Skip to main content

Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications

Publication ,  Conference
Barber-Lester, KJ; Derry, S; Minshew, L; Anderson, J
Published in: Proceedings of International Conference of the Learning Sciences Icls
January 1, 2016

As design-based research (DBR) approaches increase in popularity, there is greater and greater need to invent database management systems that document the designs and phases of DBR projects as meaningful contexts for archival storage of large databanks that such projects create. Such database systems must also support transparent and efficient search and selection of data to enable rapid analysis by design teams as well as collaborative data sharing and analysis by multiple researchers. This paper outlines one system devised by a team of design-based researchers for documenting their research process and organizing their data. Inspired by the hierarchical workflow model suggested by Hackbarth et al. (2010), this approach employs a combination of visual modeling and data tagging to organize and support rapid access and sharing of a large DBR databank.

Duke Scholars

Published In

Proceedings of International Conference of the Learning Sciences Icls

ISSN

1814-9316

Publication Date

January 1, 2016

Volume

2

Start / End Page

966 / 969
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Barber-Lester, K. J., Derry, S., Minshew, L., & Anderson, J. (2016). Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications. In Proceedings of International Conference of the Learning Sciences Icls (Vol. 2, pp. 966–969).
Barber-Lester, K. J., S. Derry, L. Minshew, and J. Anderson. “Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications.” In Proceedings of International Conference of the Learning Sciences Icls, 2:966–69, 2016.
Barber-Lester KJ, Derry S, Minshew L, Anderson J. Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications. In: Proceedings of International Conference of the Learning Sciences Icls. 2016. p. 966–9.
Barber-Lester, K. J., et al. “Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications.” Proceedings of International Conference of the Learning Sciences Icls, vol. 2, 2016, pp. 966–69.
Barber-Lester KJ, Derry S, Minshew L, Anderson J. Exploring visualization and tagging to manage big datasets for DBR: A modest proposal with significant implications. Proceedings of International Conference of the Learning Sciences Icls. 2016. p. 966–969.

Published In

Proceedings of International Conference of the Learning Sciences Icls

ISSN

1814-9316

Publication Date

January 1, 2016

Volume

2

Start / End Page

966 / 969