Title |
ISA-TAB-Nano: A Specification for Sharing Nanomaterial Research Data in Spreadsheet-based Format
|
---|---|
Published in |
BMC Biotechnology, January 2013
|
DOI | 10.1186/1472-6750-13-2 |
Pubmed ID | |
Authors |
Dennis G Thomas, Sharon Gaheen, Stacey L Harper, Martin Fritts, Fred Klaessig, Elizabeth Hahn-Dantona, David Paik, Sue Pan, Grace A Stafford, Elaine T Freund, Juli D Klemm, Nathan A Baker |
Abstract |
The high-throughput genomics communities have been successfully using standardized spreadsheet-based formats to capture and share data within labs and among public repositories. The nanomedicine community has yet to adopt similar standards to share the diverse and multi-dimensional types of data (including metadata) pertaining to the description and characterization of nanomaterials. Owing to the lack of standardization in representing and sharing nanomaterial data, most of the data currently shared via publications and data resources are incomplete, poorly-integrated, and not suitable for meaningful interpretation and re-use of the data. Specifically, in its current state, data cannot be effectively utilized for the development of predictive models that will inform the rational design of nanomaterials. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Hong Kong | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 17% |
Scientists | 1 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 5% |
Spain | 3 | 4% |
United Kingdom | 2 | 3% |
Brazil | 1 | 1% |
Australia | 1 | 1% |
Bulgaria | 1 | 1% |
Unknown | 63 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 35% |
Student > Ph. D. Student | 22 | 29% |
Student > Master | 6 | 8% |
Student > Doctoral Student | 4 | 5% |
Other | 4 | 5% |
Other | 9 | 12% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 15% |
Computer Science | 11 | 15% |
Biochemistry, Genetics and Molecular Biology | 7 | 9% |
Chemistry | 7 | 9% |
Engineering | 6 | 8% |
Other | 21 | 28% |
Unknown | 12 | 16% |