Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Much of the value in scientific data is provided not only in the raw data but through the analysis of that data to derive published results. A study of the data analysis process for structural science has shown that various data sets derived from the raw data are of use to scientists and should be stored with the raw data. The Core Scientific MetaData model (CSMD) is used by a number of large scientific facilities to catalogue scientific data. The current version provides support to experimental scientists to access their raw data, facility managers for accounting for facility usage and other scientists who wish to re-use raw experimental data. , extensions to the CSMD are presented to describe the analysis process so that the provenance of the derived data can be captured. A pilot implementation incorporating derived data through this extended CSMD model has been trialled with experimental scientists. Remaining challenges to the adoption of CSMD and the tools it supports are considered. Highlights?  study the problem of managing provenance of derived data in scientific research. ? There are significant gaps in this increasingly important area. ? Extensions to the CSMD model are introduced to accommodate derived data. ? An implementation is described to showcase the practical employment of the model. ? The challenges and opportunities for adopting the extended model are discussed.
['Erica Yang', 'Brian Matthews', 'Michael Wilson']
I am writing a research paper on a idea Enhancing the core scientific metadata model to incorporate derived data
[{"from": "human", "value": "I am writing a research paper on a idea Enhancing the core scientific metadata model to incorporate derived data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Much of the value in scientific data is provided not only in the raw data but through the analysis of that data to derive published results. A study of the data analysis process for structural science has shown that various data sets derived from the raw data are of use to scientists and should be stored with the raw data. The Core Scientific MetaData model (CSMD) is used by a number of large scientific facilities to catalogue scientific data. The current version provides support to experimental scientists to access their raw data, facility managers for accounting for facility usage and other scientists who wish to re-use raw experimental data. , extensions to the CSMD are presented to describe the analysis process so that the provenance of the derived data can be captured. A pilot implementation incorporating derived data through this extended CSMD model has been trialled with experimental scientists. Remaining challenges to the adoption of CSMD and the tools it supports are considered. Highlights?  study the problem of managing provenance of derived data in scientific research. ? There are significant gaps in this increasingly important area. ? Extensions to the CSMD model are introduced to accommodate derived data. ? An implementation is described to showcase the practical employment of the model. ? The challenges and opportunities for adopting the extended model are discussed."}]