TY - GEN
T1 - Autocuration cyberinfrastructure for scientific discovery and preservation
AU - Padhy, Smruti
AU - Black, Edgar
AU - Cowdery, Betsy
AU - Diesendruck, Liana
AU - Dietze, Michael
AU - Jansen, Greg
AU - Kooper, Rob
AU - Kumar, Praveen
AU - Lee, Jong Sung
AU - Liu, Rui
AU - Marciano, Richard
AU - Marini, Luigi
AU - Mattson, Dave
AU - Minsker, Barbara S
AU - Navarro, Chris
AU - Rai, Ankit
AU - Slavenas, Marcus
AU - Sullivan, William C
AU - Votava, Jason
AU - Yan, Qina
AU - Zharnitsky, Inna
AU - McHenry, Kenton Guadron
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/22
Y1 - 2015/10/22
N2 - DIBBs Brown Dog is a recent cyberinfrastructure effort which aims to create two new services to aid users in the searching, accessing, and usage of digital data and provide these services in a manner that is as broadly and easily accessible as possible. At its lowest level, the Data Access Proxy (DAP) providing file format conversion capabilities and the Data Tilling Service (DTS) providing content based extractions, will be accessible via a deliberately compact REST interface. On top of this a number of client libraries and applications can and are being constructed to even further reduce the overhead of accessing the provided functionality (e.g. libraries in Javascript, Python, R, Matlab and interfaces such as bookmarklets, browser extensions, and other standalone applications). At the heart of the two services, however, is their extensibility, allowing one to potentially incorporate any library or tool as a conversion or extraction component within the services towards both the leveraging of the functionality they provide as well as the preservation of the tools themselves.
AB - DIBBs Brown Dog is a recent cyberinfrastructure effort which aims to create two new services to aid users in the searching, accessing, and usage of digital data and provide these services in a manner that is as broadly and easily accessible as possible. At its lowest level, the Data Access Proxy (DAP) providing file format conversion capabilities and the Data Tilling Service (DTS) providing content based extractions, will be accessible via a deliberately compact REST interface. On top of this a number of client libraries and applications can and are being constructed to even further reduce the overhead of accessing the provided functionality (e.g. libraries in Javascript, Python, R, Matlab and interfaces such as bookmarklets, browser extensions, and other standalone applications). At the heart of the two services, however, is their extensibility, allowing one to potentially incorporate any library or tool as a conversion or extraction component within the services towards both the leveraging of the functionality they provide as well as the preservation of the tools themselves.
KW - Autocuration
KW - Big data
KW - Civil and environmental engineering
KW - Content based extractions
KW - Cyberinfrastructure
KW - Ecology
KW - File format conversions
KW - Social science
UR - http://www.scopus.com/inward/record.url?scp=84959049738&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959049738&partnerID=8YFLogxK
U2 - 10.1109/eScience.2015.60
DO - 10.1109/eScience.2015.60
M3 - Conference contribution
AN - SCOPUS:84959049738
T3 - Proceedings - 11th IEEE International Conference on eScience, eScience 2015
SP - 264
EP - 267
BT - Proceedings - 11th IEEE International Conference on eScience, eScience 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on eScience, eScience 2015
Y2 - 31 August 2015 through 4 September 2015
ER -