Research Data Management Service Group (RDMSG)

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    Research Data Management Service Group Annual Report 2019-2020
    Kozlowski, Wendy; Wright, Sarah J. (2021)
    This report summarizes the 2019-2020 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.
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    Research Data Management Service Group 2016-2017 Report
    Kozlowski, Wendy A; Johns, Erica M (2018-01-05)
    This report summarizes the 2016-2017 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.
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    Research Data Management Service Group 2014-2015 Report
    Kozlowski, Wendy; Dietrich, Dianne; Wright, Sarah J (2015-10-16)
    This report summarizes the 2014-2015 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.
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    Research Data Management Service Group 2013-2014 Report
    Kozlowski, Wendy; Dietrich, Dianne; Wright, Sarah J (2015-04-15)
    This report summarizes the 2013-2014 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.
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    Research Data Management Service Group 2012-2013 Report
    Kozlowski, Wendy; Dietrich, Dianne; Steinhart, Gail; Wright, Sarah (2014-03-11)
    This report summarizes the 2012-2013 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.
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    Convergence: Integrating diverse perspectives to provide a single point of service
    Wright, Sarah J; Kozlowski, Wendy A (2012-03)
    In response to an increased awareness of the data management needs of researchers, Cornell’s Research Data Management Service Group (RDMSG) was created with the goal of making it as simple as possible for researchers to obtain the data management services they require. As more libraries get involved in data management, there are several different service models emerging, with some institutions establishing dedicated staff whose main responsibility it is to work with researchers on research data management and others using existing library staff. An example of another possible model, the RDMSG is a cross-disciplinary virtual group that relies on representatives from various service groups on campus to do the work of consulting with researchers on data management planning. With representatives from Cornell University Libraries (CUL), Cornell Information Technologies (CIT), the Center for Advanced Computing (CAC), and Cornell Institute for Social and Economic Research (CISER), the RDMSG consultant pool includes staff from both business and mission driven departments, as well as having very different backgrounds and areas of expertise. The diverse perspectives of the consultants is both a strength and a challenge for the group. In order to provide consistent high quality consultations, the group developed a set of operating principles to guide all consultants in their interactions with researchers. Developing best practices allowed the group to reach consensus on what kinds of interactions were desirable, and to focus their efforts on providing that level of research data management service. We will discuss our experience working as a cross-disciplinary group, including the advantages and disadvantages both expected and unexpected that we’ve encountered. We will also summarize our activities to date and offer some best practices for providing research data management services.
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    Research Data in eCommons@Cornell: Present and Future
    Kozlowski, Wendy; Dietrich, Dianne; Steinhart, Gail; Wright, Sarah (SlideShare Inc., 2013)
    As funding agencies increasingly prioritize sharing of research data, the role of institutional repositories (IRs) to house this material is likely to increase as well. By its very nature, data differs from the more traditional material housed in IRs such as publications, presentations, theses and dissertations. Cornell University’s IR, eCommons, is a DSpace powered repository available for materials in digital formats that may be useful for educational, scholarly, research or historical purposes. Upon deposit, users can assign an item type; presently, “dataset” items represent less than one half of one percent of total content. Under the assumption stated previously, an effort to optimize functionality of eCommons to handle data could be helpful to accommodate future data deposits. To evaluate what potential eCommons users value in a repository for research data, we reviewed several sources of researcher feedback collected at Cornell and elsewhere. Presented here are: 1) a summary of eCommons usage for data, including an analysis of “dataset” file types 2) a summary of preferences for IR-based research data services at Cornell, gathered via interviews and a survey, 3) an assessment of how well eCommons is currently serving these data-specific needs. Finally, we’ll consider, what additional functions might reasonably be met and what challenges we might face within the constraints of current infrastructure.
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    Collaborative Service Models: Building Support for Digital Scholarship
    Kovari, Jason; Kozlowski, Wendy; Mericle, Danielle (SlideShare Inc., 2012-11)
    Educational and research needs are changing rapidly: innovative teaching methods and collaborative learning environments generate an ever-increasing need for online resources; data sharing has become a requirement for many funding agencies and publishers; and the resulting information must now be archived and managed for the long-term. As this landscape changes, so too must libraries. In order to effectively respond to patrons’ needs, it is vital that libraries leverage resources to create collaborative, efficient and sustainable systems and services to support digital content management.Cornell University Library (CUL) attempts to actively engage faculty and community members by providing services to facilitate the creation, access and preservation of digital content. Such services include repository ingest and curation, training and workshops, and ongoing consultations on a wide range of topics. These activities connect digital library, metadata and repository resources with faculty needs and awareness, regardless of discipline. In the humanities, CUL’s Digital Consulting and Production Services provides outreach and cross-campus consultative services to aid the creation, management and discoverability of community digital collections while often merging those collections with the general library resources. In the sciences, the Research Data Management Service Group is a cross-campus effort that provides access to a broad range of data management services, including support for sharing and dissemination of research results. Despite differing models, both service points fall within CUL’s organizational priorities as evidenced in the library’s strategic plan. During the presentation, we will share our outreach methods, collaborative collection building environments, workflow, business models and general consultancy statistics. We also plan to discuss next steps for CUL’s services including expansion beyond the established subject-specific model to create an overall discovery environment. During the post-talk discussion, participants will be encouraged to discuss additional models and issues likely to be encountered when merging traditional and emerging services.
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    Research Data Management Service Group 2011-2012 Report
    Kozlowski, Wendy; Steinhart, Gail; Dietrich, Dianne; Wright, Sarah (2012-10-23)
    This report summarizes the 2011-2012 activities of the Research Data Management Service Group, a collaborative, campus-wide organization that links Cornell University faculty, staff and students with data management services to meet their research needs.