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## QA/QC with the Web Interface  Quality assurance and quality control (QA/QC) is a critical step that is  used to ensure the validity of data in the database and of the analyses  that use these data. When conducting QA/QC, your data access level needs  to be elevated to “manager”.  1. Open citation in Mendeley  2. Locate citation in BETYdb  - Select `Use`  - Select `Show`  - Check that author, year, title, journal, volume, and page  information is correct  - Check that links to URL and PDF are correct, using DOI if  available  - If any information is incorrect, click ’edit’ to correct  3. Check that site(s) at bottom of citation record match site(s) in  paper  - Check that latitude and longitude are consistent with  manuscript, are in decimals not degrees, and have appropriate  level of precision  - Click on site name to verify any additional information site  information that is present  - Enter any additional site level information that is found  4. Select  [treatments](http://www.betydb.org/treatments/) from  menu bar  - Check that there is a control treatment  - Ensure that treatment name and definition are consistent with  information in the manuscript  - Under “treatments from all citations associated with associated  sites”, ensure that there is no redundancy (i.e. if another  citation uses the same treatments, it should not be listed  separately)  - If managements are listed, make sure that managment-treatment  associations are correct  5. Check [managements](http://www.betydb.org/managements/) if  there are any listed on the treatments page.  - If yield data has been collected, ensure that required  managements have been entered  - If managements have been entered, ensure that they are  associated with the correct treatments  6. Click [Yields](http://www.betydb.org/yields/) or  [Traits](http://www.betydb.org/traits/) to check  data.  - Check that means, sample size, and statistics have been entered  correctly  - If data has been transformed, check that transformation was  correct in the associated google spreadsheet (or create a new  google spreadsheet following instructions)  - For any trait data that requires a covariate