BETYdb Data Entry Workflow
BETYdb.orgGitHub
  • Introduction
  • Getting Started
  • Finding and Preparing Published Data
    • Preparing Published Data
  • Entering Meta-Data
    • Adding a citation
    • Adding a Site
    • Adding a Treatment
    • Adding Managements
    • Adding PFTs, Species, and Cultivars
  • Adding Trait and Yield Data
    • Web Interface
    • Bulk Upload
    • Adding Traits via the V1 API
  • Appendices
    • Quality Assurance
    • Extracting Data From Figures
    • Estimating SE from Summary Statistics
    • Common Unit Conversions
  • Acknowledgements
Powered by GitBook
On this page

Was this helpful?

Export as PDF

Finding and Preparing Published Data

PreviousGetting StartedNextPreparing Published Data

Last updated 7 years ago

Was this helpful?

BETYdb is designed for both previously published data and 'primary' data. Most of this documentation assumes that you have already identified a data set that you want to upload, or have a set of papers from which you would like to extract data and summary statistics.

Meta-analyses

If you are planning to do a meta-analysis, even if this is not your first time, please read 'Uses and Misuses of Meta-analysis in Ecology" \cite{Koricheva_2014}. Many texts are available, but the recent "Handbook of Meta-analysis in Ecology and Evolution" is probably the most comprehensive and specific for plant sciences.

For a meta-analysis, the first step is to find papers that contain the target data.

The easiest approach to use a search engine such as , , or . Starting with queries such as "scientific name + trait", and allowing these results to guide further queries. Often, the references (particularly of meta-analyses and reviews) and forward citations will point to other studies.

Another starting point for the programmatically inclined - which aids in documenting searches - is to submit queries programmatically. Carl Davidson wrote a to search for citations based on species and trait name. In addition, the rOpenSci project has a .

Web of Science
Google Scholar
Microsoft Academic Search
python script
suite of R packages for searching publications