
  10. 10. THE SOLUTION CADRE will feature a graphical user interface; custom computational resources; and a space to share and store queries, algorithms, derived data, results, workflows, and visualizations.
  11. 11. THE SOLUTION CADRE enables users to query across pre-aggregated collections of datasets.
  12. 12. SUSTAINABILITY: A TIERED MEMBERSHIP MODEL
  13. 13. CONTACT US These slides are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License @CADRE_Project cadre@iu.edu www.cadre.iu.edu

×