1. UF Implementation Lead, UF
Manual Data Entry
And Permissions
Valrie Davis
UF Implementation Lead, UF
Chris Case
UF IT Support, UF

2. Why Manual Entry?
Many tasks still require a data specialist to review the results afterwards to check the accuracy of the data.
The data specialists may manually enter any missed or incorrect information.
Keeping a log of incorrect information that should be scripted out of subsequent runs may also be a useful task.

3. Why Manual Entry? Lack of technical support
Data are available but not ingestable
Key stakeholders
Types of data: awards, education, work experience, committees, memberships, etc.
Many tasks still require a data specialist to review the results afterwards to check the accuracy of the data.
The data specialists may manually enter any missed or incorrect information.
Keeping a log of incorrect information that should be scripted out of subsequent runs may also be a useful task.

4. High Level Preparation
Prioritize data sources
Acquire CV or biosketch data through library outreach, local repositories, and webpage mining
Align manual entry standards with ingest standards
Hire Data Specialists (students)

5. Data Specialist Skill Requirements
A high school diploma and four years of any combination of relevant experience, education and/or certification required. The level of expertise and skill required to qualify for a position in this classification is generally attained through combinations of education and experience in the field. While such employees commonly have a bachelor's or higher degree, no particular academic degree is required.
Preferred Qualifications:
• Moderate words per minute typing skill (35 wpm)
• Microsoft Office Suite experience
• Database and SQL experience
• JSP and/or HTML experience
• Customer Service experience
• SPARQL, RDF, and OWL experience
• Manually input lists of items, contact information, and other data
• manipulate existing data, edit current information
• quality control checks
• records management
• Generate reports
• Retrieving data, run queries and generate reports
• Assist with data entry standardization

6. Get Started Document procedures Define the scope
Issue tracking and wiki
Escalation and issue discovery process
Identify team member to address the issue
Process to respond to end-user
Develop a phased approach
Tips:
Use a knowledge base or wiki to retain info on common problems and know solutions.
A ticket tracking system can assist in managing and maintaining lists of issues.
Notify affected parties to the issue to reduce redundant complaints.

7. UF Phased Approach Fall Spring Summer Engineering CLAS Health
Dentistry
Agriculture
Humanities
Education
Fine arts
Construction
Journalism
Law
Business
Fall
Spring
Summer

8. Procedure Documentation
Data entry procedures
Names (Davis, Valrie)
Committees under “service”, membership under “member of”
Issue identification (“missing information”)
Statistics reporting
Prioritization
Key stakeholders, individuals who ed CVs, phases, etc.
What would you like instructions to do?

9. Permissions
Currently all Data Specialists have greater privileges than we would like
1.3 will have a change in permissions, with addition of new “roles”
Must trust your Data Specialists

10. Managing the Process Communicate progress to the entire team
Follow up with Data Specialists and assist them as needed
Adjust scope of work, as needed
Manual entry can be efficient if you limit to particular data elements
If you limit to particular elements, be clear about which ones!
Spell check. Spell check. Spell check.