C H E L S E A M O A T S W R A 4 1 0
Writing and Database Technology: Extending the Definition of Writing - - PowerPoint PPT Presentation
Writing and Database Technology: Extending the Definition of Writing - - PowerPoint PPT Presentation
Writing and Database Technology: Extending the Definition of Writing in the Workplace C H E L S E A M O A T S W R A 4 1 0 I know, its late and you want to take a nap http://www.jest.com/video/3233/declaration-of-
I know, it’s late and you want to take a nap…
http://www.jest.com/video/3233/declaration-of-
war-against-justin-bieber-haters
Data Collection: Justin Bieber Haters
YouTube Username Group Title Video Title Name IP Address Where you live Photo Phone Number Websites Groups Videos Hateful Comments
Why Databases?
Nontechnical employees
can manage and compose their own data
Database retrieval Reports
Retrieval of information
They’re only valuable if you
can *do* something with them Turn data into information
and knowledge
Pull data of all Bieber haters
by location, user, etc. Supporting interpretive
needs
Improved communication
Who Uses Them?
Supervisors Marketing Finance—budgeting Production Reports Scheduling Sales Technical Writers
Wait, databases are rhetorical?
“If data reports are to serve readers’ needs for
recordkeeping and problem solving, then writers’ technological skills must serve their rhetorical aims and strategies.”
Where’s Rhetoric?
Rhetorical Activity: transformation of raw data into
meaningful information
Rarely taught in technical and professional writing Technological>Rhetorical skills
Too much time spent on data mining Not knowing how to use a technology fully Invention Delivery Arrangement
There’s the Rhetoric!
Zmud’s (1978) Four Qualities For Effective Data Reports
Quality of information Selecting the right scope and detail Sequencing, ordering, and chunking information
effectively
How would you chunk information for da Bieber haters?
Quality of meaning
Detailed Charge Report (DCR)
Identify Purpose Describe strategies for accessing and analyzing
Report has too much data Overly narrow content Random data Unintelligible data (unclear meanings) Unpresentable data (low legibility and layouts with little
difference)
Content and Form Needs and Purposes How do they derive information that they want? DCR’s full capabilities
Takeaways and Implications
How can database applications constrain and
enhance rhetorical choices?
Usability Rhetorical and technological skills are reciprocal
Mutually support and shape each other
Must learn the capabilities of databases that enable
us to achieve rhetorical aims
Invention Arrangement Delivery Organization Legibility