Data Discovery and Access Session Highlights at Carleton College

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Explore the insights shared by Kristin Partlo and Danya Leebaw, Carleton College's Reference and Instruction Librarians, on the intricacies of data discovery, the marriage of discovery and analysis, mechanisms for data discovery, and specific manifestations at Carleton. Gain a deeper understanding of the importance of data in curriculum and support models. Discover additional strategies for searching and unique thinking approaches needed for seeking data in a library setting.


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  1. Data Discovery and Access Kristin Partlo and Danya Leebaw Reference and Instruction Librarians, Carleton College Session for NITLE Series, Special Topics in Quantitative Analysis November 17, 2009

  2. Todays Agenda 1. Data Are Different 2. Presentation of Need Marriage of Discovery and Analysis 3. Mechanisms for Data Discovery 4. Specific Manifestations at Carleton 5. How About You?

  3. If You Take Away Nothing Else Data discovery is intrinsically tied To analysis To your curriculum and existing models of support

  4. Your Name Are you a: A. B. C. D. The weather where you are today Introductions Data librarian Subject librarian Technologist None of the Above Kristin Partlo Data and Subject Librarian Sunny but chilly Danya Leebaw Subject Librarian (Social Sciences) Bright and cold

  5. We Tell Our Students Searching for data is different from searching for other kinds of information in the library.

  6. We Tell Our Students Requires additional strategies and different ways of thinking about looking for information

  7. How Does the Need for Data Present Itself?

  8. Q: Im supposed to find a data set, and I wanted to find one on pollution. Do you know of any books that would have that kind of thing? Q: We need data -- anything for our regression -- well, maybe environmental. Q: I m writing a research proposal on political violence and whether there is a connection between that and political stability, but don t know what kind of data to use. Q: I m starting my comps [capstone project] idea for Economics and I found this really great article. How do I get at the data it cites, and how do I find more articles like this?

  9. Q: Im supposed to find a data set, and I wanted to find one on pollution. Do you know of any books that would have that kind of thing? Q: We need data -- anything for our regression -- well, maybe environmental. Q: I m writing a research proposal on political violence and whether there is a connection between that and political stability, but don t know what kind of data to use. Q: I m starting my comps [capstone project] idea for Economics and I found this really great article. How do I get at the data it cites, and how do I find more articles like this? Do these questions look familiar? Do you get questions like these at your reference desk and/or in appointments?

  10. Q: Im supposed to find a data set, and I wanted to find one on pollution. Do you know of any books that would have that kind of thing? Q: We need data -- anything for our regression -- well, maybe environmental. Q: I m writing a research proposal on political violence and whether there is a connection between that and political stability, but don t know what kind of data to use. Q: I m starting my comps [capstone project] idea for Economics and I found this really great article. How do I get at the data it cites, and how do I find more articles like this? Do these questions look familiar? Do you get questions like these at your reference desk and/or in appointments? Would you consider answering these questions to be providing support for data discovery?

  11. Need for Data Support Discovery Analysis

  12. Need for Data Support Discovery Analysis

  13. Need for Data Support Discovery Analysis

  14. Need for Data Support Discovery Analysis

  15. Need for Data Support Students seeking numeric information without much analysis Comps Students Discovery Students Analyzing Data Provided Them Analysis

  16. How Do We Meet the Need?

  17. Liberal Arts Colleges are Different Increasing emphasis on quantitative literacy initiatives on campuses, especially across the curriculum Also, social science focus on quantitative analyses Data support is virtual and personal Typically, LACs do not have physical data support centers We have fuzzy roles Often train on the job Who does what is fluid Data support is usually just one part of an individual s job Some data sets & data products are beyond our means Professional development from national organizations (IASSIST, ICPSR) is most attuned to research universities

  18. Support for Data Discovery Evolves from the Overall Service Model

  19. Who Provides Data Support at Liberal Arts Colleges? Information Technologists GIS Specialist, Others Librarians Faculty

  20. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Need Analysis

  21. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  22. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  23. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  24. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  25. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  26. Data Support at Carleton Librarians Technologists ? Discovery Faculty GIS specialist Math Lab Analysis

  27. Data Support at Carleton Librarians Technologists ? Discovery Faculty GIS specialist Matching variables to questions Codebooks Opening data files Descriptive statistics Math Lab Analysis

  28. Data Support at Carleton Librarians Technologists Discovery Faculty GIS specialist Math Lab Analysis

  29. What Mechanisms Are In Place to Help Students and Faculty Discover Data? Service Point for appointments and Drop-Ins Collections Web Guides Class & Assignment Support Faculty Development An Instructional Approach

  30. Collections Collections Subscription and membership resources Microdata (ICPSR, SSEDL) Aggregate data (WDI, IFS) One-time purchases LAPOP Government documents Free web resources

  31. Web Guides Web Guides LibGuides Subject: Comparative Political Data Course: Family Demography, Econ 395: various sections Overall: Data, Datasets, and Statistical Resources Delicious Kristin s Data Blog

  32. Service Points for Appointments and Drop-Ins Strengthen Cooperation Among Service Points Referrals Training general reference staff and subject librarians about data sources Team teach when possible

  33. Class & Assignment Support Economics Capstone research projects Principles of Macroeconomics Political Science Political Economy of Latin America Methods of Political Science Research Environmental Politics and Policy Sociology/Anthropology Myths of Crime Family Demography

  34. Faculty Development Involvement in the Quantitative Reasoning effort Increased credibility Helped some faculty see an expanded role for librarians E.g., more than just catalog searching Avoid weasel words. Don t just say many, say how many.

  35. An Instructional Approach Data fluency -- developing habits of research Data searching is frequently a matter of turning to the literature Learning to read the literature instrumentally Model good searching behavior

  36. Political Science 322: Political Economy of Latin America Extensive use of WDI, IFS, statistical compendia, LAPOP, Latinobarometro Collections Web guide used across department: Comparative Political Data Web Tools 25 individual library appointments (17 students in class) Reference desk drop ins Service Points Class & Assignment Support Librarian participation on class Moodle (e.g. sent resource suggestions) Faculty received QuIRK grant to increase quantitative literacy elements of course Faculty Development Instructional Approach

  37. Economics 110: Principles of Macroeconomics Free Government information online Statistical compendia, LexisNexis Statistical Collections Research guide to financial statistics available online and through library Web Tools Reference Desk Librarian available for appointments, chat, email, etc. Service Points Class & Assignment Support Faculty member heard librarian s presentation at a workshop and invited to help Faculty Development Brief presentation focused on understanding sources (BLS, Census, Fed, etc.) Instructional Approach

  38. Sociology 229: Family Demography General Social Survey ICPSR, Social Science Electronic Data Library Collections Web Tools Specialized web guide for course 15 individual library appointments (19 registered) Referrals to Academic Technologist for analysis help Service Points Class & Assignment Support Presentation on finding data Planned a team-taught session with Academic Technologist Faculty Development Instructional Approach ??

  39. This Is What We Do. How About You? Collections Web Tools Service Points Class & Assignment Support Faculty Development Instructional Approach

  40. Questions? Kristin Partlo kpartlo@carleton.edu 507.222.7668 Danya Leebaw dleebaw@carleton.edu 507.222.5179 Links from this presentation http://gouldguides.carleton.edu/datadiscovery

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