Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact 2017
DOI: 10.1145/3093338.3093376
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A Platform for Computationally Advanced Collaborative AgroInformatics Data Discovery and Analysis

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Cited by 9 publications
(7 citation statements)
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“…There are efforts to bridge data sharing and data privacy. For example, the platform under development by the International Agroinformatics Alliance will integrate secure data storage, granular data permissions, and options to register privately hosted data to facilitate data discovery and sharing while protecting privacy (Gustafson et al, 2017). Clearly this is an ongoing discussion that will require more research and conversations with stakeholders.…”
Section: What To Measure and Report?mentioning
confidence: 99%
“…There are efforts to bridge data sharing and data privacy. For example, the platform under development by the International Agroinformatics Alliance will integrate secure data storage, granular data permissions, and options to register privately hosted data to facilitate data discovery and sharing while protecting privacy (Gustafson et al, 2017). Clearly this is an ongoing discussion that will require more research and conversations with stakeholders.…”
Section: What To Measure and Report?mentioning
confidence: 99%
“…The second problem is related to the necessity to enable interoperability between datasets and infrastructures, and issues surrounding Open Data are being actively discussed internationally. Initiatives such as the IAA (International Agroinformatics Alliance), a coalition of public and private institutions hosted at the supercomputing facility at the University of Minnesota, USA [85], and the farmer-oriented Open Ag Data Alliance (openag.io) are steps in this direction, enabling interoperability of data, while also respecting security and privacy. Similarly, a number of initiatives in the context of European plant phenotyping (EPPN 2020 (http://eppn2020.plant-phenotyping.eu/), Trans-PLANT (http://transplantdb.eu/), ELIXIR-EXCELERATE (https://www.elixir-europe.org/excelerate/plants), EMPHASIS (http://emphasis.plant-phenotyping.eu/), among others) have tackled these issues by developing standardized protocols [83,86,87] and software frameworks for phenotyping experiments [82,88] following the FAIR data principles (Findable, Accessible, Interoperable and Reusable) [89].…”
Section: Harmonising Datamentioning
confidence: 99%
“…In these and similar contexts, agricultural hydroinformatics is expected to evolve with additional links to other fields of study and the development of new classes of tools and technologies. Accordingly, it may develop to (a) move the frontiers of the subfield currently known as AgInformatics or Agroinformatics (Gupta, 2009;De Montis et al, 2017;Gustafson et al, 2017) and (b) carry in its own right the sociotechnical implications of agricultural systems, an important aspect that is overlooked in the literature on agroinformatics (Sørensen et al, 2010;Lokuge et al, 2016;De Montis et al, 2017;Gustafson et al, 2017).…”
Section: The Conceptual Frameworkmentioning
confidence: 99%