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

Read, Kevin; LaPolla, Fred; Tolea, Magdalena I.; Galvin, James E.; Surkis, Alisa

doi:10.5195/jmla.2017.221

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…We therefore created an eighth module to provide strategies for libraries to initiate RDM services locally. We discussed likely partners and strategies for implementation and included both those that had been successful in our own institution [10, 18] as well as other institutions [35]. Of those librarians interviewed, three were able to teach within the timeframe of the pilot, and so formed the pilot cohort for the Teaching Toolkit.…”

Section: Resultsmentioning

confidence: 99%

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

Read¹,

Larson²,

Gillespie³

et al. 2019

PLoS ONE

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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. The goal of this project was to develop and pilot educational modules for librarians to learn RDM and a curriculum for them to subsequently use to train their own research communities. Materials and methods We created online modules for librarians that address RDM best practices, resources and regulations, as well as the culture and practice of biomedical research. Data was collected from librarians through questions embedded in the online modules on their self-reported changes in understanding of and comfort level with RDM using a retrospective pre-post design. We also developed a Teaching Toolkit which consists of slides, a script, and an evaluation form for librarians to use to teach an introductory RDM class to researchers at their own institutions. Researchers’ satisfaction with the class and intent to use the material they had learned was collected. Actual changes in RDM practices by researchers who attended was assessed with a follow-up survey administered seven months after the class. Results and discussion The online curriculum increased librarians’ self-reported understanding of and comfort level with RDM. The Teaching Toolkit, when employed by librarians to teach researchers in person, resulted in improved RDM practices. This two-tiered curriculum provides concise training and a ready-made curriculum that allows working librarians to quickly gain an understanding of RDM, and translate this knowledge to researchers through training at their own institutions.

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Section: Resultsmentioning

confidence: 99%

“…Librarians, with their knowledge of metadata, preservation, and discovery, are recognized by many as a potential resource for assisting researchers with RDM [11–18]. However, this potential has not been fully exploited, particularly in the biomedical research community.…”

Section: Introductionmentioning

confidence: 99%

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

Read¹,

Larson²,

Gillespie³

et al. 2019

PLoS ONE

Self Cite

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“…For statistical analyses, data stored in REDCap can export into a variety of statistical software formats. This feature improved the study team's efficiency when automatic data entering into Statistical Package for the Social Sciences (SPSS) by independence to errorprone manual data entry [26].…”

Section: Introductionmentioning

confidence: 99%

Using Electronic Data Capture for Cardiovascular Electrophysiology Invasive Procedures: An Important Step Towards Interoperable Clinical Registries

Shanbehzadeh

Kazemi-Arpanahi²,

Bostan

et al. 2020

Front Health Inform

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Introduction: The capture and integration of structured data from point of care into clinical registries has been a challenge. However, this effort is very important toward a qualitative patient care and research. Collection, organization and interpretation of clinical data can help to improve evidence-based medicine practices. Worksheets data capture are prevalent, but, not flexible, protected, workflow pleasant, and user friendly and do not support the creation of standardized and interoperable data. The aim of this study was to design and implement an Electronic Data Capture (EDC) instruments to be use in context of cardiovascular invasive procedures.Material and Methods: This descriptive and developmental study conducted in three phases as follows. (1) data standardization according national and international data element templates published by specialized societies; (2) developing of an initial data collection and clinical research workflow (3), establishing of electronic case reports using Research Electronic Data Capture (REDCap) in accordance with the Health Insurance Portability and Accountability Act (HIPAA) privacy rule.Results: Three case report forms was developed that included demographics, medical history, physical examination, laboratory tests, radiology examinations, Electrophysiology (EP) procedures, as well as medications and follow-up information. Data-entry validation criteria have been implementing in electronic data collection instrument to assure validity and precision when data enter in electronic form.Conclusion: This paper describes the process used to create an EDC application. Data collection applications were successfully develop as an a priori step in a clinical research for assisting data collection and management in a case of cardiovascular EP invasive procedures.

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“…My library, located in an academic medical center, has supported CRDM through National Library of Medicine informationist projects by collaborating with clinical research teams to improve data management practices [39] and, more recently, by serving as the front line of support for REDCap (an electronic data capture system for storing research data) by offering consultations and comprehensive training [40]. Through REDCap training, I identified a need to expand my knowledge of CRDM to better support the needs of our research community.…”

Section: Introductionmentioning

confidence: 99%

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

Read

2019

jmla

Self Cite

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BackgroundLibrarians 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.Case PresentationLeveraging my academic library’s experience supporting CRDM through informationist grants and REDCap training in our medical center, I developed a 1.5 hour CRDM workshop. This workshop was designed to use established CRDM guidelines in clinical research and address common questions asked by our community through the library’s existing data support program. The workshop was offered to the entire medical center 4 times between November 2017 and July 2018. This case study describes the development, implementation, and evaluation of this workshop.ConclusionsThe 4 workshops were well attended and well received by the medical center community, with 99% stating that they would recommend the class to others and 98% stating that they would use what they learned in their work. Attendees also articulated how they would implement the main competencies they learned from the workshop into their work. For the library, the effort to support CRDM has led to the coordination of a larger institutional collaborative training series to educate researchers on best practices with data, as well as the formation of institution-wide policy groups to address researcher challenges with CRDM, data transfer, and data sharing.

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

Cited by 7 publications

References 12 publications

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

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

Using Electronic Data Capture for Cardiovascular Electrophysiology Invasive Procedures: An Important Step Towards Interoperable Clinical Registries

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

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