Education Clearinghouse

The CLIC Education Clearinghouse is a centralized space where the CTSA community can find and share a variety of education and workforce development resources for a broad range of audiences, from the general public to Principal Investigators. Users can select and filter through a number of different areas: learning domains, tags (keywords), target learners, and more. Each entry presents a detailed profile of the resource so that users can efficiently choose a resource that’s right for them. These detailed profiles provide links (and access instructions, if needed) to the resources on the hub or external institution that is hosting the content.


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  • The toolkit comprises a set of power point slide sets (modules) intended to serve as a resource for persons delivering presentations aiming to heighten and facilitate older adult inclusion in clinical and translational research.
  • To accelerate translation, researchers need access to a broad range of data from a variety of sources (electronic health records, imaging, genetics, behavioral, etc.). These sources manage and store data differently, which creates the need for standardization. The Informatics Common Metric, which is in its second year, addresses the need to harmonize data across the CTSA Program. This will enhance
  • Georgetown University
    Howard University
    MedStar Washington Hospital Center
    George Washington University

    Session recordings are now available from the DC CTSA Consortium's 2022 DC CTSA Spring Regulatory Update & Hot Topics in Clinical and Translational Research. DAY 1 - LASTING IMPACTS OF THE COVID-19 PANDEMIC (APRIL 28, 2022) - Keynote Address - Transcriptome profiling of human blood as a platform for diagnostic biomarker development: Measure broadly, listen carefully - Panel 1: Long-term COVID-19

  • During this 60-minute webinar we will talk about resources for searching for publicly available datasets, and the process for registering and accessing government data using the National Survey on Drug Use and Health as a model. The United States government collects data on a variety of different health related topic areas and makes it available for researchers' use. However, the process can be
  • University Of Southern California
    Overview This 60-minute session informs attendees how social and environmental factors act as determinants of patients’ health. We will discuss an approach of how to use social indicators and environmental indicators already collected to enrich patient records facilitating better understanding impacts to their health.
  • Validation and data integrity are sometimes viewed as distinct disciplines, but when considered together, their mutual impact is clear. Just as validation strategy and implementation is required to ensure reliable manufacturing of pharmaceutical and medical device products, data integrity is often seen as an outcome of validation activities.

  • University of Iowa

    This is the first of five sessions Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta-Analysis of

  • University of Iowa

    This is the third of five sessions Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta-Analysis of

  • University of Iowa

    This is the second of 5 sessions Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta-Analysis of

  • University of Iowa

    This is the fourth in a series of five sessions. Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta

  • University Of Southern California

    This 2-hour interactive workshop "Tips for Collecting High-Quality Qualitative Data" is based on a unique qualitative research support service offered by the Southern California Clinical and Translational Science Institute (SC CTSI) core group called Biostatistics, Epidemiology and Research Design (BERD) and provided by Dr. Rachel Ceasar. Workshop facilitators, including Dr. Ceasar, offer tips for

  • University of Virginia

    Electronic medical record (EMR) data is encoded in patient charts through the course of clinical care and subsequent patient billing. Coded data in the electronic records (such as information stored as ICD/CPT/LOINC/RxNorm codes) provide vast amounts of valuable patient data. However, effectively applying data science tools to EMR data requires understanding dataset limitations and avoiding common

  • This module gives an overview of different gerontologized measures and resources.

  • CLIC
    This webcast provides an overview of concepts and approaches that hubs may consider in reaching data interoperability.
  • CLIC
    The interview-style webcast includes a variety of appropriate competencies for informatics personnel, as well as suggestions for best training practices.
  • CLIC
    This webcast identifies appropriate personnel for your informatics research team and suggestions for addressing their training needs.
  • CLIC
    The webcast identifies key partners and their importance in improving the Informatics metric.
  • CLIC

    The webcast describes methods for implementing data governance, ensuring data provenance and improving the ETL process

  • CLIC
    This webcast explores the importance of data standardization and warehousing for clinical research.
  • CLIC
    This webcast examines common data quality issues and provides suggestions for correcting them.
  • The webcast provides examples of how data interoperability was used in the N3C program for the COVID-19 pandemic. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • CLIC
    The webcast demonstrates the impact of organizational maturity on metric improvement. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • The webcast describes the purpose of the Informatics metric and its value to the CTSA Program. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • CLIC
    The webcast provides definitions and examples of commonly-used Informatics terms and phrases. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • CLIC
    The webcast describes the process used to identify themes from the 2019 Turn-the-Curve plans submitted by consortium hubs for their Informatics metric. The first five webcasts are an introduction to informatics, created to build foundational knowledge and to define key terms. We encourage you to watch them in order.
  • Oregon Health and Science University
    Case report Forms (CRFs) are standardized documents in which the study team records data collected in a clinical trial. CRFs should support compliant collection and documentation of research data by following Good Clinical Practice and Good Documentation guidelines. This seminar will cover definitions, operational considerations, and data requirements, while focusing on data outputs (data analysis
  • Oregon Health and Science University
    This class will cover the most common questions regarding survey design and administration - and provide the answers! Topics we will cover include: Writing great survey questions Choosing previously validated questions Selecting survey software and administration methods Maximizing response rates Budgeting for your survey Designing your survey to facilitate data analysis Piloting your survey. We
  • University Of Southern California

    In this 60-minute interactive workshop provided by the Education Resource Center (ERC) at the Southern California Clinical and Translational Science Institute (SC CTSI), facilitators will offer a new planning resource and workflow for coaching presenters on how to optimize the organization of their webinars and workshops. Using the provided resource as a template should assist with the marketing

  • Learn how to facilitate data operation in and between CTSA hubs. Also hear from experts at the Mayo Clinic on how to manage research metadata, such as information that would go to ClinicalTrials.gov, CRMS, and IRB systems.

  • Tufts University Boston

    This talk was presented as part of The Odyssey of OHDSI: Using Health Care Data for Research. You will be introduced to using one of the most mature OHDSI analytic tool sets in developing patient-level prediction models.