Presentation for the Fall 2017 Scholarly Communication Workshop series. This presentation discusses data, data management plans, and best practices for organizing and disseminating data.

Data management plan for the grant, "Lone Star Ink: Texas NDNP 2023."

Data management plan for the grant "Programmatic Extraction of ‘Documents' from Web Archives." This research project seeks to evaluate the use of machine learning algorithms to successfully identify and extract publications contained in existing Web archives. Identifying these documents will empower libraries, archives, and museums to meet their curatorial missions.

Data management plan for the grant "Making Audio/Visual Digital Collections Content Accessible for All Texans." Project to improve audio/visual (A/V) content accessibility available through The Portal to Texas History at the University of North Texas Libraries. The project addresses the needs of Deaf and Blind users who often lack fundamental access for many A/V materials in digital repositories while also providing benefit to abled users and those with other special needs through efforts to transcribe, translate, describe, interpret, and chapter both research-oriented and primary-source A/V content.

Data management plan for the grant, "EAGER: Secure Research Impact Metric Data Exchange: Data Supply Chain and Vocabulary Development." This project aims to inform whether a national cyberinfrastructure is needed to support the exchange and processing of sensitive and proprietary usage and impact metrics generated by US-based research publishers and distributors. Specifically, this project will advance open science by: a) documenting the usage and impact data supply chain for article and data research outputs, to complement findings for books, and b) engaging research infrastructure stakeholders to crosswalk usage and impact related vocabularies across scholarship outputs and disciplines.

Paper for a Council on Library and Information Resources (CLIR) report on research data management. This paper reports on data management and the DataRes Project.

Natural history collections house immense amounts of data, but the majority of data is only accessible by locating the collection label, which is usually attached to the physical specimen. This method of data retrieval is time consuming and can be very damaging to fragile specimens. Digitizing the collections is the one way to reduce the time and potential damage related to finding the collection objects. The Elm Fork Natural Heritage Museum is a natural history museum located at the University of North Texas and contains collections of both vertebrate and invertebrate taxa, as well as plants. This project designed a collection digitization workflow for Elm Fork by working through digitizing the Benjamin B. Harris Herbarium. The collection was cataloged in Specify 6, a database program designed for natural history collection management. By working through one of the museum’s collections, the project was able to identify and address challenges related to digitizing the museum’s holdings in order to create robust workflows. The project also produced a series of documents explaining common processes in Specify and a data management plan.

Data management plan for the grant "Texas Digital Newspaper Project." This project includes the digitization of 100,000 pages of Texas newspapers dating from 1836 to 1922, as part of the state's participation in the National Digital Newspaper Program (NDNP). The University of North Texas plans to digitize and make available to Chronicling America 100,000 pages of historic Texas newspapers. The selected titles will reflect the political and economic history of the state; provide coverage for major regions of the state, including most major population areas; and have a broad chronological span. Additionally, titles selected during this project will focus on non-English newspapers important to the history of Texas which, for several reasons, have been overlooked and are underrepresented in national digital newspaper holdings. Pulling on the strengths and knowledge gained in previous years as an awardee, the UNT Libraries recognize the challenges involved in an undertaking of this scope and possesses the knowledge and management skills to achieve success.

This report examines how research institutions are responding to data management requirements of the National Science Foundation, National Institutes of Health, and other federal agencies. It also considers what role, if any, academic libraries and the library and information science profession should have in supporting researchers’ data management needs. University of North Texas (UNT) Library Director Martin Halbert opens the report with an overview of the DataRes Project, a two-year investigation of data management practices conducted at UNT with colleagues Spencer D. C. Keralis, Shannon Stark, and William E. Moen. His introduction is followed by a series of papers that were presented at the DataRes Symposium that UNT organized in December 2012.

Paper for the 2012 International iConference. This presentation discusses data management and the DataRes Project.

Paper presented at the 8th International Digital Curation Conference on the problematic future of research data management.

Presentation exploring Open Access, federal mandates for public access to research data, and support services available from the UNT Libraries. It was presented as part of the Division of Research and Innovation's Research BREAKS webinar series.

Article on integrating image-based research datasets into an existing digital repository infrastructure.

This study applies the knowledge, skills, and abilities (KSA) framework for eScience professionals to data service positions in academic libraries. Understanding the KSAs needed to provide data services is of crucial concern. The current study looks at KSAs of data professionals working in the United States academic libraries. An exploratory sequential mixed method design was adopted to discover the KSAs. The study was divided into two phases, a qualitative content analysis of 260 job advertisements for data professionals for Phase 1, and distribution of a self-administered online survey to data professionals working in academic libraries research data services (RDS) for Phase 2. The discovery of the KSAs from the content analysis of 260 job ads and the survey results from 167 data professionals were analyzed separately, and then Spearman rank order correlation was conducted in order to triangulate the data and compare results. The results from the study provide evidence on what hiring managers seek through job advertisements in terms of KSAs and which KSAs data professionals find to be important for working in RDS. The Spearman rank order correlation found strong agreement between job advertisement KSAs and data professionals perceptions of the KSAs.

As more and more scholars experiment with digital methods and with building digital collections, what measures are in place to make sure that the fruits of these labors are kept vital for the long term? Library directors and chief information officers sense that there is interest on the part of faculty, but does this mean they need to invest in a digital humanities center and hire new staff or just reconfigure the people and resources they already have? First and foremost, what does university leadership seek to gain from such an investment? This study seeks to address the fate of digital research resources - whether they be digital collections of scholarly or other materials, portals, encyclopedias, mapping tools, crowdsourced transcription projects, visualization tools, or other original and innovative projects that may be created by professors, library, or IT staff. Such projects have the potential to provide valuable tools and information to an international audience of learners. Without careful planning and execution, however, they can also all too easily slip between the cracks and quickly become obsolete.

Handout accompanying a panel presentation for the 2014 American Association of Colleges of Pharmacy (AACP) Annual Conference. This handout lists major resources relating to open access, copyright and publishers, and open data and data sharing.

Presentation discussing the DataRes and the CLIR/Sloan Research Projects on data management policies and practices. This presentation discusses these two collaborating projects researching emerging policies and practices in data management. These research projects are being undertaken by the Council on Library and Information Resources and the University of North Texas (UNT).

This document is a technical Recommendation for use in developing a broader consensus on what is required for an archive to provide permanent, or indefinite long-term, preservation of digital information. This Recommendation establishes a common framework of terms and concepts which comprise an Open Archival information System (OAIS). It allows existing and future archives to be more meaningfully compared and contrasted. It provides a basis for further standardization within an archival context and it should promote greater vendor awareness of, and support of, archival requirements. Through the process of normal evolution, it is expected that expansion, deletion, or modification of this document may occur. This Recommendation is therefore subject to CCSDS document management and change control procedures which are defined in Procedures Manual for the Consultative Committee for Space Data Systems. Current versions of CCSDS documents are maintained at the CCSDS Web site: http://www.ccsds.org/

Presentation for the National Digital Stewardship Alliance Content Workgroup. This presentation discusses managing data at the University of North Texas (UNT) Libraries.

Presentation for the 2014 Access Services Annual Conference. This presentation examines how the Head of Access Services at the University of North Texas (UNT) Libraries developed a marketing plan to increase awareness of services offered by the department.

The purpose of the study was to explore faculty attitudes towards institutional repositories in order to better understand their research habits and preferences. A better understanding of faculty needs and attitudes will enable academic libraries to improve institutional repository services and policies. A phenomenological approach was used to interview fourteen participants and conduct eight observations to determine how tenure-track faculty want to disseminate their research as well as their attitudes towards sharing research data. Interviews were transcribed and coded into emerging themes. Participants reported that they want their research to be read, used, and to have an impact. While almost all faculty see institutional repositories as something that would be useful for increasing the impact and accessibility of their research, they would consider publishers’ rights before depositing work in a repository. Researchers with quantitative data, and researchers in the humanities are more likely to share data than with qualitative or mixed data, which is more open to interpretation and inference. Senior faculty members are more likely than junior faculty members to be concerned about the context of their research data. Junior faculty members’ perception’ of requirements for tenure will inhibit their inclination to publish in open access journals, or share …

This report provides a synopsis of the Digital Preservation of Federal Information Summit held in San Antonio on April 3-4, 2016, including the event's structure, work sessions, and outcomes.

Video of the presentation "SHARE in Open Science and Open Access," discussing the development of SHARE, an openly available dataset that enables the tracking of research objects across the research lifecycle.

Paper included in a report for the Council on Library and Information Resources (CLIR) on research data management and the DataRes Project. This chapter highlights some of the most provocative findings of the DataRes Project on the topic of research data management in higher education and possible scenarios for the future and the implications of these scenarios.