The Experiences of Older Adults Living With Inflammatory Bowel Disease: A Scoping Review.

The prevalence of inflammatory bowel disease is rising in persons older than 65 years. Although there is extensive literature on inflammatory bowel disease in older adults from a disease-related outcome, epidemiological, and treatment perspective, the older adult perspective on inflammatory bowel disease-related care needs and experiences is not well represented. This scoping review examines the existing literature regarding the care experiences of older adults living with inflammatory bowel disease.

Integrating open science education into an undergraduate health professional research program.

Objective: Open science (OS) is a global movement focused on improving research equity, reproducibility, and transparency of research outputs in publicly funded research. While OS education in academia is becoming more common, examples of health sciences librarians providing OS training are not. This paper describes how a librarian collaborated with teaching faculty and a research program coordinator to integrate an OS curriculum into an undergraduate professional practice course and assess students' perceptions of OS after participating.

A scoping review of ageism towards older adults in cancer care.

Introduction: Ageism towards older adults with cancer may impact treatment decisions, healthcare interactions, and shape health/psychosocial outcomes. The purpose of this review is twofold: (1) To synthesize the literature on ageism towards older adults with cancer in oncology and (2) To identify interventions that address ageism in the healthcare context applicable to oncology.

Materials And Methods: We conducted a scoping review following Arksey and O'Malley and Levac methods and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

Health sciences librarians' engagement in open science: a scoping review.

Objectives: To identify the engagement of health sciences librarians (HSLs) in open science (OS) through the delivery of library services, support, and programs for researchers.

Methods: We performed a scoping review guided by Arksey and O'Malley's framework and Joanna Briggs' Manual for Scoping Reviews. Our search methods consisted of searching five bibliographic databases (MEDLINE, Embase, CINAHL, LISTA, and Web of Science Core Collection), reference harvesting, and targeted website and journal searching.

Data-sharing practices in publications funded by the Canadian Institutes of Health Research: a descriptive analysis.

Background: As Canada increases requirements for research data management and sharing, there is value in identifying how research data are shared and what has been done to make them findable and reusable. This study aimed to understand Canada's data-sharing landscape by reviewing how data funded by the Canadian Institutes of Health Research (CIHR) are shared and comparing researchers' data-sharing practices to best practices for research data management and sharing.

Methods: We performed a descriptive analysis of CIHR-funded publications from PubMed and PubMed Central published between 1946 and Dec.

Announcing the 's data sharing policy.

As librarians are generally advocates of open access and data sharing, it is a bit surprising that peer-reviewed journals in the field of librarianship have been slow to adopt data sharing policies. Starting October 1, 2019, the is taking a step forward and implementing a firm data sharing policy to increase the rigor and reproducibility of published research, enable data reuse, and promote open science. This editorial explains the data sharing policy, describes how compliance with the policy will fit into the journal's workflow, and provides further guidance for preparing for data sharing.

A model for initiating research data management services at academic libraries.

Background: Librarians developed a pilot program to provide training, resources, strategies, and support for medical libraries seeking to establish research data management (RDM) services. Participants were required to complete eight educational modules to provide the necessary background in RDM. Each participating institution was then required to use two of the following three elements: (1) a template and strategies for data interviews, (2) the Teaching Toolkit to teach an introductory RDM class, or (3) strategies for hosting a data class series.

A two-tiered curriculum to improve data management practices for researchers.

Background: Better research data management (RDM) provides the means to analyze data in new ways, effectively build on another researcher's results, and reproduce the results of an experiment. Librarians are recognized by many as a potential resource for assisting researchers in this area, however this potential has not been fully realized in the biomedical research community. While librarians possess the broad skill set needed to support RDM, they often lack specific knowledge and time to develop an appropriate curriculum for their research community.

Adapting data management education to support clinical research projects in an academic medical center.

Background: Librarians and researchers alike have long identified research data management (RDM) training as a need in biomedical research. Despite the wealth of libraries offering RDM education to their communities, clinical research is an area that has not been targeted. Clinical RDM (CRDM) is seen by its community as an essential part of the research process where established guidelines exist, yet educational initiatives in this area are unknown.

Practicing what we preach: developing a data sharing policy for the .

Providing access to the data underlying research results in published literature allows others to reproduce those results or analyze the data in new ways. Health sciences librarians and information professionals have long been advocates of data sharing. It is time for us to practice what we preach and share the data associated with our published research.

Data Day to Day: building a community of expertise to address data skills gaps in an academic medical center.

Background: The New York University Health Sciences Library data services team had developed educational material for research data management and data visualization and had been offering classes at the request of departments, research groups, and training programs, but many members of the medical center were unaware of these library data services. There were also indications of data skills gaps in these subject areas and other data-related topics.

Case Presentation: The data services team enlisted instructors from across the medical center with data expertise to teach in a series of classes hosted by the library.

Improving data collection, documentation, and workflow in a dementia screening study.

Background: A clinical study team performing three multicultural dementia screening studies identified the need to improve data management practices and facilitate data sharing. A collaboration was initiated with librarians as part of the National Library of Medicine (NLM) informationist supplement program. The librarians identified areas for improvement in the studies' data collection, entry, and processing workflows.

COST SAVINGS AND PALLIATIVE CARE REFERRALS FROM THE EMERGENCY DEPARTMENT.

Early palliative care consultation ha the potential to provide comfort to patients and families, and decrease costs and length of stay.

Starting the data conversation: informing data services at an academic health sciences library.

Objective: The research obtained information to plan data-related products and services.

Methods: Biomedical researchers in an academic medical center were selected using purposive sampling and interviewed using open-ended questions based on a literature review. Interviews were conducted until saturation was achieved.

Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study.

Objective: This study informs efforts to improve the discoverability of and access to biomedical datasets by providing a preliminary estimate of the number and type of datasets generated annually by research funded by the U.S. National Institutes of Health (NIH).