Browsing by Subject "research data services"

Now showing 1 - 5 of 5
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    Expanding the table: The role of library data professionals in data governance
    (2022-03-16) Goben, Abigail; Coates, Heather L.; Briney, Kristin
    As research data management and sharing has become ubiquitous, the need for data governance — coordinated decision-making around research data across all levels of an institution — has come to the forefront. Data governance is needed to address immediate and changing issues such as emerging funder policies as well as the ongoing challenge of researchers leaving an institution. Data governance often falls under the purview of information technology units. However, this technocentric approach may conflict with the values and real world aims of university research, resulting in policies and practices that create additional barriers. Due to the traditionally hierarchical nature of research institutions, there is a need for broader engagement and representation in governance structures. Currently, data governance typically reflects the priorities and perspectives of those who are white, able-bodied, and male. While this is evolving, there is a specific need to identify and include the communities who have been previously excluded from decision-making and to ensure their participation in order to anticipate potential governance problems across a range of scenarios. Due to their familiarity with working across disciplines and throughout their organizations and expertise in areas like data sharing and preservation, library data professionals should be key partners in data governance processes. At our institutions, each of us has observed common challenges and witnessed the need for more participatory data governance practices. Seeing these issues, as librarians working with data, we’ve raised our voices and used our established credibility to bring together the disparate groups and to ensure library expertise is utilized when policy and practice decisions are being made. This presentation will explore current challenges in research data governance stemming from the dominant technocentric approach. We seek to extend the conversation and to identify opportunities for our community to advance more transparent and collaborative data governance practices.
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    Love Data Week website 2016 - 2020
    (2020-06) Coates, Heather L.; Atwood, Thea; Bass, Michelle; Condon, Patricia; Foster, Erin D.; Graebner, Carla; Ippoliti, Cynthia; Julian, Renaine; Karcher, Sebastian; Kouper, Inna; Neeser, Amy; Ratajeski, Melissa; Beke-Harrigan, Heidi; Hardeman, Megan; Vecchio, Julie; Wright, Stephanie; Yin, Wei; Glusker, Ann; Sahadath, Catie; Chaput, Jennifer; Hannan, Katie; Woodbrook, Rachel; Adamus, Trisha
    All pages from the Love Data Week event website are archived here in PDF. Love Data Week was established in 2016 as Love Your Data week. Originally created in the USA, it quickly grew to an international event in which a wide range of institutions, organizations, scholars, students, and other data lovers could celebrate their data. Coordinated by Heather Coates, the planning committee developed themes, wrote, curated content, developed activities, all to celebrate data in all its forms, promote good research data management strategies, ask hard questions about the role of data in our lives, and share data success and horror stories. Though the website is defunct, the event lives on, driven by the community.
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    NIH Data Management and Sharing Session 2: Practitioner Perspectives: Internal Outreach and Policy
    (2022-02-22) Coates, Heather L.
    The webinar introduces the basics of data management and the new requirements for data management and sharing (for NIH funded research) that will be in place beginning in 2023. This webinar will provide “practitioner perspectives” – i.e., data librarians sharing their opportunities, barriers, methods, and successes as they work toward improving data management practices at their institutions.
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    Practitioner Perspectives: Infrastructure
    (2022-04-26) Contaxis, Nicole M.; Coates, Heather L.
    The webinar introduces the basics of data management and the new requirements for data management and sharing (for NIH funded research) that will be in place beginning in 2023. This webinar will provide “practitioner perspectives” – i.e., data librarians sharing their opportunities, barriers, methods, and successes as they work toward improving data management practices at their institutions.
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    Training researchers how to manage data to produce better results, enable reuse, and provide for long-term access
    (2016-04-15) Coates, Heather L.
    The existing academic research workforce is ill equipped to manage research data using increasingly complex computing technologies available to them. Despite the availability of ever more powerful desktops, mobile technologies, and high performance cloud computing and storage, universities are failing to provide graduate students with adequate data management skills for research in academia or industry. The challenge for mid- and late-career faculty is even greater, given that it is much more difficult to change established research practices in the midst of ongoing projects. This skills gap puts at risk billions of research dollars, the integrity of vast quantities of research data, and the quality of life for millions of people. Providing faculty and students with the skills they need to collect, manage, and share their data effectively is a challenge many academic libraries are taking on. Though libraries may provide some technological solutions, our most valuable contributions lay in expertise and trust. We have the resources to fill this skills gap using our information management expertise, teaching skills, knowledge of the scholarly ecosystem, ability to facilitate conversation across departmental and disciplinary boundaries, and a uniquely holistic understanding of the scholarly record. At IUPUI, data management training is the foundation of our data services. This perspective is informed by the recognition that many graduate programs are not sufficiently preparing students to manage research data in this digital age. Before we can expect academic researchers to share, preserve, and curate their data, they must understand the value and importance of data management. This chapter will describe our initial foray into data management training, the lessons learned, and the next phase of our educational efforts. In developing the program, we drew upon best practices in instructional design and information literacy, literature on the lab experience in science, and data management expertise from various research communities. Focusing on teaching practical techniques for responsible data management, we use the data management plan as a tool for teaching as well as for research. The initial training offered at IUPUI has reached a diverse audience, many of whom were not identified as stakeholders when developing the curriculum. Development of the lab, assessment results, and modifications made to subsequent iterations will be described as a working example of an evolving data literacy program.