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? ******************************************************************************************* 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.