Call agenda:
Review assessment questions to participants
Review agenda -- Hands on activities - any pre-installed software needed?
Timelines -- assessment to participants May 9 (out) May 16 (back); agenda out to participants - date?
Other details?
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v4:
DataONE Data Management Workshop
May 23-24, 2012
Santa Barbara, CA
Workshop Goals:
1) Provide an introduction to data management concepts and best practices
2) Gather feedback from each lesson from students in order to assess effectiveness
Presenters:
Viv Hutchison (USGS), Carly Strasser (UCOP), Heather Henkel (USGS), Nancy Hoebelheinrich (NSIDC), Mark Schildhauer (NCEAS)
AGENDA
Day 1
9:00 – 9:45 Welcome and Introductions (Viv)
9:45 – 10:45 Introduction to Data Management (Viv)
10:45 – 11:00 BREAK
11:00 – 11:30 Data Sharing (Carly) and Advertising your Data (Nancy)
11:30 – 12:30 Data Management Plans and Tools (Carly)
- HANDS-ON: Write a Data Management Plan
- Evaluation of learning materials
12:30 – 1:30 LUNCH
1:30 – 2:00 Data Entry Manipulation (Carly)
2:00 - 2:30 Quality Assurance/Quality Control (Carly)
2:30 – 3:30 - HANDS-ON: Data Organization Tips for Your Dataset
3:30 – 3:45 BREAK
3:45 – 4:45 Analysis and Workflows (Mark)
4:45 – 5:30 - HANDS ON: Demo of Sample Data to Analysis Environment
6:00 Group Dinner (optional)
Day 2
9:00 – 10:00 What is Metadata? (Viv)
The Value of Metadata (Viv)
Writing Quality Metadata (Viv)
10:00 – 10:30 - HANDS-ON: Writing a Metadata Record for Your Dataset
10:30 – 10:45 BREAK
10:45 – 12:00 - HANDS-ON: Writing a Metadata Record for Your Dataset
- 20 min Data Semantics (Mark)
12:00 - 1:30 LUNCH
1:30 – 3:00 Data Citation (Nancy)
- HANDS-ON: Create a Dataset Citation for Your Data
- HANDS-ON: Create a Citation for Data From Other Researchers
3:00 – 3:15 BREAK
3:15 – 4:00 Protected Backup and Data Preservation (Heather)
- HANDS-ON: Storing Data
4:00 – 5:00 Review of course material; Survey; Comments
5:00 Adjourn
Get From Participants: sample of the dataset in CSV format; send in advance if possible (or send a description of the structure, syntax and semantic content of it).....a week in advance of the course date.
Send out a note today asking what kinds of data the participants they plan to bring to the workshop (remind them it only has to be a sample)
Last Name First Name Stage Subject Institution
Abercrombie Parker Incoming Masters Computer scientist /geog Boston University
Aktaruzzaman Zaman Early stage (1 yr) Postdoc Civil Environmental Engineering University of Illinois at Urbana-Champaign
Albalasmeh Ammar PhD Candidate Environmental Systems UC Merced
Dworkin Ian Assistant Prof Ecology, Evolutionary Biology & Behaviour Michigan State
Eaker Chris Masters Candidate LIS University of Tennesse
Forrester Tavis PhD Candidate Ecology UC Davis
Frazier Heather PhD Candidate Geography UC Santa Barbara
Garcia Elizabeth PhD Candidate Geography UC Santa Barbara
Gilbreath Thomas PhD Candidate Ecology / Evolutionary Biology UC Irvine
Hartsough Peter Late stage (4 yr) Postdoc Hydrology Dept. of Land, Air and Water Resources
Hoagland Serra PhD Candidate Forestry Northern Arizona State
Judson Sarah Researcher (Masters level) Aquatic Ecology BLM/USU National Aquatic Monitoring Center
Kirchener Peter PhD Candidate Hydrology UC Merced
Laney Christine PhD Candidate Environmental Science / Engineering U Texas El Paso
Pai Henry PhD Candidate Environmental Systems UC Merced
Purcell Serenity Masters GIS Maryland / Smithsonian
Thorpe Andrew PhD Candidate Geography UC Santa Barbara
Vieli Lorena PhD Candidate Agriculture UC Santa Barbara
Whalen Matt PhD Candidate Ecology UC Davis
How would you rate the quality of the information presented during the lecture component of this lesson?
Comments on how it could be improved
How would rate the quality of the hands-on component of this lesson?
How would rate the quality of the instructor’s presentation of this information?
How useful was the information presented in this lesson to you personally?
Is there information that would be of use to you but was not covered in the lesson? If so, please describe
o During this session, we presented the following as best practices:
§ …
§ …
§ …
o Do you foresee obstacles to implementing these best practices in your work? How difficult do you think it will be to overcome these obstacles?
§ I am already doing this + Likert scale ranging from ‘may require some work to implement, but no serious obstacles’ to ‘insurmountable obstacles’ + not applicable to my work
o If you see significant obstacles, which of the following best describes the obstacles?
§ Not enough time
§ Not enough knowledge
§ Not enough technical support
§
o Please provide more information about the serious obstacles that you see to implementing these best practices in your work.