DataDay!: Designing and Assessing a Research Data Workshop for Subject Librarians

BACKGROUND Many libraries have launched or adapted services to address the research data needs of campus faculty and students. At the University of Colorado Boulder (CU-Boulder), local demand for research data training emerged from a broader assessment of training needs for subject librarians. The findings from this assessment led to the development of a day-long workshop called DataDay! that aimed to expand and translate the skills of subject librarians into the context of research data support. DESCRIPTION OF PROGRAM The DataDay! workshop incorporated hands-on exercises with expert presentations, informal discussions, and print handouts. The workshop allowed participants to gain experience with activities like working with real data sets and developing materials for outreach about research data services. Several instruments were used to assess the workshop learning outcomes, which included changes in knowledge and comfort levels related to engaging in research data support. Assessment activities also measured how well participants applied concepts taught in the workshop to novel situations. NEXT STEPS Future research data training efforts for CU-Boulder librarians will be informed by the DataDay! workshop assessment results, and this workshop may provide a model for other institutions to use to train subject librarians to adapt to new roles in support of research data. There is also a need for the lessons learned from local training efforts like DataDay! to inform the development of resources to support the broader subject librarian community as their institutions launch and grow research data services

Assessing scholarly communication and research data training needs

Purpose – This study aims to develop a systematic approach for assessing local training needs in order to reskill liaison librarians for new roles in scholarly communication and research data management. Design/methodology/approach – This study followed a training needs assessment approach to develop a survey instrument that was administered electronically to liaison librarians. Survey data were analysed to create an overall prioritization score used to rank local training topics in terms of need. Additional data will inform the design, including formats, of a training agenda to meet these needs. Findings – Survey results indicated that training for research data topics should be prioritized and addressed using hands-on methods that would allow liaison librarians to develop tangible skills directly applicable to individual outreach activities. Research limitations/implications – Training priorities often involve factors beyond the scope of this training needs assessment methodology. This methodology also presupposes a list of potential training topics. All training efforts resulting from this study will be assessed in order to determine the effectiveness of the initial interventions and inform the next steps in this iterative training agenda. Practical implications – Involving potential trainees in the prioritization and development of a training agenda provides valuable information and may lead to increased receptivity to training. Originality/value – This study provides a model for academic libraries to use to assess training needs in order to reskill current staff to adapt to a rapidly changing research and scholarly communication landscape

DataQ: A Collaborative Platform for Sharing Knowledge and Developing Best Practices to Support Research Data in Libraries

Objective As librarians take on new roles in supporting the management of research data, they may require opportunities and tools for professional development. To address this need, librarians at the University of Colorado Boulder began exploring ways to offer librarians guidance for answering research data questions. Methods The DataQ project is an IMLS­funded effort by the University of Colorado Boulder Libraries, the Greater Western Library Alliance (GWLA), and the Great Plains Network (GPN) to develop an online knowledge­base of research data questions and answers curated for and by the library community. Content will be crowd­sourced and reviewed by an editorial team. The site will also include links to resources, best practices, and practical approaches for working with researchers to address specific research data issues. Results The DataQ project is intended to address the growing need for resources to assist libraries with providing support for the research data needs of faculty and students. The project team is currently establishing its editorial team and designing the site and will be seeking content contributions during 2015. The project will also establish an online community of professionals who will collaborate in the development of practical, authoritative, and peer­reviewed answers to research data questions. Conclusions With the management and curation of research data becoming a priority for many institutions, libraries, as campus centers for research services and infrastructure, are often looked to as a point of support for research data questions, and practical tools, such as DataQ, are essential for supporting this work in libraries

DataQ: A Collaborative Platform for Answering Research Data Questions in Libraries

DataQ is an IMLS­-funded project led by the University of Colorado Boulder Libraries, GWLA, and GPN to develop an online knowledge-­base of research data questions and answers curated for and by the library community. Publicly submitted questions to DataQ are reviewed by an Editorial Team of experts from 15 institutions across the United States. The site also includes links to resources, best practices, and practical approaches to working with researchers to address specific research data issues. This update from members of the Editorial Team will discuss outcomes and future directions following the first year of the DataQ project

A high-tech, low-cost, Internet of Things surfboard fin for coastal citizen science, outreach, and education

Coastal populations and hazards are escalating simultaneously, leading to an increased importance of coastal ocean observations. Many well-established observational techniques are expensive, require complex technical training, and offer little to no public engagement. Smartfin, an oceanographic sensor–equipped surfboard fin and citizen science program, was designed to alleviate these issues. Smartfins are typically used by surfers and paddlers in surf zone and nearshore regions where they can help fill gaps between other observational assets. Smartfin user groups can provide data-rich time-series in confined regions. Smartfin comprises temperature, motion, and wet/dry sensing, GPS location, and cellular data transmission capabilities for the near-real-time monitoring of coastal physics and environmental parameters. Smartfin\u27s temperature sensor has an accuracy of 0.05 °C relative to a calibrated Sea-Bird temperature sensor. Data products for quantifying ocean physics from the motion sensor and additional sensors for water quality monitoring are in development. Over 300 Smartfins have been distributed around the world and have been in use for up to five years. The technology has been proven to be a useful scientific research tool in the coastal ocean—especially for observing spatiotemporal variability, validating remotely sensed data, and characterizing surface water depth profiles when combined with other tools—and the project has yielded promising results in terms of formal and informal education and community engagement in coastal health issues with broad international reach. In this article, we describe the technology, the citizen science project design, and the results in terms of natural and social science analyses. We also discuss progress toward our outreach, education, and scientific goals

Growth and nutrition in children with Ataxia telangiectasia

Background: Ataxia telangiectasia (A-T) is a rare multisystem disease with high early mortality from lung disease and cancer. Nutritional failure adversely impacts outcomes in many respiratory diseases. Several factors influence nutrition in children with A-T. We hypothesised that children with A-T have progressive growth failure and that early gastrostomy tube feeding (percutaneous endoscopic gastrostomy, or PEG) is a favourable management option with good nutritional outcomes. Methods: Data were collected prospectively on weight, height and body mass index (BMI) at the national paediatric A-T clinic. Adequacy and safety of oral intake was assessed. Nutritional advice was given at each multidisciplinary review. Results: 101 children (51 girls) had 222 measurements (32 once, 32 twice, 24 thrice) between 2009 and 2016. Median (range) age was 9.3 (1.5 to 18.4) years. Mean (sd) weight, height and BMI Z-scores were respectively -1.03(1.57), -1.17 (1.18) and -0.36 (1.43). 35/101 children had weight Z-scores below -2 on at least one occasion. Weight, height and BMI Z-scores declined over time. Decline was most obvious after 8 years of age. 14/101 (13.9%) children had a PEG, with longitudinal data available for 12. In a nested case control study, there was a trend for improvement in weight in those with a PEG (p = 0.06). Conclusions: A-T patients decline in growth over time. There is an urgent need for new strategies, including an understanding of why growth falters. We suggest early proactive consideration of PEG from age 8 years onwards in order to prevent progressive growth failure

Association of early imaging for back pain with clinical outcomes in older adults

IMPORTANCE: In contrast to the recommendations for younger adults, many guidelines allow for older adults with back pain to undergo imaging without waiting 4 to 6 weeks. However, early imaging may precipitate interventions that do not improve outcomes. OBJECTIVE: To compare function and pain at the 12-month follow-up visit among older adults who received early imaging with those who did not receive early imaging after a new primary care visit for back pain without radiculopathy. DESIGN, SETTING, AND PARTICIPANTS: Prospective cohort of 5239 patients 65 years or older with a new primary care visit for back pain (2011-2013) in 3 US health care systems. We matched controls 1:1 using propensity score matching of demographic and clinical characteristics, including diagnosis, pain severity, pain duration, functional status, and prior resource use. EXPOSURES: Diagnostic imaging (plain films, computed tomography [CT], magnetic resonance imaging [MRI]) of the lumbar or thoracic spine within 6 weeks of the index visit. PRIMARY OUTCOME: back or leg pain-related disability measured by the modified Roland-Morris Disability Questionnaire (score range, 0-24; higher scores indicate greater disability) 12 months after enrollment. RESULTS: Among the 5239 patients, 1174 had early radiographs and 349 had early MRI/CT. At 12 months, neither the early radiograph group nor the early MRI/CT group differed significantly from controls on the disability questionnaire. The mean score for patients who underwent early radiography was 8.54 vs 8.74 among the control group (difference, -0.10 [95% CI, -0.71 to 0.50]; mixed model, P = .36). The mean score for the early MRI/CT group was 9.81 vs 10.50 for the control group (difference,-0.51 [-1.62 to 0.60]; mixed model, P = .18). CONCLUSIONS AND RELEVANCE: Among older adults with a new primary care visit for back pain, early imaging was not associated with better 1-year outcomes. The value of early diagnostic imaging in older adults for back pain without radiculopathy is uncertain

Activity-Based Funding of Hospitals and Its Impact on Mortality, Readmission, Discharge Destination, Severity of Illness, and Volume of Care: A Systematic Review and Meta-Analysis

Background: Activity-based funding (ABF) of hospitals is a policy intervention intended to re-shape incentives across health systems through the use of diagnosis-related groups. Many countries are adopting or actively promoting ABF. We assessed the effect of ABF on key measures potentially affecting patients and health care systems: mortality (acute and post-acute care); readmission rates; discharge rate to post-acute care following hospitalization; severity of illness; volume of care.     Methods: We undertook a systematic review and meta-analysis of the worldwide evidence produced since 1980. We included all studies reporting original quantitative data comparing the impact of ABF versus alternative funding systems in acute care settings, regardless of language. We searched 9 electronic databases (OVID MEDLINE, EMBASE, OVID Healthstar, CINAHL, Cochrane CENTRAL, Health Technology Assessment, NHS Economic Evaluation Database, Cochrane Database of Systematic Reviews, and Business Source), hand-searched reference lists, and consulted with experts. Paired reviewers independently screened for eligibility, abstracted data, and assessed study credibility according to a pre-defined scoring system, resolving conflicts by discussion or adjudication.     Results: Of 16,565 unique citations, 50 US studies and 15 studies from 9 other countries proved eligible (i.e. Australia, Austria, England, Germany, Israel, Italy, Scotland, Sweden, Switzerland). We found consistent and robust differences between ABF and no-ABF in discharge to post-acute care, showing a 24% increase with ABF (pooled relative risk = 1.24, 95% CI 1.18–1.31). Results also suggested a possible increase in readmission with ABF, and an apparent increase in severity of illness, perhaps reflecting differences in diagnostic coding. Although we found no consistent, systematic differences in mortality rates and volume of care, results varied widely across studies, some suggesting appreciable benefits from ABF, and others suggesting deleterious consequences.     Conclusions: Transitioning to ABF is associated with important policy- and clinically-relevant changes. Evidence suggests substantial increases in admissions to post-acute care following hospitalization, with implications for system capacity and equitable access to care. High variability in results of other outcomes leaves the impact in particular settings uncertain, and may not allow a jurisdiction to predict if ABF would be harmless. Decision-makers considering ABF should plan for likely increases in post-acute care admissions, and be aware of the large uncertainty around impacts on other critical outcomes