Title |
Structuring supplemental materials in support of reproducibility
|
---|---|
Published in |
Genome Biology, April 2017
|
DOI | 10.1186/s13059-017-1205-3 |
Pubmed ID | |
Authors |
Dov Greenbaum, Joel Rozowsky, Victoria Stodden, Mark Gerstein |
Abstract |
Supplements are increasingly important to the scientific record, particularly in genomics. However, they are often underutilized. Optimally, supplements should make results findable, accessible, interoperable, and reusable (i.e., "FAIR"). Moreover, properly off-loading to them the data and detail in a paper could make the main text more readable. We propose a hierarchical organization for supplements, with some parts paralleling and "shadowing" the main text and other elements branching off from it, and we suggest a specific formatting to make this structure explicit. Furthermore, sections of the supplement could be presented in multiple scientific "dialects", including machine-readable and lay-friendly formats. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 24% |
United Kingdom | 8 | 15% |
France | 3 | 6% |
Australia | 2 | 4% |
Denmark | 2 | 4% |
Germany | 2 | 4% |
Canada | 1 | 2% |
Ireland | 1 | 2% |
Switzerland | 1 | 2% |
Other | 2 | 4% |
Unknown | 19 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 26 | 48% |
Scientists | 25 | 46% |
Science communicators (journalists, bloggers, editors) | 2 | 4% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
United States | 1 | 3% |
Germany | 1 | 3% |
Unknown | 31 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Student > Bachelor | 5 | 15% |
Researcher | 5 | 15% |
Professor > Associate Professor | 3 | 9% |
Student > Master | 3 | 9% |
Other | 5 | 15% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 35% |
Computer Science | 6 | 18% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Medicine and Dentistry | 3 | 9% |
Engineering | 2 | 6% |
Other | 4 | 12% |
Unknown | 4 | 12% |