Instruction & Outreach

Love Your Data Week
Audience: varies by the year
Description: The purpose of the Love Your Data (LYD) campagn is to raise awareness and build a community to engage on topics related to research data management, sharing, preservation, reuse, and library-based research data services. We will share practical tips, resources, and stories to help researchers at any stage in their career use good data practices.

I conceived of this event in 2015, inspired by my Library’s annual I (heart) UL event that gathers input from students about what they like (and don’t) about our Library. With help from a great planning committee, we launched the first annual Love Your Data Week in 2016. In 2017, the event grew tremendously – from ~20 participants in 2016 to more than 130! We also had significant (and unexpected) participation from Europe and Australia. Currently, we are figuring out how to grow this event in a sustainable way.
Love Your Data Week website

Citation & Altmetrics for Promotion & Tenure Dossiers
Audience: faculty
Description: In partnership with the Office of Academic Affairs, librarians at University Library provide guidance and support for faculty in disseminating and evaluating the impact of their scholarly products through citation metrics, web metrics, and altmetrics. The content that I have developed for these workshops is available at Slideshare.

Data Management Lab
Audience: graduate students, faculty researchers, research staff
Description: This workshop teaches practical strategies for managing research data using a combination of hands-on activities, discussion, and lecture. The goal is to improve the data management practices of IUPUI researchers to facilitate data integrity and enable sharing and reuse.

  • data management plans & planning
  • documentation & metadata
  • data quality
  • ethical & legal issues in data sharing & reuse

Materials for version 2.0 available on Slideshare

NIH Data Sharing Policy
Audience: Faculty researchers, research administration, grant writers
Description: Data sharing promotes many goals of the NIH research endeavor. It is particularly important for unique data that cannot be readily replicated. Data sharing allows scientists to expedite the translation of research results into knowledge, products, and procedures to improve human health. Do you know what a data sharing plan should include? Are you aware of common practices and standards for data sharing? Do you know what services are available to help share your data responsibly? This workshop will begin to address these questions. Q&A will follow the presentation. Anyone interested in or planning to apply for NIH funding should attend. Note: The NIH data-sharing policy applies to applicants seeking $500,000 or more in direct costs in any year of the proposed research and specific RFA and PA. 

Slides available

Meeting the NSF Data Management Plan Requirement: What You Need to Know
Audience: Faculty researchers, research administration, grant writers
Date: offered quarterly

Description: As of January 18, 2011, the National Science Foundation now requires a Data Management Plan for all new proposals. This plan should describe how the proposed study will disseminate and share the collected research results. Do you know what this plan should include? Are you aware of best practices and standards for data management, sharing, and curation? Do you know what support services are available at IUPUI? This workshop will outline the process of developing a data management plan, provide resources for DMP development, and introduce data services available on campus. Q&A will follow the presentation. Anyone interested in or planning to apply for NSF funding should attend.

Slides available

Practical Data Management
Audience: graduate students
Description: The exact content varies depending on the course, but includes one or more of the following topics:

  • research ethics and integrity, responsible conduct of research, reproducibility
  • data management planning
  • documentation and metadata
  • storage and backup
  • quality control, quality assurance, and security
  • data sharing, citation, and reuse

Information Literacy Tutorials
Audience: MPH (Master’s in Public Health) graduate students

  • developing a question
  • develop searching strategies
  • searching databases – basic & advanced
  • synthesizing the evidence
  • attribution & citation
  • plagiarism
  • APA & Endnote
  • peer review & current issues in publishing

Information Literacy Instruction Sessions
Audience: public health undergraduate & graduate students

  • database searching principles
  • advanced techniques for specific databases: PubMed, Ovid, ProQuest Public Health, eHRAF, PsycINFO
  • synthesis and critical appraisal

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