Digital Measures Chair Training

1. Digital Measures Chair Training College of Education

2. This Training Will Cover: • Revisions to Screens to improve data quality • Common Data Errors, and a New Process for Correcting them • Running departmental reports • Information on Program Prioritization

3. 1. Screen Revisions • Summary Screen Information • On-Screen Data Entry Instructions • Re-organizing Screens—Required and Optional sections • Additional help text where needed

4. Enhanced Summary Information The Summary screen contains basic information for each record that has been entered. Fields on the summary screen will provide details to assist faculty in spot reviewing their work for potential errors. (eg. Status & Dates)

5. Revised Instructions • Highlight what to do to avoid common errors • Help faculty make informed ‘Which screen should I use’ decisions

6. Reorganized Entry Screens The fields are now divided into two sections. REQUIRED INFORMATION for reporting Reports will not run correctly if Example: “Status.” OPTIONAL INFORMATION SECTION Includes questions that may or may not be reported. Example: “Web Address”

7. 2. Common Data Errors;New Process for clean up

8. Common Themes in Missing Data Conference Sponsor/Location Incorrect contribution Status Dates Titles Entering contributions into the wrong screen. Service Roles Peer-Reviewed Status Grant $$ Published in Proceedings? Page number(s)/Issue The screens have been revised to better identifymissing data. These changes should reduce the number of data entry errors, making data entry easier for your faculty.

9. Primary Data Cleanup Issues for College of Education • Order of Authorship – Student entered citations often scrambled order of authorship * • Citation Placement – Many Non-Journal Articles placed under Journal Articles instead of Other Works * • Status / Date – The status is missing or does not agree with status date. • EG. Status = “Published” & Publication Date = blank * • EG. Status = “Submitted” & Publication Date = 12/4/2012 ** • Peer Reviewed status – Missing Peer Reviewed status *** * We can not update without extensive research ** We can update Status to match Publication Date *** We can update if journal is in Ulrich’s

10. How are Data Problems Corrected? Depends on the type of error • Corrections can be inferred from other data • Status = “Submitted” & Publication Date = 12/4/2012 • Corrections can be researched by a third party • EG. Status = “Published” & Publication Date = blank • Corrections are only known to faculty member • EG. Status = “Accepted” & Accepted Date = blank • Citations with scrambled order of authorship • Missing Journal Name • Missing Publication Type DM Admin Staff will correct Faculty or assistants will need to correct Faculty need to correct

11. Data Correction Process Faculty Enter Citations Data Load: Scheduled Classes Digital Measures Data Load: Grants & Contracts Faculty Correct Errors Data Quality Reporting System DM Admin Staff Enter Corrections Faculty Data Correction Reports New DQ Reporting System will identify data errors for DM Admin Staff to correct, and for faculty to efficiently correct.

12. Sample Faculty Data Correction Report(currently under development)

13. Running Reports for your faculty • Finding reports for my College • Selecting Whom to include • Selecting other criteria for report

14. How do I find reports for my college? Select “Run Custom Reports” on the leftClick down arrow,”1 Select the report to run”Listing of reports… COLL – college reports, followed by college and report UNIV – University wide reports ClickSelect Report button

15. 3 Select Whom to include. Run for 1 for more individuals. “Enabled Accounts”—include only the currently active faculty.

16. 4. Reports may run in several different formats including: Word, Excel and as a PDF. 5. Finally, click on “Build Report.”

17. Program Prioritization • Two years of scholarship and service data will be required • Training opportunities (live sessions, handouts and videos) will be made available for faculty needing assistance • Training website with FAQ’s is being developed. • What have you heard?

18. Summary Screen Revisions will make it easier for faculty to enter required data accurately Many data errors create report errors—missing items, wrong place, miscount New process to help faculty efficiently correct data errors that impede reporting Tips for running department reports CONTACT INFORMATION:Carlene Hansendigitalmeasures@boisestate.edu