Data Use Policy
D. Guidelines regarding collaborations, authorship, and acknowledgement
Table 3 . Contacts for use of site and species data, and scheduled release years for those data.
Data Type |
Research Contacts |
Release date |
Trait data –
|
Sarah Johnson, Kathryn Amatangelo, Don Waller |
2012 |
Trait data –
|
Sarah Johnson, Kathryn Amatangelo, Don Waller |
2013 |
Soil data –
|
Dave Rogers, Don Waller |
2011 |
Soil data –
|
Sarah Johnson, Don Waller
|
2014 |
Landscape data – |
Dave Rogers, Volker Radeloff |
2011 |
Landscape data – |
Sarah Johnson, Kathryn Amatangelo, Don Waller |
2014 |
Light data |
Dave Rogers, Don Waller |
2012 |
For those wishing access to these data in advance of these release dates and/or opportunities for collaboration, please contact the researchers involved to discuss your particular interests and goals. We welcome collaborations and can provide expert guidance regarding the power, utility, and potential limitations of these data. To avoid unwanted overlap or duplications of effort, we also post a list of planned forthcoming papers that are making use of these data at:
http://docs.google.com/View?id=dg2xbhfc_74hzdk2tn8
We ask our colleagues and collaborators to be open and direct about their plans and expectations, e.g., by establishing clear a priori agreements for each authors’ role in a paper . As a courtesy and to assure good communication, we ask those using these data to join us in posing their titles and authors at this site. Those publishing work based on these data should also acknowledge the appropriate individuals listed in Table 1. Finally, we ask collaborators using these data not to share these data with other collaborators without first requesting permission from the appropriate researchers.
Authorship decisions clearly depend on context. We generally adhere to guidelines followed by many peer-reviewed journals, e.g., e veryone who is listed as an author should have made a substantial, direct, intellectual contribution to the work. For example they should have contributed to the conception, design, analysis and/or interpretation of data. Honorary or guest authorship should be avoided.