<rss xmlns:a10="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Data Curation</title><link>https://library.educause.edu/topics/administrative-and-business-services/data-curation</link><description /><language>en</language><item><guid isPermaLink="false">{3C7E9B84-355A-4AC2-BC2E-B67A5689A779}</guid><link>https://library.educause.edu/resources/2024/9/2024-educause-analytics-landscape-study</link><title>2024 EDUCAUSE Analytics Landscape Study</title><description>The 2024 EDUCAUSE Analytics Landscape Study summarizes the “current state of affairs” of analytics in higher education.</description><pubDate>Tue, 17 Sep 2024 14:18:35 Z</pubDate></item><item><guid isPermaLink="false">{08BE861F-FAE7-4CF8-9497-0A423C48CBAF}</guid><link>https://library.educause.edu/resources/2023/3/2023-educause-horizon-action-plan-data-governance</link><title>2023 EDUCAUSE Horizon Action Plan: Data Governance</title><description>This report describes an optimized future for data governance in higher education, drawing on the insights of a small panel of data and analytics higher education experts, focusing on a 10-year timescale.</description><pubDate>Wed, 22 Feb 2023 17:49:39 Z</pubDate></item><item><guid isPermaLink="false">{CB6C0C3D-28CD-4DF4-8CC3-9D660C1937AF}</guid><link>https://library.educause.edu/resources/2022/7/2022-educause-horizon-report-data-and-analytics-edition</link><title>2022 EDUCAUSE Horizon Report | Data and Analytics Edition</title><description>The 2022 EDUCAUSE Horizon Report profiles the trends and key technologies and practices shaping the future of data and analytics, and envisions a number of scenarios and implications for that future.</description><pubDate>Thu, 23 Jun 2022 14:23:31 Z</pubDate></item><item><guid isPermaLink="false">{8CD3B982-096C-4B13-A18F-042F34CC48F0}</guid><link>https://library.educause.edu/resources/2020/4/research-computing-and-data-capabilities-a-tool-for-assessment-and-improvement</link><title>Research Computing and Data Capabilities: A Tool for Assessment and Improvement</title><description>The Research Computing and Data Capabilities Model allows institutions to assess their support for computationally- and data-intensive research and as an input into strategic decision making and organizational planning. </description><pubDate>Mon, 13 Apr 2020 17:52:00 Z</pubDate></item><item><guid isPermaLink="false">{36E488B7-7CD9-403B-B829-5914579A5E29}</guid><link>https://library.educause.edu/resources/2019/5/educause-business-school-community-group-analytics-reporting-discussion</link><title>Educause Business School Community Group: Analytics &amp; Reporting Discussion</title><description>Rebecca Mathews, Senior BI Analyst at MIT Sloan opened the conversation by providing a brief overview of the reporting environment at Sloan and the unique data management challenges they face since ‘Sloan is different’. </description><pubDate>Mon, 13 May 2019 15:03:53 Z</pubDate></item><item><guid isPermaLink="false">{115E9244-836B-4907-B7D3-F5E9F52F3C57}</guid><link>https://library.educause.edu/resources/2018/5/research-data-curation-a-framework-for-an-institution-wide-services-approach</link><title>Research Data Curation: A Framework for an Institution-Wide Services Approach</title><description>Universities and colleges should consider an institution-wide approach to developing services for managing and curating research data. This paper identifies service areas and includes a framework for institutions to document current research data curation services and responsibilities.</description><pubDate>Wed, 02 May 2018 16:19:30 Z</pubDate></item><item><guid isPermaLink="false">{3AB41C0D-CAD9-44C9-B7D9-93781F0D8764}</guid><link>https://library.educause.edu/resources/2018/3/shifting-to-data-savvy-the-future-of-data-science-in-libraries</link><title>Shifting to Data Savvy: The Future of Data Science In Libraries</title><description>The project explores the challenges associated with implementing data science within diverse library environments by examining two specific perspectives framed as ‘the skills gap,’ i.e. where librarians are perceived to lack the technical skills to be effective in a data-rich research environment; and ‘the management gap,’ i.e. the ability of library managers to understand and value the benefits of in-house data science skills and to provide organizational and managerial support.</description><pubDate>Mon, 26 Mar 2018 20:34:34 Z</pubDate></item><item><guid isPermaLink="false">{2B987078-F35B-4E5E-817E-BD1B81224804}</guid><link>https://library.educause.edu/resources/2018/1/data-science-in-libraries-findings-and-a-roadmap-forward</link><title>Data Science in Libraries: Findings and a Roadmap Forward</title><description>Data Science in Libraries is an IMLS-funded National Forum grant that convened an international workshop in May of 2017.</description><pubDate>Tue, 23 Jan 2018 17:39:34 Z</pubDate></item><item><guid isPermaLink="false">{AC26EC7F-97BE-4B72-AE5E-EDD425A9EF1A}</guid><link>https://library.educause.edu/resources/2017/9/report-on-the-first-ieee-workshop-on-the-future-of-research-curation-and-research-reproducibility</link><title>Report on the First IEEE Workshop on the Future of Research Curation and Research Reproducibility</title><description>This report describes perspectives from the Workshop on the Future of Research Curation and Research Reproducibility that was collaboratively sponsored by the U.S. National Science Foundation (NSF) and IEEE (Institute of Electrical and Electronics  Engineers) in November 2016.</description><pubDate>Tue, 12 Sep 2017 15:43:19 Z</pubDate></item><item><guid isPermaLink="false">{FAFCCCCC-A673-48A9-AAD4-40BB25D5EC69}</guid><link>https://library.educause.edu/resources/2017/5/building-data-refuge-from-bucket-brigade-to-sustainable-action</link><title>Building Data Refuge: From Bucket Brigade to Sustainable Action</title><description>Beginning late in 2016, a large collaborative group of volunteers began to work together to back up vulnerable climate and environmental data at events around the country. In this panel, key organizers of this endeavor will discuss the Data Rescue events, the workflow that was developed to support these distributed activities, and some of the challenges encountered.</description><pubDate>Wed, 10 May 2017 16:51:18 Z</pubDate></item><item><guid isPermaLink="false">{5124BF13-8106-4B1F-A9E6-7B41E46304B8}</guid><link>https://library.educause.edu/resources/2017/3/expanding-research-data-services</link><title>Expanding Research Data Services</title><description>“More Than Data Management Plans: Exploring New Outreach Opportunities Through Expanded Research Data Services” recounts Georgia State University Library's team and services that support research and data literacy across multiple disciplines involving quantitative, qualitative, business and spatial/GIS data, and “Bigger on the Inside: Integrating Research Data Services in Campus-Wide Research Networks” discusses efforts by the University of Virginia Library’s Research Data Services to collaborate with a growing number of partners to unify expertise and support for data- and computationally-intensive approaches to a wide range of disciplines.</description><pubDate>Wed, 08 Mar 2017 19:25:52 Z</pubDate></item><item><guid isPermaLink="false">{66B34081-2DE1-4EA6-8E81-10362212E1F8}</guid><link>https://library.educause.edu/resources/2017/3/considerations-for-research-data-sharing-setting-the-stage-for-greater-openness</link><title>Considerations for Research Data Sharing Setting the Stage for Greater Openness</title><description>In this paper we explore some of the topics that institutions and researchers should consider as they encourage and enable research data sharing.</description><pubDate>Wed, 08 Mar 2017 16:44:30 Z</pubDate></item><item><guid isPermaLink="false">{D321FE39-3962-41BE-9B83-9C45D77C0ADC}</guid><link>https://library.educause.edu/resources/2017/3/predictive-analytics-in-higher-education-five-guiding-practices-for-ethical-use</link><title>Predictive Analytics in Higher Education: Five Guiding Practices for Ethical Use</title><description>Using data ethically is complex, and no magic formula exists. This ethical framework is meant to start conversations on campus. It cannot address all possible issues surrounding the use—and potential abuse—of institutional data.</description><pubDate>Mon, 06 Mar 2017 18:26:59 Z</pubDate></item><item><guid isPermaLink="false">{3D563ADF-621A-4C24-B1B1-5AF3249C676E}</guid><link>https://library.educause.edu/resources/2017/2/research-data-in-higher-education</link><title>Research Data in Higher Education</title><description>Research in the 21st century has been and will continue to be increasingly data-intensive, collaborative and technology-enabled. What role does IT play in supporting researchers and their data needs? This engaging webinar will discuss this question through the lens of three working group projects that have focused in this space. February 7, 2017. </description><pubDate>Thu, 09 Feb 2017 16:28:41 Z</pubDate></item><item><guid isPermaLink="false">{7C028230-D7B0-41F0-BE70-5B0DE2D6821A}</guid><link>https://library.educause.edu/resources/2017/12/horizon-report-library-edition-2014-2017</link><title>Horizon Report: Library Edition 2014-2017</title><description>These are the NMC Horizon Reports: Library Editions from 2014, 2015 and 2017.</description><pubDate>Fri, 08 Feb 2019 18:19:23 Z</pubDate></item><item><guid isPermaLink="false">{051165CC-41CD-4CB3-8ABF-F08131B8476C}</guid><link>https://library.educause.edu/resources/2015/12/establishing-data-stewardship-models</link><title>Establishing Data Stewardship Models</title><description>This paper provides guidance on establishing a data stewardship program for administrative data. It clarifies the different types of data stewards and managers and their roles and responsibilities, where they reside in an organization, how they work with colleagues to ensure that the data are maintained, and what special skills or training are needed to meet both university responsibilities and best practices.</description><pubDate>Wed, 20 Jan 2016 15:44:19 Z</pubDate></item><item><guid isPermaLink="false">{E3B27479-6F9E-483E-BD9B-B49E5A57D50F}</guid><link>https://library.educause.edu/resources/2014/9/big-data-in-the-campus-landscape</link><title>Big Data in the Campus Landscape</title><description>This series is a publication of the ECAR Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity.</description><pubDate>Tue, 22 Dec 2015 17:36:22 Z</pubDate></item><item><guid isPermaLink="false">{13B2F7F1-2512-42D3-999A-A7E292635612}</guid><link>https://library.educause.edu/resources/2014/8/horizon-report-2014-library-edition</link><title>Horizon Report: 2014 Library Edition</title><description>The NMC Horizon Report &gt; 2014 Library Edition identifies “Increasing Focus on Research Data Management for Publications” and “Prioritization of Mobile Content and Delivery” as fast trends driving changes in academic and research libraries over the next one to two years.</description><pubDate>Tue, 22 Dec 2015 17:36:32 Z</pubDate></item><item><guid isPermaLink="false">{C031D78C-266D-4A09-A3EB-144CA0B01EA3}</guid><link>https://library.educause.edu/resources/2014/7/research-data-storage-a-framework-for-success</link><title>Research Data Storage: A Framework for Success</title><description>The ECAR Data Management Working Group (ECAR-DM) has created a framework for research data storage as an aid for higher education institutions establishing and evaluating their institution’s research data storage efforts.</description><pubDate>Tue, 22 Dec 2015 17:36:54 Z</pubDate></item><item><guid isPermaLink="false">{31CA711C-E964-43F4-9B56-CBB18E03CF7B}</guid><link>https://library.educause.edu/resources/2018/1/taking-the-carpentry-model-to-librarians</link><title>Taking the Carpentry Model to Librarians</title><description /><pubDate>Tue, 23 Jan 2018 17:54:20 Z</pubDate></item></channel></rss>