Inspired by Reid Boehm’s presentation “Beyond Pronouns: Caring for Transgender Medical Research Data to Benefit All People,” at the Research Data Access and Preservation Summit (RDAP) in March 2018, four librarians from the University of Minnesota (UMN) set out to create a LibGuide to support research on transgender topics as a response to Boehm’s identification of insufficient traditional mechanisms for describing, securing, and accessing data on transgender people and topics. This commentary describes the process used to craft the LibGuide, "Library Resources for Transgender Topics," including assembling a team of interested library staff, defining the scope of the project, interacting with stakeholders and community partners, establishing a workflow, and designing an ongoing process to incorporate user feedback.

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Learning how to wield data ethically and responsibly is a critical skill for data scientists, but one that is often lacking from traditional curriculum. Libraries have a long history of teaching data stewardship and sharing, and, in collaboration with collegiate research support entities, are good candidates to expose students engaging in data science to data ethics. This chapter presents four case studies on how the University of Minnesota Libraries and its partners have deeply integrated ethics into data management instruction. The chapter will highlight ethics for general data management instruction to undergraduate and graduate students from various disciplines, human subject data de-identification, qualitative methods and sharing, and biodiversity location data. Together, the case studies show how libraries and their partners are a natural fit to advance the work of data science curricula when it comes to managing data and the myriad ethical considerations that go along with this work.

Various disciplines have shown commitment to research reproducibility including the adoption of replicable search methodologies. With the development of reporting checklists and guidelines for systematic reviews, authors are expected to transparently report search strategies. Replicable search strategies are critical since the included studies will be screened for inclusion in some form of evidence synthesis which could have practice and policy implications. In cases where search strategies miss germane literature, studies could face criticism and difficulties in peer review. Search strategies containing non-alphanumeric or special characters may not retrieve pertinent literature due to a search platform's capacity for handling said characters. In this study, 40 platforms were tested using quotation characters and the absence of said characters to investigate platform behavior. This study found that 42.5% platforms ignored curly quotation marks and interpreted the test terms as a phrase, 30% of the platforms completed the phrase search, and one platform flagged curly quotation marks as an unsupported character.