A Research Strategy for Environmental, Health, and Safety Aspects of Engineered Nanomaterials (2012) / Chapter Skim
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Appendix B: Implementation Scenarios: Informatics and Information-Sharing
Appendix B: Implementation Scenarios: Informatics and Information-Sharing
Pages 202-212
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From page 202... ...
There are a great many similarities between challenges in improving model development and challenges in improving method development. Both require a systems overview of the problem to encompass the needs of the entire community, both need continual iterative development of pilot efforts to elicit user requirements and enlist user support, and both have an interest in implementing advanced digital tools and applications.
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, including those relevant to the following scenarios. Method Development and Validation Scenario This scenario closely follows international recommendations for standard method development and validation and adds video technologies to accelerate the development of the methods and for training.
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2) Begin collaborative development of new methods and protocols only after preliminary video protocols and sufficient well-characterized nanomaterials are available to support method development and testing.
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The information infrastructure allows coordination among all participants in the collaboration, and although each participant may continue to perform its usual role, expansion of roles to new activities and products is possible. Model Development and Validation Scenario The informatics needs in Chapter 4 specified increasing the pace of model development and validation by leveraging digital technologies and applications; creating incentives for collaborative development and validation of models to estimate model error, uncertainty, and sensitivity more efficiently; providing platforms for continued improvement and testing of models; and archiving and curating model results.
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Developing reliable structure-property relationships and their underlying physical, chemical, and biologic mechanisms for nanomaterials requires joint, informed, experimental modeling activities across many disciplines. Although it is difficult to determine experimentally the mechanisms for the interactions of nanomaterials with their biologic environments using polydisperse and polymorphic materials, a modeling effort that applies representative structures and validated models may provide important insights.
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6) Use an initial pilot to archive, organize, curate, validate, and share predictive and probabilistic models and to set user requirements for a collaborative environment for developing and validating predictive models and submodels; organelle, cell, tissue, organ, system, organism, and ecosystem models; and probabilistic and risk models and submodels -- with their associated files, runtime parameters, and test suites.
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This scenario outlines steps that may be taken to accelerate the use of ontologies in achieving Semantic Web implementation for nanotechnology. It draws on the existing body of ontologies and expertise in semantic-tool development to provide a common infrastructure for semantic search to allow interoperable searching among databases curated by different scientific disciplines that return only what is specifically requested.
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Include mapping among terms having conceptual differences in terminology in different natural languages. A Scenario for a Data-Sharing Infrastructure for Nanotechnology The previous scenarios illustrated activities related to implementing required aspects of an informatics infrastructure: information content related to data quality and reliability, model quality and reliability, and the use of nomenclature and terminology for sharing, curating, and annotating information among disciplines.
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Scientific web sites routinely allow feeds and blogs, remote participation in experiments at user facilities are becoming common, and sites for collaborative software development reflect standard practice. Cloud computing also has rapidly emerged as a new freely available tool for management of data archives and computational resources.
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2011. Worldwide wwPDB Protein Data Bank [online]
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