Drop-in Help

Students and faculty are welcome to seek assistance without appointment in the following ways.

The Research/IT Desk (librarians and CarlTechs) on the 4th floor of the Library has librarians present weekdays 10 a.m. to 5 p.m., Sunday through Thursday evenings 7-9 p.m. and Sundays 1-5 p.m..

  • Finding data and statistics. Reference Librarians can help get you started finding statistics and data and can also refer you to a specialist for more help.
  • Basic software help. CarlTechs can help you with Excel. For help with advanced GIS and statistical analysis software, see the options for consultations below.

Data management drop-in sessions are available during the academic term hosted by the Quantitative Resource Center, Library, Academic Technologists, and others.

Consultations by appointment

For more extensive help identifying, accessing, and evaluating sources of data, contact:

  • your liaison librarian or, if you’re not sure who to contact, Kristin Partlo (kpartlo [at] carleton.edu or x7668, Libe 420)
  • Ex.: “Where can I find foreign direct investment data for these ten countries?”

For help managing, preparing and utilizing your data, contact:

  • Paula Lackie (x5607, Weitz 027)
  • Ex.: managing comps data, preparing data for analysis

For help managing, preparing and utilizing geospatial data, contact:

  • Wei-Hsin Fu (x5733, Olin 204)
  • Ex.: finding geospatial data, preparing data for use in GIS, creating a map

Class visits

Staff experts can visit classes to discuss data topics in light of a particular assignment or course goal. They can provide class-specific instruction on any of the aspects described on the I Want To page. 

Group workshops

Assignment groups or student groups outside of a class can arrange to meet with staff for hands-on guidance in any of the areas listed on the I Want To page. 

Project advising

Faculty planning a class, assignment, or research project can consult the local specialists about data-related questions such as using local infrastructure, planning workflows, and acquiring datasets and data collections for the library. Students pursuing independent research also have access to the local network of support to make their project successful.

Research guides, tutorials, local guidelines and other online resources

See the I Want To page for links to online resources arranged by topic. 

Library data collections

The library acquires data that can be used by anyone on campus. Learn more about the available collections on the library web site. Contact your subject liaison or Kristin Partlo to discuss adding to the collection or fill out the data request form.

Carleton Data Repository: Dataverse (pilot)

Faculty, staff, and students who produce data that needs to be kept over time and made available for other people to find and use for their research or teaching will want to put their data in a repository. Increasingly, grants stipulate that data produced in the course of a research project must be shared and made available openly for reuse. When a disciplinary repository is not available or not appropriate for the data, it may be more appropriate to host it at Carleton. Contact Paula Lackie or Kristin Partlo to discuss the pilot Carleton Dataverse repository.


When writing a data management plan for a funding agency, the process can be sped along by using an online tool like DMPTool that will smooth the workflow, add contextual information about Carleton resources, and break the requirements out into logical elements. Log in and select Carleton as your institution. Contact Paula Lackie or Kristin Partlo with questions.