Data Management / Curation Task Force, Meeting Agenda, Nov. 27, 2013


Material Information

Data Management / Curation Task Force, Meeting Agenda, Nov. 27, 2013
Series Title:
Data Management / Curation Task Force Materials
Physical Description:
Meeting agenda
Taylor, Laurie N.
Norton, Hannah
Garcia-Milian. Rolando
Bennett, Denise
Minson, Val
Aufmuth, Joe
Schwieder, Dave
Landor, Blake
Deumens, Erik
Ferl, Robert
Botero, Cecilia
Sullivan, Mark V.
George A. Smathers Libraries, University of Florida
Place of Publication:
Gainesville, FL
Publication Date:


Subjects / Keywords:
Data management
Data curation


Meeting agenda for the UF Data Management / Curation Task Force.

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University of Florida
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University of Florida
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Data Management/Curation Task Force 1 Wed. Nov 27 2013, 1 2pm ; Marston Science Library L107 Members : Hannah Norton, Laurie Taylor Rolando Garcia Milian, Denise Bennett, Val Minson, Joe Aufmuth, David Schwieder, Blake Landor, Mark Sullivan, Sara Russell Gonzalez, Erik Deumens Robert Ferl and Cecilia Botero ; Invited: Matt Gitzendanner and Aaron Gardner Draft Agenda Updates and Discussion: Discussion/updates from work and activities of interest at UF and external Work towards Year One Report next steps with strategic recommendations noting specific problems/ projects 12/11 meeting : Mark Sullivan presenting on the IR@UF data support now, and possible for futures o Question /discussion topic: T ool/portal to provision din ky databases and data websites ( similar to what REDCAP does for clinical trial surveys) Notes Toward Year One Report Survey: recommendation for the libraries to do an annual survey o Consistent focus on data Research Computing HiPerGator, and HPC o Added/changed sections as needed for data activities Possible recommendations for librarians right now o For ALL LibGuides, add DATA page Include links to subject repositories Include link to IR@UF Include link to D ata website Include link to DMPTool Review of Big Data, Little Data event evaluations and feedback (overall for future events, trainings, and for reporting key points) Dinky Databases 2 ETDs and data IR and ORCID Visualization Creating data project page 3 options for managing it, and way to connect/provide context for case studies Creating case study listing for research data for projects/groups that are excellently managed (and t hus link to resources on campus that are supporting) Support for collaboration among/across groups o DH Academic Production Specialist in SPOHP o Relevant existing as well as new positions with the Informatics Institute o D ifferent areas, different staf f hiring classifications, etc.; including support for collaboration across most 4 1 Data Management: ht tp:// & DMCTF resources: 2 3 Possibly like that for DH: DigitalHumanitiesProjects 4 To support connecting are neither research engineers nor enterprise systems, possess ing skills from programming, system administration, database administration/engineering system analysis, application development etc They work both at web scale (many dependencies and interactions large scale and live environment etc. ) and


Identification of specific ways to reach data goals Organize recommendations by places/staffing/times at different library branches, like InfoCommons in LW. Activities related to Research Computing outreach (in collaboration with RCAC) Define specific needs/goal s and create supports or a plan so that librarians can support, use, and promote the IR@UF for data, when applicable/appropriate o Developing guide on when and what type of data to submit to the IR o Planning for how the group can approach future work, possib ly for d eveloping specific cases (as with DVN) for campus needs, and then translating into functional and non functional requirements specifications for data support within the IR, or elsewhere (with defining when, where, and how appropriate, etc.) Plan f or integration with existing trainings and new trainings (SobekCM and data, reference and data, Plan for i ntegration with existing related library events ( GIS Day, DH Day InfoCommons events, etc. ) Plan for integration with courses and for developing new courses o Integration with existing classes (e.g., team taught classes with Subject & Library Faculty; examples: Preserving Archives, Graduate Research Methods, etc.) o Integration with new courses in development ( e.g., team taught classes with Subject & Library Faculty; examples: Digital History Lab; Introductory Concepts in Research Computing) o Data courses Collaboration with Sara and the Instruction Committee for possible new data literacy course (could, in some ways, parallel support for the information literacy course); possible new group on this for next year? Group structure : recommend remaining as is, changes, additions? Changing regular meeting days/times? o What goals can be met through connecting to related groups and how should this be done? Possib le example: Connecting with Sara as a member of DMCTF and the Library Instruction Committee for support on a Data Literacy course like th at of the Information Literacy course o As a task force or as a committee, with task forces? o Already best, or how to bes t connect for questions on: copyright and rights; records management; born digital records group in special collections; etc.? o New structures? Possible examples: Content Stewardship at PSU ( ), Center for Digital Research and Scholarship at Columbia, etc. Upcoming events scheduled and to be discussed /planned Nov. 20: GIS Day 5 o In future years, combining data event like 10/3 with GIS day? Zotero workshops (citation management software for data in bibliographic databases and connects to many tools for text/data mining) DMPTool, scheduling hands o n training Workshop for outreach for HiPerGator Resources Meetings: alt. Wed.; HSC Library C2 41, Library West 429, Marston Science Library L107 with work defined in relation to research needs (exacting standards, data loss/corruption unacceptable nee d s for provenance auditing and etc.), often acting as translators and glue people and ideally positioned for collaboration with the libraries for campus wide data support Leta Hunt, Marily n Lundberg, and Bruce Zuckerman ( inator ) provide an extended explanation of application engineers 5


Ongoing Planning and s upporting different informational training, and outreach activities and events on dat a and related resources like HiPerGator W orkshops (types for different groups: researchers, and data service provider s ); known needs: o DMP Tool for Librarians (and other Data Liaisons/Supporters to be identified) o DMP Tool and creating a plan o Possible workshop: Primer on Data Management, 2 hour version, expanded primer within 2 day workshop, co taught with teaching faculty in field; expanded primer within lab style courses as with research and methods courses, etc. Deadlines /Events November: o P resenting to libraries; work on survey result analysis ; RC Day; GIS Day o Work towards larger Year One report and strategic directions/recommendations o Quarterly report due for July September 2014 January: o Quarterly report due for October December o Year One R eport, draft due to group 6 2014 February: o Year One Report due to Deans of the Libraries o Future surveys/data gathering for feedback on data needs with possible questions 7 6 See charge and notes: Draft proposed recommendations as whitepapers for review/approval/implementation to include: level role in support of data management and curation; proposin g a corresponding framework and resources for library support of the data life cycle; recommending the role of the institutional repository and research computing in storing, finding, and accessing working and final data, and linking publications to suppor ting data; and, recommending a framework for liaisons and subject specialists to incorporate data instruction and consultation into their wor kflows. Outline with detailed plan for training and other supports based on information gathered during Focus Group s, survey, and other activities; plan for ideal (more resources) and for conservative (current resources); Outline with detailed information on ho w the IR fits in the overall supports for data; and same for other applicable resources that can be used/lever aged as is now, and detailed information on how to enhance or make best fit 7 Possible questions: -How would you like authenticated users to be able to interact with the data on line, if you were to make it available? [Download only; Search on site, no download; Run statistical analysis across my data; etc.] -What type of data visualizations would you like authenticated users to have access to regarding my data on line? [A, B, C, D, etc., write in] -If you (or other authenticated users) could add i ndividual records through a form on the online system, would you transfer the data to the system and rely on it for working access and long term preservation?


Initial Draft for Discussion The initial draft notes below are towards a possible c ourse to aid in t ranslation c ompetency with d ata (for working with Data Scientists, no prereqs, not necessarily heavily technical, etc.) The course could draw on theories of the database age, procedural rhetoric, data provenance for reproducible researc h, and help frame questions and learning for changes in working, thinking, and doing scholarship and research overall in the Data Age. Readings could include Manovich Bogost ( Persuasive Games : h the authorship of rules of Introductory Concepts in Research Computing 3 Credits Fall/Spring, or Summer A/B compressed course Undergraduate/Graduate sections possible (at what level?) Purpose Working because it involves harnessing com puter power to examine more sources than is possible by any individual or team. This course is an introduction to the basic concepts that will enable students to collaborate with computer scientists to develop or support computational research projects in different fields. The primary goals of the course are to help researchers to determine what types of data modeling tools to use for their research, and to provide an introduction to associated computing concepts. This course will not teach or involve compu ter programming. Prerequisites : None. Anyone interested in using computers for research is encouraged to attend. Format Classes will be part lecture, discussion, and guided inquiry with hands on examples to work through different concepts and learn dif ferent programs. Students will produce a computational research proposal at the end of the course. Course Content Overview of Research Computing, Common Uses and Tools What are Data, and Where Do They Come From? Computer Simulations The Monte Carlo Method GIS Data Mining and OCR Visualizations and Everything Else Unit Operations Procedural Rhetoric Grounded Theory Approaches to Analysis (Functional and non Functional Requirements) Introdu ction to *nix and Shell Scripting Other Systems Operations Overview of Applications, Programming Languages, and Libraries used in Research Commercial Software Examples Open Source Software Package Managers Scripting Languages High Performance Compiled Languages Brief Overview of Parallel Computing Techniques and Resources GPUs and Moving Data On Campus resources: HiPerGator Data Management Data Storage and Curation Ethics of Big Data