Browsing by Author "Carlson, Jake"
Now showing 1 - 20 of 46
- Results Per Page
- Sort Options
Item “Bridging the Gaps of Providing and Scaling Research Data Curation Services”(2017-04-19) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Championing Institutional Data Sharing Efforts(Coalition for Networked Information, 2024) Carlson, Jake; Narlock, Mikala R.Data repositories are an essential component of the emerging infrastructure that is needed for sharing, stewarding and preserving research data at scale. However, the landscape of data repositories is uneven, fractured, and evolving. In the absence of widespread domain repositories, many academic libraries have stepped in to fill this gap through developing institutional data repositories (data IRs) to meet the needs of researchers located at their host institution. However, much like domain repositories, data IRs are evolving at an uneven rate in isolation from one another. With the federal government’s recent release of community guiding documents such as the Desirable Characteristics of Data Repositories (DC-DR) and the Nelson Memo, the time is right for data IRs and data service providers to explore areas where they could collaborate more closely to develop consensus around best practices for providing data services and how we might better connect our individual infrastructures. The Data Curation Network (DCN) recently received funding from the NIH in support of developing community-centered approaches in advancing institutional data services and data IRs, to be developed at the Summit for Academic Institutional Readiness in Data Sharing (STAIRS). At STAIRS, attendees will assess the current state of institutionally based data services and data IRs, discuss areas of service and infrastructure that would benefit from cross-institutional approaches, and explore ways in which we could strengthen collective alignment with the DC-DR, the Nelson memo and other emerging initiatives. In this pre-recorded video, we will describe the work done by the DCN in exploring the need for greater alignment across institutions and share information about the upcoming STAIRS workshop, including how to apply to attend.Item Climbing the STAIRS - A summit for fostering resilient institutional data service communities(2025) Carlson, Jake; Narlock, MikalaThe need for research data services is expanding and evolving rapidly, particularly since the NIH data sharing requirement and the Nelson memo were released in 2022. Academic institutions of all sizes and specializations are increasingly challenged to meet the diverse needs of their researchers in managing, sharing, and preserving their research outputs. With this demand comes the potential for duplication of efforts, unsustainable service models, and individual burnout. In order to combat these intertwined challenges, there is a need to work within and across institutions. Stronger working relationships between stakeholder units such as the libraries, IT, offices of research, and research centers within the institution are essential to meet increasing demand for services and support. Similarly, cross-institutional efforts will be essential for addressing shared challenges together. As a first step in identifying potential collaborations, through support from the NIH, the Data Curation Network hosted the Summit for Academic Institutional Readiness in Data Sharing (STAIRS) to explore developing communities of practice internally (within an institution) and externally (across institutions). STAIRS brought more than 100 people from 32 different institutions to discuss: the current landscape of institutionally based data services and repositories, the current and emerging best practices, tools, and resources in data services, and creating connections and communities for institutional data service providers. This presentation will include an overview of the pre-summit survey results, which provided a snapshot of how libraries are working, or planning to work, with others across the institution. We will also explore the recurrent themes that emerged from discussions. Finally, we will present our recommendations as the organizers of STAIRS for developing and supporting resilient communities of institutional data service providers, both within the institution and across institutions. The development of community can help expand capacity and further protect individuals from the increasing demand of research data services.Item A collective approach to providing research data curation services(2017-05-16) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Community-Developed Infrastructure for Curating Research Data: DCN Update(2019-05) Coburn, Elizabeth; Hadley, Hannah; Johnston, Lisa R; Kozlowski, Wendy; Vitale, Cynthia; Herndon, Joel; Carlson, JakeItem Curate a data set to capture and compare curation activities across network partners(2017-02-21) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem CURATE(D) Fundamentals Workshop(Data Curation Network, 2024) Hudson Vitale, Cynthia; Hadley, Hannah; Wham, Briana; Borda, Susan; Carlson, Jake; Darragh, Jennifer; Fearon, David; Herndon, Joel; Hunt, Shanda; Johnston, Lisa R.; Kalt, Marley; Kozlowski, Wendy; Lafferty-Hess, Sophia; Marsolek, Wanda; Moore, Jennifer; Narlock, Mikala; Scott, Dorris; Wheeler, Jon; Woodbrook, Rachel; Wright, Sarah; Yee, Michelle; Lake, SherrySlides developed for the CURATE(D) Fundamentals workshops. These materials only include the lecture slides and have removed associated exercises and institutional examples used in synchronous trainings. See the CURATE(D) modules [https://datacurationnetwork.github.io/CURATED/] for exercises to work through the CURATE(D) steps or contact the DCN to discuss partnering on a in-person workshop.Item Data Curation Network and the Role of Librarians in Curating Data(2022-01-26) Johnston, Lisa R; Carlson, JakeItem Data Curation Network End User Survey 2021(2021-09-28) Wright, Sarah; Johnston, Lisa; Marsolek, Wanda; Luong, Hoa; Braxton, Susan; Lafferty-Hess, Sophia; Herndon, Joel; Carlson, Jake; jw256@cornell.edu; Wright, Sarah; Data Curation NetworkThis dataset includes the processed dataset from the 2021 End User Survey performed by the Data Curation Network.Item Data Curation Network Poster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.(2017-09) Olendorf, Rob; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Stewart, Claire; Johnston, LisaPoster presented at the Research Data Alliance 10th Plenary, Montreal, CA September 20, 2017.Item Data Curation Network Preliminary Results(2017-01-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Network: Developing and Scaling Research Data Management(2018-06-13) Johnston, Lisa; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Blake, Mara; Hull, Elizabeth; Herndon, Joel; McGeary, Timothy MItem Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services(Journal of eScience Librarianship, 2017-02-28) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Hswe, PatriciaObjective: Many academic and research institutions are exploring opportunities to better support researchers in sharing their data. As partners in the Data Curation Network project, our six institutions developed a comparison of the current levels of support provided for researchers to meet their data sharing goals through library-based data repository and curation services. Methods: Each institutional lead provided a written summary of their services based on a previously developed structure, followed by group discussion and refinement of descriptions. Service areas assessed include the repository services for data, technologies used, policies, and staffing in place. Conclusions: Through this process we aim to better define the current levels of support offered by our institutions as a first step toward meeting our project's overarching goal to develop a shared staffing model for data curation across multiple institutions.Item Data Curation Perception and Practice(2017-05-24) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Data Curation Services, Together!(2018-11-08) Johnston, Lisa; Blake, Mara; Carlson, Jake; Coburn, Liza; Herndon, Joel; Hull, Elizabeth; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; McGeary, Timothy M; Stewart, ClaireItem DCN Team Kick-off Meeting outputs: Vision, Barriers, Metrics, and Strategic Directions(2016-07) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Definitions of Data Curation Activities used by the Data Curation Network(2016-10) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Grant Narrative for the Data Curation Network project(2016-05) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, ClaireItem Implementing a Cross-Institutional Staffing Model for Curating Research Data(2018-03) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Blake, Mara; Herndon, Joel; Hull, Elizabeth; McGeary, TimItem Implementing a Cross-Institutional Staffing Model for Curating Research Data - CS3DP 2018(2018-02) Johnston, Lisa R; Carlson, Jake; Hudson-Vitale, Cynthia; Imker, Heidi; Kozlowski, Wendy; Olendorf, Robert; Stewart, Claire; Blake, Mara; Herndon, Joel; Hull, Elizabeth; McGeary, Tim
- «
- 1 (current)
- 2
- 3
- »