Browsing by Subject "data curation"
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Item Data Curation in the Texas Data Repository(Texas Digital Library, 2020-05-27) Wheeler, BrennaItem Envisioning a Geospatial Data Portal and Curation Network(2016-05-25) Weimer, Katherine Hart; Burns, Douglas; Been, Joshua; Ricker, Kim; Smith, Cecelia; Rice University; University of North Texas; University of Houston; Texas A&M UniversityLocal, state and federal agencies, as well as non-governmental agencies and a variety of researchers are producing geospatial data in increasing amounts. Libraries are challenged to collect, manage and provide discovery to this variety of geospatial data. This work requires both technical infrastructure and personal expertise. University libraries are curating and storing locally created geospatial data at various levels, however, there are no coordinated efforts across the state of Texas to curate, store, nor share out the data. This panel will explore the multifaceted issues surrounding geospatial data curation, including: • What are the current local efforts to curate, store and share data? • What technical options exist for a collaborative data preservation and discovery environment (i.e. data portal)? • What skills and expertise are required? • What metadata standards are being followed? • What costs and benefits are there to a coordinated approach? • How might TDL serve to facilitate this endeavor? • How might a collective/common data portal support GIS services across TDL libraries? This panel will include GIS librarians / data managers who will share their experiences and challenges in an effort to begin conversations to create a state-wide geospatial data portal. Each panelist will present a ten minute briefing on the GIS data and services provided through their library and describe their campus environment, including any challenges or gaps they have found which impede meeting patron requests. Each will share ideas on what possible improvements may exist and what collaborative role TDL may play. The panelists will encourage wide audience engagement in question and answer and discussions during the second half of the allotted panel time.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 Packaging Research Data for Long-Term Preservation(2017-05-25) Adair, Ashley; University of Texas at AustinThe Texas Advanced Computing Center (TACC) partnered with UT Libraries in 2016 to prepare an initial deposit of research data into the Digital Preservation Network (DPN). TACC's use case for DPN presented interesting considerations for data selection, description, packaging and recordkeeping due to the size and complex nature of the datasets themselves, and because data arising from TACC’s grant-funded projects change custody according to award lifecycles, while DPN is designed to last “beyond the life spans of individuals, technological systems, and organizations.” This presentation will report on the approach taken to preparing datasets for understandability and usefulness in the long term and the strategy devised to manage ownership of deposited data over time.Item Towards Researcher Participation in Research Information Systems(2016-05-25) Lee, Dong Joon; Stvilia, Besiki; Wu, Shuheng; Texas A&M University; Florida State University; City University of New YorkThis poster presents an ongoing collaborative study supported by OCLC/ALISE LIS Research Grant. This mainly includes description and research design of this study. The project explores researcher participation in research identity management systems (e.g., Google Scholar, ResearchGate, ORCID). It will especially discuss about knowledge base of how to design reliable, efficient and scalable solutions for the systems, motivate researchers to participate in the systems, and contribute to the system development in digital library settings. Accurate research identity identification and determination are essential for effective grouping, linking, aggregation, and retrieval of digital scholarship; evaluation of the research productivity and impact of individuals, groups, and institutions; and identification of expertise and skills. There are many different research identity management systems from publishers, libraries, universities, search engines and content aggregators with different data models, coverage and quality. Although knowledge curation by professionals usually produces the highest quality results, it may not be scalable because of its high cost. The literature on online communities shows that successful peer curation communities which are able to attract and retain enough participants can provide scalable knowledge curation solutions of a quality that is comparable to the quality of professionally curated content. Hence, the success of online research identity management systems may depend on the number of contributors and users they are able to recruit, motivate, and engage in research identity data curation. The outcomes of this exploratory research will include but not be limited to a qualitative theory of research identity data and information practices of researchers, quantitative model(s) of researchers’ priorities for different online research identity data and services, the factors that may affect their participation in and commitment to online research identity management systems, and their motivations to engage in research identity data curation. The study’s findings can greatly enhance our knowledge of the design of research identity data/metadata models, services, quality assurance activities, and, mechanisms for recruiting and retaining researchers for provision and maintenance of identity data.