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Shaun Field

Biographic Data

ID7716174
NAMEShaun Field
GIVEN NAMESShaun
FAMILY NAMEField
SIGNATUREFIELD S
AFFILIATIONSKnology, New York City, USA
ORCID0000-0002-3730-5006
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Seeing the Forest, Not the Trees – Crowdsourced Data Collection Methods for Sector-Wide Research

    John Voiklis, Kate Flinner et al.•ARTICLE•Visitor Studies•2023

    Research that involves a large and broad sample of museums can produce a representative picture of the entire museum sector and lead to global insights that may not be attainable through a more local lens. However, many museum research projects use a small sample of museums, meant to represent the entire field. We propose a research method that distributes data collection across a broad swath of museums to provide local detail that can be used to…

No prominent works on this page.

  • Seeing the Forest, Not the Trees – Crowdsourced Data Collection Methods for Sector-Wide Research

    John Voiklis, Kate Flinner et al.•ARTICLE•Visitor Studies•2023

    Research that involves a large and broad sample of museums can produce a representative picture of the entire museum sector and lead to global insights that may not be attainable through a more local lens. However, many museum research projects use a small sample of museums, meant to represent the entire field. We propose a research method that distributes data collection across a broad swath of museums to provide local detail that can be used to…

Animal and Plant Science Education (1 work) · Citizen science (1 work) · Computer Science (1 work) · Crowdsourcing (1 work) · Data archive (1 work) · Data collection (1 work) · Data science (1 work) · Field (mathematics (1 work) · Geography (1 work) · Information retrieval (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae