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Data Management Lab: Data mapping exercise instructions
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Data Management Lab: Data mapping exercise instructions

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Spring 2014 Data Management Lab: Session 1 Data mapping exercise instructions (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab) …

Spring 2014 Data Management Lab: Session 1 Data mapping exercise instructions (more details at http://ulib.iupui.edu/digitalscholarship/dataservices/datamgmtlab)

What you will learn:
1. Build awareness of research data management issues associated with digital data.
2. Introduce methods to address common data management issues and facilitate data integrity.
3. Introduce institutional resources supporting effective data management methods.
4. Build proficiency in applying these methods.
5. Build strategic skills that enable attendees to solve new data management problems.

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  • 1. IUPUI University Library Center for Digital Scholarship Data Management Lab: Spring 2014 Planning: Data Mapping Exercise Learning Objectives 1. Define expected outcomes for data. 2. Develop procedures for quality assurance and quality control activities. 3. Select appropriate tools and platforms for storing, managing, and preserving data. Instructions The purpose of this exercise is to help you to better articulate the relationships between the data and research aims. Scenario Research questions • Is there a correlation between peer interactions and body image? • Are there differences in body image between racial/ethnic groups? Planned analytic procedures Part 1: Create a table (either in Word or Excel) with the information listed below*. You can use the scenario above or complete the table based on your planned thesis or dissertation project. • Research questions (one per line) • Analytic procedure • Data points/variables/columns/fields • Source files Part 2: Add columns for the information listed below. • Data standards for each analytic procedure • Screening process to ensure data meet the quality standard • Potential data collection issues • Potential data entry issues • Potential data processing issues *If you do not have all the information you need to complete a section, make a note about what information you do need to finish planning. This process will help to identify gaps in your knowledge and improve the planning process. Resources http://toolkit.pellinstitute.org/evaluation-guide/collect-data/link-research-questions-and-collection-methods/ http://en.wikipedia.org/wiki/Data_model http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_048788.hcsp?dDocName=bok1_048788 Heather Coates, 2013