Dealing with data deluge at national funding agencies: An investigation of user needs for understanding and managing research investments

Mihaela Vorvoreanu, Ann McKenna, Zhihua Dong, Krishna Madhavan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper provides in-depth, applied and contextualized insights about the particular challenges members of federal government funding agencies face when dealing with data deluge. We present the findings of qualitative research conducted with members of a federal US funding agency. The findings point out specific needs for understanding investment portfolios broadly and tracking the evolution and impact of ideas. They show limitations of existing solutions and their negative effects on labor, time, and personal stress. Based on these findings, we make specific suggestions for the design of automated tools that can help funding agencies understand and manage their portfolios.

Original languageEnglish (US)
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationInformation and Knowledge in Context - 17th International Conference, HCI International 2015, Proceedings
EditorsSakae Yamamoto
PublisherSpringer Verlag
Pages140-151
Number of pages12
ISBN (Print)9783319206172
DOIs
StatePublished - 2015
Event17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9173
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Human-Computer Interaction, HCI International 2015
Country/TerritoryUnited States
CityLos Angeles
Period8/2/158/7/15

Keywords

  • Data deluge
  • Funding agencies
  • Knowledge management
  • Portfolio mining
  • Research investments
  • Understanding users
  • User research

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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