Browsing by Subject "data management"
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Item A Consortial Response to Data Sharing: The TDL Data Management Pilot Project(2014-03-25) Hanken-Kurtz, Debra; Texas Digital LibraryIn February 2013 the federal Office of Science and Technology Policy issued a mandate requiring federal funding agencies that spend at least $100 million per year on research and development to mandate public access to the metadata, published research, and data outputs that result from this funding. In response to the OSTP mandate and to the stated needs of its member libraries, the Texas Digital Library began to plan for a consortially developed and run data management service that would meet the requirements of the mandate and position libraries to play a crucial role in on-going conversations about data management at their universities. A working group of representative TDL member schools and the Texas Advanced Computing Center began meeting in Fall 2013 to create a cross-institutional pilot project to ingest and make data accessible on the web. The goals of this pilot are: To create services that meet emerging federal requirements for data and research publication for federally-funded research projects. To design and integrate a system for curating and managing data that support novel interdisciplinary research. To design services that will support the dissemination of research to the public in ways that are useful and effective in meeting the goals of the member institutions. The group is working with environmental science research groups identified at Texas A&M University to ingest data in a variety of formats, develop and apply metadata to maximize discovery, measure access and usage, and track costs. The project will build on existing TDL technologies and resources, including hosted DSpace institutional repositories, DuraCloud, and large-scale storage at the Texas Advanced Computing Center. It will deploy these resources strategically to develop a working service and identify areas of need for future development. The pilot project will be completed in the fall of 2014. This presentation will provide an overview of the project and the group’s assumptions in taking it on, our progress to date, and information about the challenges faced thus far.Item Data Management 101(2016-11-15) Trelogan, Jessica; University of Texas at AustinThis three-hour workshop provides a high-level overview of a range of topics related to the management of research data. Intended for librarians and library staff who are new to providing research data services to faculty, students, and staff, this introductory course will cover the basics of data management throughout the research lifecycle, from the creation of a data management plan through long-term archiving.Item Data Management Plans(2016-11-15) Herbert, Bruce; Texas A&M UniversityItem Data Management Plans The Role of the Library(2011-04-06) Raymond, LisaPlanning the management of data at proposal time and throughout its lifecycle is becoming increasingly important to funding agencies and is essential to ensure its current usability and long term preservation and access. This presentation will describe the work being done at the Woods Hole Oceanographic Institution (WHOI) to assist PIs with the preparation of data management plans and the role the Library has in this process. Data management does not mean simply storing information. The emphasis is now on sharing data and making research accessible. Topics to be covered include educating staff about the NSF data policy implementation, a data management survey, resources for proposal preparation, collaborating with other librarians, and next steps.Item Diving into Data: Implementing a Data Repository at the Texas Digital Library(2016-05-26) Thompson, Santi; Park, Kristi; Steans, Ryan; Herbert, Bruce; Quigley, ElizabethThe need for Data Management services is one of two large‐scale needs consistently expressed by members of the Texas Digital Library (TDL), a consortium of academic libraries throughout the state. In particular, members are seeking a repository that offers researchers a platform for publishing, citing, reusing, and preserving research data. In response to this need, TDL has formed a series of working groups aimed at building a statewide data repository. This panel session presentation will document the work of two TDL working groups focused on the storage and accessibility of research data, as well as connect their efforts to a growing number of research data repositories worldwide: The first group, the TDL Data Management Working Group, selected a platform to act as the statewide repository. Panel presenters will outline the group’s methodology, including the development of researcher use cases and system evaluation criteria and the testing of Dataverse, an open source platform for research data sharing and management developed by Harvard’s Institute for Quantitative Social Science (IQSS). They will also highlight the results of these efforts and discuss why the group recommended that TDL and its members implement the Dataverse repository. Secondly, presenters will share the current activities of the TDL Dataverse Implementation Working Group, which is charged with launching an instance of Dataverse as the statewide data repository for Texas. Updates will focus on the work of four subgroups (Budget and Business Model, Policy and Governance, Technical Configuration, and Workflow and Outreach) as well as the results and lessons learned from an initial pilot launch of the software in Spring 2016. Finally, a representative of the Dataverse project from Harvard IQSS will situate the TDL Dataverse project within a wider community of Dataverse implementations, both at Harvard and elsewhere across the globe. As more institutions consider launching a repository for research data, our panel presentation offers important lessons that others may value. Attendees of our session will learn more about the assessment of data repositories, including potential methods and criteria for evaluating systems, as well as the challenges and benefits to building a collaborative, consortial data repository.Item Diving into Data: Implementing a Data Repository at the Texas Digital Library(2016-05-26) Thompson, Santi; Park, Kristi; Donald, Jeremy; Herbert, Bruce; Quigley, Elizabeth; Buckner, Sean; Kaspar, Wendi Arant; Lauland, Nick; Peters, Todd C.; Rodgers, Denyse; Smith, Cecelia; Starcher, Christopher; Uzwyshyn, Ray; Waugh, Laura; University of Houston; Texas Digital Library; Trinity University; Texas A&M University; Harvard University; Texas State University; Baylor University; Texas Tech UniversityThe need for Data Management services is one of two large‐scale needs consistently expressed by members of the Texas Digital Library (TDL), a consortium of academic libraries throughout the state. In particular, members are seeking a repository that offers researchers a platform for publishing, citing, reusing, and preserving research data. In response to this need, TDL has formed a series of working groups aimed at building a statewide data repository. This panel session presentation will document the work of two TDL working groups focused on the storage and accessibility of research data, as well as connect their efforts to a growing number of research data repositories worldwide: The first group, the TDL Data Management Working Group, selected a platform to act as the statewide repository. Panel presenters will outline the group’s methodology, including the development of researcher use cases and system evaluation criteria and the testing of Dataverse, an open source platform for research data sharing and management developed by Harvard’s Institute for Quantitative Social Science (IQSS). They will also highlight the results of these efforts and discuss why the group recommended that TDL and its members implement the Dataverse repository. Secondly, presenters will share the current activities of the TDL Dataverse Implementation Working Group, which is charged with launching an instance of Dataverse as the statewide data repository for Texas. Updates will focus on the work of four subgroups (Budget and Business Model, Policy and Governance, Technical Configuration, and Workflow and Outreach) as well as the results and lessons learned from an initial pilot launch of the software in Spring 2016. Finally, a representative of the Dataverse project from Harvard IQSS will situate the TDL Dataverse project within a wider community of Dataverse implementations, both at Harvard and elsewhere across the globe. As more institutions consider launching a repository for research data, our panel presentation offers important lessons that others may value. Attendees of our session will learn more about the assessment of data repositories, including potential methods and criteria for evaluating systems, as well as the challenges and benefits to building a collaborative, consortial data repository.Item Diving into Data: Implementing a Data Repository at the Texas Digital Library(ASIS&T, 2016-05-04) Thompson, SantiThis poster documents the progress of two Texas Digital Library (TDL) working groups focused on the storage and accessibility of research data. The first group, the TDL Data Management Working Group, selected a platform to act as the statewide repository. To do this, the group created a set of use cases to formulate evaluation criteria for testing potential systems. After testing Dataverse, the team made a recommendation to move forward with its implementation. A second group, the TDL Dataverse Implementation Working Group, is currently charged with launching an instance of the Dataverse open source platform as the statewide data repository for Texas. As more institutions consider developing a repository for research data, our poster presentation offers a case study on the assessment of data repositories, including potential methods and criteria for evaluating systems, as well as the challenges and benefits to building a collaborative, consortial data repository. The Problem The need for Data Management services is one of two large‐scale needs consistently expressed by members of the TDL, a consortium of academic libraries throughout the state. In particular, members are seeking a repository that offers researchers a platform for publishing, citing, reusing, and preserving research data. In response to this need, TDL has formed a series of working groups aimed at building a statewide data repository and developing services to fulfill researcher needs in the state.Item Evolving Collections: Building an Infrastructure to Preserve the Power of Silence(2010-05-18) Jordan, Chris; Texas Advanced Computing CenterThe rise of digital data as a central component of 21st century research is a well-documented phenomenon, but examples of working institutional infrastructures to manage and preserve this data are relatively few and far between. The Texas Advanced Computing Center at The University of Texas at Austin is involved in a multi-year effort to build such an infrastructure, with an emphasis on collecting and managing digital data during the research process and a corresponding deep level of interactions with researchers and projects in a variety of disciplines. Collection and dissemination activities in areas from digitization of Natural History collections to documentation of ongoing Archeological investigation will be presented, and the infrastructure needs presented by this diverse community of practice will be discussed. Finally, the design of the present infrastructure will be discussed, along with the rationale for that design and the plans for future expansion of the capacity and functionality of a system which will enable and preserve a comprehensive record of research for future generations.Item Metadata Quality in Texas Woman's University's Digital Collection(2013-03-26) Bookman, Amber; Texas Woman's UniversityAccessibility to information despite physical proximity is now an expectation of many students and professionals. However, few appreciate what it takes to translate physical media and archival items into digital representations that can be stored, searched and retrieved virtually. A collection developed around a well-formed structure and metadata schema is necessary to address the complexities of this representation issue. However, the actual content and how it is entered will ultimately determine the usability of a digital collection. The Woman’s Digital Collection curated by Texas Woman's University Libraries is one case that exemplifies some of the challenges of creating quality metadata records for a rapidly expanding collection. Inconsistencies within this one collection are typical of those that are likely to occur elsewhere as the demand for digital content increases. In identifying the issues that adversely affect the completeness, accuracy and consistency of the information populating these records, solutions for avoiding these problems emerge that can be applied to future projects.Item PerCon: A Personal Digital Library for Heterogeneous Data Management and Analysis(2015-03-31) Park, Su InnSystems are needed to support access to and analysis of larger and more heterogeneous scientific datasets. Users need support in the location, organization, analysis, and interpretation of data to support their current activities with appropriate services and tools. We developed PerCon, a data management and analysis environment, to support such use. PerCon processes and integrates data gathered via queries to existing data providers to create a personal or a small group digital library of data. Users may then search, browse, visualize, annotate, and organize the data as they proceed with analysis and interpretation. Analysis and interpretation in PerCon takes place in a visual workspace in which multiple data visualizations and annotations are placed into spatial arrangements based on the current task. The system watches for patterns in the user?s data selection, exploration, and organization, then through mixed-initiative interaction assists users by suggesting potentially relevant data from unexplored data sources. In order to identify relevant data, PerCon builds up various precomputed feature tables of data objects including their metadata (e.g. similarities, distances) and a user interest model to infer the user interest or specific information need. In particular, probabilistic networks in PerCon model user interactions (i.e. event features) and predict the data type of greatest interest through network training. In turn, the most relevant data objects of interest in the inferred data type are identified through a weighted feature computation then recommended to the user. PerCon?s data location and analysis capabilities were evaluated in a controlled study with 24 users. The study participants were asked to locate and analyze heterogeneous weather and river data with and without the visual workspace and mixed-initiative interaction, respectively. Results indicate that the visual workspace facilitated information representation and aided in the identification of relationships between datasets. The system?s suggestions encouraged data exploration, leading participants to identify more evidences of correlation among data streams and more potential interactions among weather and river data.Item Texas Digital Library Dataverse Implementation Working Group Final Report(Texas Digital Library, 2016-09-30) Thompson, Santi; Herbert, Bruce; Parks, Kristi; Donald, Jeremy; Rodgers, Denyse; Buckner, Sean; Kaspar, Wendi; Smith, Cecilia; Starcher, Christopher; Peters, Todd; Uzwyshyn, Ray; Steans, Ryan; Lauland, Nick; Waugh, LauraSince September 2015, the Texas Digital Library (TDL) Dataverse Implementation Working Group (DIWG) has worked with Texas Digital Library staff to pilot and implement a consortial repository for small to medium-sized research data, as well as to develop policies and workflow documentation associated with a data repository service. Comprised of 14 librarians and technical staff across six universities and the TDL, the DIWG's charge was to "pilot test, assess, and launch a consortial repository for research data archiving and management," addressing costs and possible funding models, technical configuration of the repository, workflows and outreach, policy and governance, and metadata needs. The DIWG built upon the work of a predecessor group - the TDL Data Management Working Group - which evaluated multiple available data management platforms and recommended the use of Dataverse as a consortial service. The result of the group's work is the Texas Data Repository (https://data.tdl.org), a platform for publishing and archiving datasets and other data products created by faculty, staff, and students at Texas higher education institutions. The repository is built in Dataverse and is intended for sharing small- to medium-sized datasets from any discipline.