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New Roles / New Rules: Information Professionals in Research Data Manageme…

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New Roles / New Rules: Information Professionals in Research Data Manageme…

  1. 1. New Roles / New Rules Information Professionals in Research Data Management Sally Gore, MS, MS LIS Informationist and Embedded Librarian Lamar Soutter Library University of Massachusetts Medical School HELLO MY NAME IS Sally
  2. 2. TODAY In this course you will explore the current relationships between libraries and their stakeholders seeking institutional support managing their research data. Data-intensive science and research are providing opportunities for new roles to emerge for information professionals. This course explores these roles and services, and uses the case study method to prepare participants from all academic backgrounds for roles in scientific research data management. This course aims to help prepare information professionals for engaging with scientists and for developing data management plans for their stakeholders' research projects. The course examines the data practices of researchers in scientific fields such as biomedicine and engineering to illustrate how researchers produce data, and how other researchers re-use these data for purposes of inquiry. We will explore the information tools used for research data management planning, research, data, and graduate student lifecycles, and we will explore a variety of strategies information professionals are using to provide data consultancy services to their institutions' researchers.
  3. 3. TODAY  What is the library’s role in RDM?  What is an embedded librarian?  What is a data librarian?  What is an eScience librarian?  Who is a data scientist? (I really have no idea.)
  4. 4. TODAY  What do I do?  How do I do it?
  5. 5. Data-intensive science and research are providing opportunities for new roles to emerge for information professionals. e· merg· ing (e-mûr´jing) Newly formed or just coming into prominence. e· volv· ing (e-volv´ing) To develop or achieve gradually. tran· si· tion· ing (tran-zish´en-ing) Passing from one form, state, style, or place to another. Research & ? Information Scholarly Literacy Informationist Communication Librarian s Librarian 2005 2008 2012
  6. 6. … the classic roles of libraries: • developing and preserving collections • developing access schema • developing services to meet information needs provide an important base from which to develop roles in eScience. The Data Deluge: Can Libraries Cope with e-Scien Marcum & George, editors
  7. 7. … the classic roles of libraries: • developing and preserving collections • of what? • developing access schema • what’s metadata? • developing services to meet information needs  Build networks – how?  “Middle Man” – aren’t we cutting them out?  Data LITERACY – are we data literate to begin with?
  8. 8. What do you think?  Professionals need an array of other competencies.  How much do the knowledge and skills requirements vary among roles? Let’s discuss!
  9. 9. Cynthia Fuhrmann, PhD, Asst. Dean, Career & Professional Development UMMS Graduate School of Biomedical Sciences
  10. 10. Varying Roles / Varying Skills  Informationist  Embedded Librarian ◦ “Promoting Breast Cancer Screening in ◦ Community Engagement Research Section of Non-Adherent Women,” R01 CA-132935 UMass Center for Clinical & Translational Science  AIMS  AIMS • Improve effectiveness and efficiency of communication w/in  Build a catalog of resources on the team regarding data topic that will serve as a foundation for research, program • Articulate technology issues development, and education. related to implementation of the study  Knowledge management services including lit searches, bibliographic • Enhance information management, data organization, management, management, information utilization and access skills of organization, database design, and team members knowledge mapping • Assess value of an  Research and assist development of informationist to the research tools and/or means to promote team collaborations between researchers
  11. 11. Skills (usual suspects) • Database Management • Database Design But then what? • Data Mining • Information Retrieval Systems • Improve communication • Natural Language Processing • Articulate problems • Research Methods • Enhance skills of others • Statistics • Build catalog of resources • Digital Preservation • Knowledge management • Information Architecture • Research & Development • Information Visualization What’s in your toolbox? Subject Knowledge and/or Expertise?
  12. 12. It is not Apple* that is causing smoking to decline at the incredible rate that it has over the last 20 or 30 years. It is a broad network of people - some of them working for government agencies, some of them just by word of mouth, some of them philanthropic organizations - that are kind of spreading the word and getting people to give up this dangerous habit. ~ Steven Johnson “Who Needs a Boss When You Have Your Co-Workers?” Megan Gambino Merto/Portrait by Nina Jacket design by Alex Subin *Read “technology and data”. Smithsonian.com, September 25, 2012
  13. 13. Kim, Y, Addom, B.K., & Stanton, J.M., (2011) Education for eScience Professionals: Integrating data curation and cyberinfrastructure, The International Journal of Digital Curation, 1(6), 125-138.
  14. 14. emerging evolving Skills + transitioning Being entrepreneurial in spirit o creative o risk-taking Being self-confident Being inquisitive Being comfortable with ambiguity People Skills
  15. 15. Traditional Non-traditional  Take a class  Take a class, but…  Earn a degree  WHAT ELSE??  Go to a workshop  Take CE classes  Go to professional Let’s meetings  Read, write, talk to discuss! colleagues  Job shadow But… Time & $$ Getting the Skills You Need
  16. 16. On the horizon…
  17. 17. TOP TIPS Personalising Library Services in Higher Education, Priestner & Tilley, eds.
  18. 18. R E A D
  19. 19. WRITE (share)  Blog posts  Thoughtful comments  Questions and discussion prompts on listservs  Tweets
  20. 20. TRY
  21. 21. Questions? Comments? Thoughts? Ideas? Cake? Thank You! Sally.Gore@umassmed.edu

Notas do Editor

  • Course Objective(s)
  • Class Objective (s)
  • The readings prior to your visit center on discussing the needed skill sets for librarians to engage in eScience/data management/embedded roles. If there is a specific blog post/reading on the embedded informationist that you would like students to have read before class or that you could recommend to us, please email me and I'll add it to the syllabus and will send it to students.
  • Add to this that the way we use information and data, in general, is providing a whole host of opportunities for new roles.USE = generate, create, utilize, manipulate, comodify, access, engage, take in, synthesize, understand…
  • Required Courses:IST 659 Data Administration Concepts and Database Management
IST 687 Applied Data Science

Elective CoursesChoose three from the specialization(s) of your choiceData AnalyticsIST 565 Data Mining
IST 657 Basics of Information Retrieval Systems
IST 664 Natural Language Processing
IST 718 Advanced Information Analytics
IST 776 Research Methods in Information Science and Technology
IST 777 Statistical Methods in Information Science and TechnologyData Storage and ManagementIST 558 Technologies for Web Content Management
IST 676 Foundations of Digital Data
IST 677 Creating, Managing, and Preserving Digital Assets
IST 722 Data Warehousing
IST 769 Advanced Database ManagementData VisualizationIST 553 Information Architecture for Internet Services
IST 719 Information VisualizationGeneral Systems ManagementIST 639 Enterprise Technologies
IST 645 Managing Information Systems Projects
IST 654 Information Systems Analysis
  • EXAMPLE:Monica and John - writers
  • Quote from “The Information Diet” – importance of creating information, not just consuming/using it

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