Scientific data infrastructure for sustainability science mobile applications

Katherine G. Herbert; Emily Hill; Jerry Alan Fails; Joseph O. Ajala; Richard T. Boniface; Paul W. Cushman

doi:10.1109/BigData.Congress.2014.130

Scientific data infrastructure for sustainability science mobile applications

Katherine G. Herbert
, Emily Hill
, Jerry Alan Fails
, Joseph O. Ajala
, Richard T. Boniface
, Paul W. Cushman

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

With the recent ecological and volatile climate issues, numerous concerns have arisen which have led to the rapid growth of sustainability sciences. In sustainability studies and related areas such as crisis data management, multiple communities need to interact and contribute data, and then have this data modeled for them in an effective manner. The National Science Foundation Advisory Committee for Environment Research and Education states that, 'Because of the complex relationships among people, ecosystems, and the biosphere, human health and well-being are closely linked to the integrity of local, regional and global ecosystems.' In our work, we look towards developing a mobile application platform that allows data integration for multiple information sources that allows the user flexibility to learn about and actively participate in understanding and helping their environment. In this paper, we address our current work with the scientific aspects of this data.

Original language	English
Title of host publication	Proceedings 2014 IEEE International Congress on Big Data
Editors	Peter Chen, Peter Chen, Hemant Jain
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	804-805
Number of pages	2
ISBN (Electronic)	9781479950577
DOIs	https://doi.org/10.1109/BigData.Congress.2014.130
State	Published - 22 Sep 2014
Event	3rd IEEE International Congress on Big Data, BigData Congress 2014 - Anchorage, United States Duration: 27 Jun 2014 → 2 Jul 2014

Publication series

Name	Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014

Other

Other	3rd IEEE International Congress on Big Data, BigData Congress 2014
Country/Territory	United States
City	Anchorage
Period	27/06/14 → 2/07/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Data Integration
Scientific Big Data
Sustainability Science

Access to Document

10.1109/BigData.Congress.2014.130

Cite this

Herbert, K. G., Hill, E., Fails, J. A., Ajala, J. O., Boniface, R. T., & Cushman, P. W. (2014). Scientific data infrastructure for sustainability science mobile applications. In P. Chen, P. Chen, & H. Jain (Eds.), Proceedings 2014 IEEE International Congress on Big Data (pp. 804-805). (Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.Congress.2014.130

Herbert, Katherine G. ; Hill, Emily ; Fails, Jerry Alan et al. / Scientific data infrastructure for sustainability science mobile applications. Proceedings 2014 IEEE International Congress on Big Data. editor / Peter Chen ; Peter Chen ; Hemant Jain. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 804-805 (Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014).

@inproceedings{9c6bc9e3548a4489a5c57b1dba23a2fb,

title = "Scientific data infrastructure for sustainability science mobile applications",

abstract = "With the recent ecological and volatile climate issues, numerous concerns have arisen which have led to the rapid growth of sustainability sciences. In sustainability studies and related areas such as crisis data management, multiple communities need to interact and contribute data, and then have this data modeled for them in an effective manner. The National Science Foundation Advisory Committee for Environment Research and Education states that, 'Because of the complex relationships among people, ecosystems, and the biosphere, human health and well-being are closely linked to the integrity of local, regional and global ecosystems.' In our work, we look towards developing a mobile application platform that allows data integration for multiple information sources that allows the user flexibility to learn about and actively participate in understanding and helping their environment. In this paper, we address our current work with the scientific aspects of this data.",

keywords = "Data Integration, Scientific Big Data, Sustainability Science",

author = "Herbert, \{Katherine G.\} and Emily Hill and Fails, \{Jerry Alan\} and Ajala, \{Joseph O.\} and Boniface, \{Richard T.\} and Cushman, \{Paul W.\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 3rd IEEE International Congress on Big Data, BigData Congress 2014 ; Conference date: 27-06-2014 Through 02-07-2014",

year = "2014",

month = sep,

day = "22",

doi = "10.1109/BigData.Congress.2014.130",

language = "English",

series = "Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "804--805",

editor = "Peter Chen and Peter Chen and Hemant Jain",

booktitle = "Proceedings 2014 IEEE International Congress on Big Data",

}

Herbert, KG, Hill, E, Fails, JA, Ajala, JO, Boniface, RT & Cushman, PW 2014, Scientific data infrastructure for sustainability science mobile applications. in P Chen, P Chen & H Jain (eds), Proceedings 2014 IEEE International Congress on Big Data. Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014, Institute of Electrical and Electronics Engineers Inc., pp. 804-805, 3rd IEEE International Congress on Big Data, BigData Congress 2014, Anchorage, United States, 27/06/14. https://doi.org/10.1109/BigData.Congress.2014.130

Scientific data infrastructure for sustainability science mobile applications. / Herbert, Katherine G.; Hill, Emily; Fails, Jerry Alan et al.
Proceedings 2014 IEEE International Congress on Big Data. ed. / Peter Chen; Peter Chen; Hemant Jain. Institute of Electrical and Electronics Engineers Inc., 2014. p. 804-805 (Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Scientific data infrastructure for sustainability science mobile applications

AU - Herbert, Katherine G.

AU - Hill, Emily

AU - Fails, Jerry Alan

AU - Ajala, Joseph O.

AU - Boniface, Richard T.

AU - Cushman, Paul W.

PY - 2014/9/22

Y1 - 2014/9/22

N2 - With the recent ecological and volatile climate issues, numerous concerns have arisen which have led to the rapid growth of sustainability sciences. In sustainability studies and related areas such as crisis data management, multiple communities need to interact and contribute data, and then have this data modeled for them in an effective manner. The National Science Foundation Advisory Committee for Environment Research and Education states that, 'Because of the complex relationships among people, ecosystems, and the biosphere, human health and well-being are closely linked to the integrity of local, regional and global ecosystems.' In our work, we look towards developing a mobile application platform that allows data integration for multiple information sources that allows the user flexibility to learn about and actively participate in understanding and helping their environment. In this paper, we address our current work with the scientific aspects of this data.

AB - With the recent ecological and volatile climate issues, numerous concerns have arisen which have led to the rapid growth of sustainability sciences. In sustainability studies and related areas such as crisis data management, multiple communities need to interact and contribute data, and then have this data modeled for them in an effective manner. The National Science Foundation Advisory Committee for Environment Research and Education states that, 'Because of the complex relationships among people, ecosystems, and the biosphere, human health and well-being are closely linked to the integrity of local, regional and global ecosystems.' In our work, we look towards developing a mobile application platform that allows data integration for multiple information sources that allows the user flexibility to learn about and actively participate in understanding and helping their environment. In this paper, we address our current work with the scientific aspects of this data.

KW - Data Integration

KW - Scientific Big Data

KW - Sustainability Science

UR - https://www.scopus.com/pages/publications/84923865543

U2 - 10.1109/BigData.Congress.2014.130

DO - 10.1109/BigData.Congress.2014.130

M3 - Conference contribution

AN - SCOPUS:84923865543

T3 - Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014

SP - 804

EP - 805

BT - Proceedings 2014 IEEE International Congress on Big Data

A2 - Chen, Peter

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Herbert KG, Hill E, Fails JA, Ajala JO, Boniface RT, Cushman PW. Scientific data infrastructure for sustainability science mobile applications. In Chen P, Chen P, Jain H, editors, Proceedings 2014 IEEE International Congress on Big Data. Institute of Electrical and Electronics Engineers Inc. 2014. p. 804-805. (Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014). doi: 10.1109/BigData.Congress.2014.130

Scientific data infrastructure for sustainability science mobile applications

Abstract

Publication series

Other

UN SDGs

Keywords

Access to Document

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