DataONE Users Group
Jul 7th - 8th 2013
Chapel Hill, NC

Roundtable 5: Outreach / Education   10:50a-12:00p

Participants: Bob Sandusky, Sherry Lake, Ward Fleri, Thu-Mai Christian, Benjamin Branch, Barrie Hayes, Michele Hayslett, Dan Phipps, Inna Kouper, Vida Djaghouri, Dean Walton, Danianne Mizzy, Todd Vision

Talking points / Guiding Questions

• What needs for outreach/education exist in the community (beyond DataONE)?
• What solutions currently exist?
• What contribution can / should DataONE provide in this landscape?  How can that be best achieved?
  
  

Needs:

• Develop curricula for longer term courses; 1/2 credit, 1 credit, or 3 credit Data Management, Data life cycle
  • data consultancy training or mentorship to help IS students learn how to lead these classes
• Data ownership issues (people from students to PIs need help)
  • distinguish between different groups of stakeholders
• Take IS students out of the IS department and into the field where they may learn from researchers and researchers may learn from them.
  • internships
• National Assessment of Educational Progress for K-12 - Technology and Engineering Literacy Assessment (TEL)
• Next Generation Science Standards (NGSS)
• at MS/HS level, teach data management/digital curation
  • call it STEM, it will be fundable
• students collect data, but really don't know what to do with it
• Draft a position paper; use of core curriculum doesn't leave a lot of time for data management education
• Integrate data management into aspects of the curriculum
  • might be easier to implement than adding additional training/education for DM
• Data Life Cycle intersection with Scholarly Communication and repository awareness
• At graduate level, consider analysis and visualization training (i.e. how to communicate data analysis, etc.)
• Library needs to decide how to manage information literacy (technology, data, etc.) - transliteracy
• Supporting software training
  • People who may know about DM may need to know how to better use tools available to them (Adobe Illustrator, etc.)
  • communicating
• Awareness: people don't know that they have needs
  • survey for small groups
  • interviewing researchers about their research and along the way introducing DM topics (time intensive)
  • promote citizen science and informatics
  • RFP/RFA needs to have a requirement for a DM plan (i.e. requirements from funders)
  • open dialog
  • guidelines for DMP evaluation:  teach reviewers how to understand/review DM plans (Johns Hopkins developing a rubric to help evaluators rate/understand DM plans)
• Metrics on pipeline (workforce), technology change impacts
  • ensuring skills exist in the community to accomodate change
• Understanding value of the workforce (administration values individual contributions)
  • local (institutional)
  • national
    
    

Existing initiatives:

• UK's Digital Curation Center curriculum and roadshows  http://www.dcc.ac.uk/
  • basics of data management (Data Curation 101)
  • roadshow run by DCC
• Software Carpentry
  • mostly US/Canada but some international
  • roadshow on campus
  • franchised
  • instructors can be local
  • http://software-carpentry.org/
• School of Data
  • self-paced
  • online modules for various tools
  • http://schoolofdata.org/learn/
• NASA - taking datasets and subsetting them down for use on K-12 level
• Mantra - online training for librarians for DM
  • http://www.ed.ac.uk/schools-departments/information-services/about/organisation/edl/data-library-projects/mantra
• Lynda.com - similar to Software Carpentry
  • commercial 
  • any software
  • higher education +
  • online self-paced tutorials
• IMLS has funded data/information literacy courses
  • Minnesota/Cornell/Purdue online (see Dean Walton's research)
  • UMass eScience
• ESIP Shortcourses
  • http://wiki.esipfed.org/index.php/Data_Management_Course_Outline
  • "finished" products are:
  • http://commons.esipfed.org/datamanagementshortcourse
    
    

Role that DataONE can play in education/outreach:

• Link from DataONE to some of the available tools mentioned above
• DataONE as an advocate for data sharing, interoperability
• Case studies
  • power of interoperability/synthesis
  • digestible success stories (positive outcomes)
  • individual researchers' positive impacts 
  • video of actual people
  • standardizing data stories, coordination (template? standards?)
    • categorize existing case studies
    • RDA engagement interest group
  • Opportunities for Data Exchange (ODE) - EU effort
• Advocate for A vs B (open source/corporate)
  • assessment role
  • provide information rather than a recommendation from DataONE
• Examples of good practice
  • packaged with software materials, MN materials, etc.
  • 'Dryad Lab' as an example of identifying datasets that can be scaffolded into a part of an undergrad course
  • Data Driven Learning Guides (
• As alternative to 1- or 3- credit classes, make available plug-and-play modules
  • research
  • compliance
  • include grading rubrics in addition to the instructional material
• MOOCs
  • identify appropriate pedagogy frameworks
  • identify content
• DataONE currently provides 10 modules for data management, self-paced
  • thought about moving to a more online environment
  • certification/badges at completion
• Training
  • researchers
  • librarians
  • data managers
  • policy makers
  • journal editors
  • grant administrators
  • office of research
  • K-12?
  • undergraduates
  • citizen scientists
    
    

VOTING RESULTS

Case studies - 7
Plug and play modules - 6
Advocacy data sharing - 5
Examples of good practice - 1
Data set packaging for training - 1
Credit for training via DataONE - 1

Audiences
    librarians - 8
    office of research/grant administrators - 6
    policy makers - 1
    undergraduates - 1
    researchers - 3