Dataset Information

Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative.

ABSTRACT: The Computational Modeling in Biology Network (COMBINE) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE's aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts involved in it. Our goals are to help guide readers toward standards that may be suitable for their research activities, as well as to direct interested readers to relevant communities where they can best expect to receive assistance in how to develop interoperable computational models.

SUBMITTER: Hucka M

PROVIDER: S-EPMC4338824 | biostudies-other | 2015

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative.

Hucka Michael M Nickerson David P DP Bader Gary D GD Bergmann Frank T FT Cooper Jonathan J Demir Emek E Garny Alan A Golebiewski Martin M Myers Chris J CJ Schreiber Falk F Waltemath Dagmar D Le Novère Nicolas N

Frontiers in bioengineering and biotechnology 20150224

The Computational Modeling in Biology Network (COMBINE) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE's aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts i ...[more]

PMID: 25759811

Similar Datasets

Project description:Introduction: Historically, CHW trainings have been developed to support community-based CHWs. When CHWs have been trained to engage with patients, typically such trainings have been for short term grant funded projects, focusing on a specific health intervention and not for long term, ongoing engagement of CHWs employed in clinical settings. To the best of our knowledge, this is the first such effort to describe the development of a standards-based training curriculum for clinic-based CHWs using a novel conceptual framework. Methods: Our conceptual approach for curricular development has several innovative features including: (1) a foundational consultation process with CHW national experts to inform curricular development approach, process and content; (2) utilization of the CHW Consensus Project (C3 Project) to provide curricular standards and guide learning objectives; (3) integration of three key stakeholder group perspectives (patients, healthcare teams, and healthcare systems); (4) use of popular education principles, aiming to foster a collaborative learning process; (5) integration of adult learning principles which build on learners' experiences, culminating in a modified apprenticeship model and (6) collaboration with clinical partners throughout planning and development of the curriculum. Results: The resulting standards-based curriculum is comprised of 10 modules, which span three areas of focus: (1) Establishing a professional CHW identity and competencies; (2) Outlining the context, processes and key actors in health care settings with whom CHWs will engage; and (3) Identifying the main forces that shape health and health care outcomes of patients/families and communities. Discussion: We highlight four lessons from our curriculum development process that may help other such efforts. First, curricular development should utilize CHW standards, existing training materials, and community-focused principles to inform curricular content and learning outcomes. Second, curricula should support training delivery using experience-based, participatory approaches, consistent with adult education and popular education principles. Third, training development for clinical settings should also draw from clinical CHW experiences and input. Fourth, curricula should support training for key stakeholders and champions in clinical organizations to improve organizational readiness for integrating CHWs into healthcare teams and health systems. Our results contribute to growing research on effective CHW training methods for clinical settings.

Project description:BackgroundOnline health information, if evidence-based and unbiased, can improve patients' and caregivers' health knowledge and assist them in disease management and health care decision-making.ObjectiveTo identify standards for the development of health information resources on the internet for patients.MethodsWe searched in MEDLINE, CINAHL, Scopus, Web of Science, and Google Scholar for publications describing evaluation instruments for websites providing health information. Eligible instruments were identified by three independent reviewers and disagreements resolved by consensus. Items reported were extracted and categorized into seven domains (accuracy, completeness and comprehensiveness, technical elements, design and aesthetics, usability, accessibility, and readability) that were previously thought to be a minimum requirement for websites.ResultsOne hundred eleven articles met inclusion criteria, reporting 92 evaluation instruments (1609 items). We found 74 unique items that we grouped into the seven domains. For the accuracy domain, one item evaluated information provided in concordance with current guidelines. For completeness and comprehensiveness, 18 items described the disease with respect to various topics such as etiology or therapy, among others. For technical elements, 27 items evaluated disclosure of authorship, sponsorship, affiliation, editorial process, feedback process, privacy, and data protection. For design and aesthetics, 10 items evaluated consistent layout and relevant graphics and images. For usability, 10 items evaluated ease of navigation and functionality of internal search engines. For accessibility, five items evaluated the availability of websites to people with audiovisual disabilities. For readability, three items evaluated conversational writing style and use of a readability tool to determine the reading level of the text.ConclusionWe identified standards for the development of online patient health information. This proposed instrument can serve as a guideline to develop and improve how health information is presented on the internet.

Dataset Information

Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative.

Publications

Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets