Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2021Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study28citations
  • 2020Suitability and Sufficiency of Telehealth Clinician-Observed, Participant-Collected Samples for SARS-CoV-2 Testing: The iCollect Cohort Pilot Study40citations

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Chart of shared publication
Guest, Jodie L.
2 / 2 shared
Fortin-Leung, Kingsley
1 / 1 shared
Stephenson, Rob
1 / 2 shared
Bonar, Erin
1 / 1 shared
Filipowicz, Rebecca
1 / 1 shared
Chavanduka, Tanaka
1 / 1 shared
Valentine-Graves, Mariah
1 / 1 shared
Goedecke, Zoe
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Guarner, Jeannette
1 / 1 shared
Valencia, Rachel
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Sailey, Charles
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Nakano-Okuno, Mariko
1 / 1 shared
Sanchez, Travis
1 / 2 shared
Del Rio, Carlos
1 / 2 shared
Chart of publication period
2021
2020

Co-Authors (by relevance)

  • Guest, Jodie L.
  • Fortin-Leung, Kingsley
  • Stephenson, Rob
  • Bonar, Erin
  • Filipowicz, Rebecca
  • Chavanduka, Tanaka
  • Valentine-Graves, Mariah
  • Goedecke, Zoe
  • Guarner, Jeannette
  • Valencia, Rachel
  • Sailey, Charles
  • Nakano-Okuno, Mariko
  • Sanchez, Travis
  • Del Rio, Carlos
OrganizationsLocationPeople

article

Methods for Authenticating Participants in Fully Web-Based Mobile App Trials from the iReach Project: Cross-sectional Study

  • Guest, Jodie L.
  • Adam, Elizabeth
  • Fortin-Leung, Kingsley
  • Stephenson, Rob
  • Bonar, Erin
  • Filipowicz, Rebecca
  • Chavanduka, Tanaka
Abstract

<jats:sec><jats:title>Background</jats:title><jats:p>Mobile health apps are important interventions that increase the scale and reach of prevention services, including HIV testing and prevention counseling, pre-exposure prophylaxis, condom distribution, and education, of which all are required to decrease HIV incidence rates. The use of these web-based apps as well as fully web-based intervention trials can be challenged by the need to remove fraudulent or duplicate entries and authenticate unique trial participants before randomization to protect the integrity of the sample and trial results. It is critical to ensure that the data collected through this modality are valid and reliable.</jats:p></jats:sec><jats:sec><jats:title>Objective</jats:title><jats:p>The aim of this study is to discuss the electronic and manual authentication strategies for the iReach randomized controlled trial that were used to monitor and prevent fraudulent enrollment.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>iReach is a randomized controlled trial that focused on same-sex attracted, cisgender males (people assigned male at birth who identify as men) aged 13-18 years in the United States and on enrolling people of color and those in rural communities. The data were evaluated by identifying possible duplications in enrollment, identifying potentially fraudulent or ineligible participants through inconsistencies in the data collected at screening and survey data, and reviewing baseline completion times to avoid enrolling bots and those who did not complete the baseline questionnaire. Electronic systems flagged questionable enrollment. Additional manual reviews included the verification of age, IP addresses, email addresses, social media accounts, and completion times for surveys.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The electronic and manual strategies, including the integration of social media profiles, resulted in the identification and prevention of 624 cases of potential fraudulent, duplicative, or ineligible enrollment. A total of 79% (493/624) of the potentially fraudulent or ineligible cases were identified through electronic strategies, thereby reducing the burden of manual authentication for most cases. A case study with a scenario, resolution, and authentication strategy response was included.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>As web-based trials are becoming more common, methods for handling suspicious enrollments that compromise data quality have become increasingly important for inclusion in protocols.</jats:p></jats:sec><jats:sec><jats:title>International Registered Report Identifier (IRRID)</jats:title><jats:p>RR2-10.2196/10174</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • inclusion
  • size-exclusion chromatography