@book{carlson_narlock_blake_herndon_imker_2023, title={The Art, Science, and Magic of the Data Curation Network}, url={http://dx.doi.org/10.3998/mpub.12782791}, DOI={10.3998/mpub.12782791}, abstractNote={The Data Curation Network (DCN) is a membership organization of institutional and non-profit data repositories whose vision is to advance open research by making data more ethical, reusable, and understandable. Although initially conceived of and established through grant funding, the DCN transitioned to a sustainable, member-funded organization in July 2021, and is now composed of almost 50 data curators from 17 institutions. The Art, Science, and Magic of the Data Curation Network: A Retrospective on Cross-Institutional Collaboration captures the results of a project retrospective meeting and describes the necessary components of the DCN’s sustained collaboration in the hopes that the insights will be of use to other collaborative efforts. In particular, the authors describe the successes of the community and challenges of launching a cross-institutional network. Additionally, this publication details the administrative, tool-based, and trust-based structures necessary for establishing this community, the “radical collaboration” that is the cornerstone of the DCN, and potential future collaborations to address shared challenges in libraries and research data management. This in-depth case study provides an overview of the critical work of launching a collaborative network and transitioning to sustainability. This publication will be of special interest to research librarians, data curators, and anyone interested in academic community building.}, publisher={Maize Books}, author={Carlson, Jake and Narlock, Mikala and Blake, Mara and Herndon, Joel and Imker, Heidi}, year={2023} }
 @article{blake_murray_williams_gara_belros_choudhury_2022, title={A Role for the Library in Public Research: The Global COVID-19 Dashboard}, volume={22}, url={http://dx.doi.org/10.1353/pla.2022.0007}, DOI={10.1353/pla.2022.0007}, abstractNote={abstract:As the novel coronavirus (COVID-19) spread, a team from the Sheridan Libraries and Museums at Johns Hopkins University (JHU) provided technical support to the JHU Global COVID-19 Dashboard. This paper reflects on the lessons learned from working on a highly publicized, heavily trafficked resource and explores the role of academic libraries in supporting research in the public interest. The authors argue that engagement with projects of this nature not only leverages the existing strengths and expertise of libraries but also positions them to contribute to cutting-edge opportunities in academic institutions.}, number={1}, journal={portal: Libraries and the Academy}, publisher={Project Muse}, author={Blake, Mara and Murray, Reina Chano and Williams, Jason and Gara, Jeff and Belros, Derek and Choudhury, Sayeed}, year={2022}, pages={7–25} }
 @article{dong_ratcliff_goyea_katz_lau_ng_garcia_bolt_prata_zhang_et al._2022, title={The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned}, volume={22}, ISSN={["1474-4457"]}, url={http://dx.doi.org/10.1016/s1473-3099(22)00434-0}, DOI={10.1016/S1473-3099(22)00434-0}, abstractNote={On Jan 22, 2020, a day after the USA reported its first COVID-19 case, the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) launched the first global real-time coronavirus surveillance system: the JHU CSSE COVID-19 Dashboard. As of June 1, 2022, the dashboard has served the global audience for more than 30 consecutive months, totalling over 226 billion feature layer requests and 3·6 billion page views. The highest daily record was set on March 29, 2020, with more than 4·6 billion requests and over 69 million views. This Personal View reveals the fundamental technical details of the entire data system underlying the dashboard, including data collection, data fusion logic, data curation and sharing, anomaly detection, data corrections, and the human resources required to support such an effort. The Personal View also covers the challenges, ranging from data visualisation to reporting standardisation. The details presented here help develop a framework for future, large-scale public health-related data collection and reporting.}, number={12}, journal={LANCET INFECTIOUS DISEASES}, publisher={Elsevier BV}, author={Dong, Ensheng and Ratcliff, Jeremy and Goyea, Tamara D. and Katz, Aaron and Lau, Ryan and Ng, Timothy K. and Garcia, Beatrice and Bolt, Evan and Prata, Sarah and Zhang, David and et al.}, year={2022}, month={Dec}, pages={E370–E376} }
 @article{hudson-vitale_hadley_moore_johnston_kozlowski_carlson_blake_herndon_2020, title={Extending the Research Data Toolkit: Data Curation Primers}, volume={15}, DOI={10.2218/ijdc.v15i1.713}, abstractNote={Niche and proprietary data formats used in cutting-edge research and technology have specific curation considerations and challenges. The increased demand for subject liaisons, library archivists, and digital curators to curate this variety of data types created locally at an institution or organization poses difficulties. Subject liaisons possess discipline knowledge and expertise for a given domain or discipline and digital curation experts know how to properly steward data assets generally. Yet, a gap often exists between the expertise available within the organization and local curation needs.
While many institutions and organizations have expertise in certain domains and areas, oftentimes the heterogeneous data types received for deposit extend beyond this expertise. Additionally, evolving research methods and new, cutting-edge technology used in research often result in unfamiliar and niche data formats received for deposit. Knowing how to ‘get-started’ in curating these file types and formats can be a particular challenge. To address this need, the data curation community have been developing a new set of tools - data curation primers. These primers are evolving documents that detail a specific subject, disciplinary area or curation task, and that can be used as a reference or jump-start to curating research data. This paper will provide background on the data curation primers and their content detail the process of their development, highlight the data curation primers published to date, emphasize how curators can incorporate these resources into workflows, and show curators how they can get involved and share their own expertise.}, number={1}, journal={International Journal of Digital Curation}, publisher={Edinburgh University Library}, author={Hudson-Vitale, Cynthia and Hadley, Hannah and Moore, Jennifer and Johnston, Lisa and Kozlowski, Wendy and Carlson, Jake and Blake, Mara and Herndon, Joel}, year={2020}, month={Aug}, pages={14} }
 @article{johnston_carlson_hudson-vitale_imker_kozlowski_olendorf_stewart_blake_herndon_mcgeary_et al._2018, title={Data Curation Network: A Cross-Institutional Staffing Model for Curating Research Data}, volume={13}, DOI={10.2218/ijdc.v13i1.616}, abstractNote={Funders increasingly require that data sets arising from sponsored research must be preserved and shared, and many publishers either require or encourage that data sets accompanying articles are made available through a publicly accessible repository. Additionally, many researchers wish to make their data available regardless of funder requirements both to enhance their impact and also to propel the concept of open science. However, the data curation activities that support these preservation and sharing activities are costly, requiring advanced curation practices, training, specific technical competencies, and relevant subject expertise. Few colleges or universities will be able to hire and sustain all of the data curation expertise locally that its researchers will require, and even those with the means to do more will benefit from a collective approach that will allow them to supplement at peak times, access specialized capacity when infrequently-curated types arise, and stabilize service levels to account for local staff transition, such as during turn-over periods. The Data Curation Network (DCN) provides a solution for partners of all sizes to develop or to supplement local curation expertise with the expertise of a resilient, distributed network, and creates a funding stream to both sustain central services and support expansion of distributed expertise over time. This paper presents our next steps for piloting the DCN, scheduled to launch in the spring of 2018 across nine partner institutions. Our implementation plan is based on planning phase research performed from 2016-2017 that monitored the types, disciplines, frequency, and curation needs of data sets passing through the curation services at the six planning phase institutions. Our DCN implementation plan includes a well-coordinated and tiered staffing model, a technology-agnostic submission workflow, standardized curation procedures, and a sustainability approach that will allow the DCN to prevail beyond the grant-supported implementation phase as a curation-as-service model.}, number={1}, journal={International Journal of Digital Curation}, publisher={Edinburgh University Library}, author={Johnston, Lisa R and Carlson, Jake and Hudson-Vitale, Cynthia and Imker, Heidi and Kozlowski, Wendy and Olendorf, Robert and Stewart, Claire and Blake, Mara and Herndon, Joel and McGeary, Timothy M. and et al.}, year={2018}, pages={125–140} }
 @article{blake_majewicz_mattke_weessies_2017, title={A Spatial Collaboration: Building a Multi-Institution Geospatial Data Discovery Portal}, volume={9}, url={https://digitalcommons.du.edu/collaborativelibrarianship/vol9/iss3/7/}, number={3 , Article 7}, journal={Collaborative Librarianship}, author={Blake, Mara and Majewicz, Karen and Mattke, Ryan and Weessies, Kathleen W.}, year={2017}, month={Nov} }
 @article{usability analysis of the big ten academic alliance geoportal: findings and recommendations for improvement of the user experience_2017, url={https://journal.code4lib.org/articles/12932}, journal={Code4Lib Journal}, year={2017}, month={Oct} }
 @article{blake_morse_2016, title={Keeping your options open}, volume={44}, DOI={10.1108/rsr-05-2016-0033}, abstractNote={
Purpose
Technologies for teaching abound, but many of them are proprietary systems and software that require institutional and individual subscriptions for use. Instructors and librarians in higher education have open source and free options for many types of teaching technologies. While some of these technologies are free to users, open source goes beyond that and makes the source code that runs it available as well. These provide more options to enhance teaching.
}, number={3}, journal={Reference Services Review}, publisher={Emerald}, author={Blake, Mara Rojeski and Morse, Catherine}, year={2016}, month={Aug}, pages={375–389} }
 @article{rojeski_2012, title={User perceptions of ebooks versus print books for class reserves in an academic library}, volume={40}, DOI={10.1108/00907321211228291}, abstractNote={PurposeThe purpose of this paper is to present the results of a pilot program at Dickinson College where select reserve books for a class were purchased as ebooks and linked through the course management system. The paper aims to shares the results of survey data, a focus group session, and usage statistics to evaluate the pilot.}, number={2}, journal={Reference Services Review}, publisher={Emerald}, author={Rojeski, Mara}, year={2012}, month={May}, pages={228–241} }