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Overcoming the Law of the Hidden in Cyberinfrastructures.
Bucksch, Alexander; Das, Abhiram; Schneider, Hannah; Merchant, Nirav; Weitz, Joshua S.
Afiliação
  • Bucksch A; Department of Plant Biology, University of Georgia, Athens, GA 30602, USA; Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA; Warnell School of Forestry and Natural Resources, University of Georgia, GA 30602, USA; Previous address: School of Biology and School of Interactive
  • Das A; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Schneider H; Department of Plant Science, Pennsylvania State University, State College, PA 16802, USA.
  • Merchant N; Biotechnology Computing Facility, BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA; The iPlant Collaborative, BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA.
  • Weitz JS; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA. Electronic address: jsweitz@gatech.edu.
Trends Plant Sci ; 22(2): 117-123, 2017 02.
Article em En | MEDLINE | ID: mdl-28027865
ABSTRACT
Cyberinfrastructure projects (CIPs) are complex, integrated systems that require interaction and organization amongst user, developer, hardware, technical infrastructure, and funding resources. Nevertheless, CIP usability, functionality, and growth do not scale with the sum of these resources. Instead, growth and efficient usage of CIPs require access to 'hidden' resources. These include technical resources within CIPs as well as social and functional interactions among stakeholders. We identify approaches to overcome resource limitations following the conceptual basis of Liebig's Law of the Minimum. In so doing, we recommend practical steps towards efficient and scaleable resource use, taking the iPlant/CyVerse CIP as an example.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Biologia Computacional Idioma: En Revista: Trends Plant Sci Assunto da revista: BOTANICA Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Biologia Computacional Idioma: En Revista: Trends Plant Sci Assunto da revista: BOTANICA Ano de publicação: 2017 Tipo de documento: Article