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ResearchMasters's Publication Web Interface (PWI) - Refresher
2 hours
| Target group: | Research administrative staff at school/departmental or faculty level who are required to enter research publications data for their work unit - and who already have one or more year's experience using ResearchMaster's Publications Web Interface.
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| Group size: | Maximum 12 |
| Level Level 2 program program: |
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Prior experience using ResearchMaster's Publications Web Interface (PWI) to enter publications data is mandatory, as are existing RM4 training and RM4 production database use accounts
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If your password has recently been reset, refresher training is required prior to production database password re-issue
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| Schedule: |
| Date: | To be advised |
| Time: | To be advised |
| Venue: | To be advised |
| Apply by: | To be advised |
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| Cost: |
To be advised
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| Catering: | Morning or afternoon tea will be provided |
| To apply: | Register your interest |
Overview
The focus of this workshop is to provide existing users of the ResearchMaster's Publications Web Interface (PWI) with the opportunity to identify aspects of the publications data entry process that may benefit from revision - and to consolidate understanding and practices in those areas. in addition, the refresher course promotes the importance of keeping up-to-date with changes to data entry practice in light of the reporting requirements of the ROF.
Intended Outcomes
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clarification of identified "trouble spots" and areas of ambiguity in performing publications module data entry
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understanding of how changes to business process requirements have impacted data entry methods
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a high degree of accuracy in the entry of publications data is obtained
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conformance with recent style-guide changes
Course Content
On completion of this workshop participants will:
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have a solid understanding of where problems can occur whilst performing publications module data entry
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be able to avoid common pitfalls
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have current knowledge of expected data entry standards and procedures, particularly in relation to the most recent data style guide released by the RQF Team
Learning Approach
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