Browsing by Subject "research data management"

Now showing 1 - 9 of 9
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    Building a community of practice: Situating data management in the transition to electronic lab notebooks
    (2019-05) Coates, Heather L.; Foster, Erin D.; Whipple, Elizabeth C.
    This poster will describe an information management initiative sponsored by the School of Medicine Research Administration. The 4-month pilot involved the rollout of an electronic lab notebook (ELN) system alongside tailored support for developing operational data management plans. Administrative drivers included improving lab efficiency and reducing institutional liability. The pilot primarily focused on the benefits of ELN use and formalizing data management practices. A key goal was to improve the collection of and access to experimental information and improve information management workflows. Integrating data management plan support as part of the ELN pilot contextualizes how the ELN fits into, and can potentially improve, existing lab workflows and highlights the unique information management needs of each research lab.
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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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    Finding common ground and identifying opportunities: Case study in data policy at an academic medical school
    (IUPUI University Library, 2023-11-21) Foster, Erin D.; Coates, Heather L.
    We present this paper to our colleagues as a case study of a well supported effort by a large medical school to actively engage researchers in data management by requiring the completion of data management plans. We will outline the people and roles involved in this initiative, the efforts to scope and adjust the mandate over the past three years, the communication and work to change research culture, the infrastructure used to create these plans, and the training and support provided throughout to the research community. We hope this work offers insight and proves useful in advocating for and/or engaging with research data management work at your respective institutions.
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    Foundational Practices of Research Data Management
    (Pensoft, 2020-07-27) Briney, Kristin A.; Coates, Heather L.; Goben, Abigail
    The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity. Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming. By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.
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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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    Open Access is necessary but not sufficient to ensure research integrity
    (2022-10-27) Coates, Heather L.
    This interactive session will explore the central role of open access to publications, data, instruments, protocols, code and/or scripts in fostering a culture of research integrity and public trust in research. Through discussion of contemporary investigations into misconduct, we will consider the interconnectedness of good data practices and open access with principles of research integrity. In particular, we will discuss concrete practices related to project management, data management, and training that enable validation, foster a culture of research integrity, and support greater openness in the conduct of research and dissemination of research outputs.
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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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    Shifting into Data Governance roles: Encounters of three data librarians
    (2022-06-10) 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 or disincentivize unconventional processes. 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 describe how three data librarians have engaged with data governance and identified opportunities to advance more transparent and collaborative data governance practices.