Presentation for the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages. This presentation provides an example of a data management plan for a linguistics archiving project.

This Data Management Plan (DMP) describes the data management processes and activities under the Pacific Northwest National Laboratory (PNNL) Site Environmental Monitoring Plan. The activities currently in the Plan are limited to offsite environmental surveillance of PNNL Site radiological releases to the air. The DMP provides guidance on data capture, processing and transmittal, and database configuration management. The requirements for the PNNL Site Environmental Monitoring (SEM) Database and associated records are documented in order to assure that vital data are recorded accurately, stored in a manner that retains data integrity, and are suitable for analyst to use. Protocols and procedures must ensure the data will be adequate and robust.

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

Video recording of a presentation discussing an example of a data management plan for a linguistics archiving project. This presentation was part of an afternoon session at the 2017 Symposium on Developing Infrastructure for Computational Resources on South Asian Languages.

Data management plan for the grant "Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response." Research to develop open source integrative computational tools that perform secondary analysis of publicly available multi-omics biological, clinical and environmental exposure datasets to infer context-specific regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.

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.

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.

The Pacific Northwest Site Office (PNSO) manages the contract for operations at the U.S. Department of Energy Office of Science (DOE-SC) Pacific Northwest National Laboratory (PNNL) Site in Richland, Washington. Radiological operations at the DOE-SC PNNL Site expanded in 2010 with the completion of facilities at the Physical Sciences Facility. As a result of the expanded radiological work at the site, the Washington State Department of Health (WDOH) has required that offsite environmental surveillance be conducted as part of the PNNL Site Radioactive Air Emissions License. The environmental monitoring and surveillance requirements of various orders, regulations, and guidance documents consider emission levels and subsequent risk of negative human and environmental impacts. This Environmental Monitoring Plan (EMP) describes air surveillance activities at the DOE-SC PNNL Site. The determination of offsite environmental surveillance needs evolved out of a Data Quality Objectives process (Barnett et al. 2010) and Implementation Plan (Snyder et al. 2010). The entire EMP is a compilation of several documents, which include the Main Document (this text), Attachment 1: Sampling and Analysis Plan, Attachment 2: Data Management Plan, and Attachment 3: Dose Assessment Guidance.

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 for an invited plenary session sponsored by the Texas Library Association (TLA) conference program committee at the 2013 TLA Annual Conference.

Presentation for the Association of Library and Information Science Education (ALISE) Annual Conference. This presentation discusses a competency-based approach for curriculum development in digital curation.

Report on the problem of data, workflows and methodologies at a variety of academic data curation sites, and the academic milieu of library and information schools that offer instruction in data curation.

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BigBOSS is a Stage IV ground-based dark energy experiment to study baryon acoustic oscillations (BAO) and the growth of structure with a wide-area galaxy and quasar redshift survey over 14,000 square degrees. It has been conditionally accepted by NOAO in response to a call for major new instrumentation and a high-impact science program for the 4-m Mayall telescope at Kitt Peak. The BigBOSS instrument is a robotically-actuated, fiber-fed spectrograph capable of taking 5000 simultaneous spectra over a wavelength range from 340 nm to 1060 nm, with a resolution R = {lambda}/{Delta}{lambda} = 3000-4800. Using data from imaging surveys that are already underway, spectroscopic targets are selected that trace the underlying dark matter distribution. In particular, targets include luminous red galaxies (LRGs) up to z = 1.0, extending the BOSS LRG survey in both redshift and survey area. To probe the universe out to even higher redshift, BigBOSS will target bright [OII] emission line galaxies (ELGs) up to z = 1.7. In total, 20 million galaxy redshifts are obtained to measure the BAO feature, trace the matter power spectrum at smaller scales, and detect redshift space distortions. BigBOSS will provide additional constraints on early dark energy and on the curvature of …

BigBOSS will obtain observational constraints that will bear on three of the four 'science frontier' questions identified by the Astro2010 Cosmology and Fundamental Phyics Panel of the Decadal Survey: Why is the universe accelerating; what is dark matter and what are the properties of neutrinos? Indeed, the BigBOSS project was recommended for substantial immediate R and D support the PASAG report. The second highest ground-based priority from the Astro2010 Decadal Survey was the creation of a funding line within the NSF to support a 'Mid-Scale Innovations' program, and it used BigBOSS as a 'compelling' example for support. This choice was the result of the Decadal Survey's Program Priorization panels reviewing 29 mid-scale projects and recommending BigBOSS 'very highly'.

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

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Article discussing competencies required for digital curation. The results of the analysis show that digital curation jobs are characterized by a complex interplay of various skills and knowledge. The findings of this study present emerging requirements for a qualified workforce in the field of digital curation.

Study involving the establishment of policies and practices to deploy, manage, categorize, retain, access, use, and archive informational records.

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.