Seeing the Forest, Not the Trees – Crowdsourced Data Collection Methods for Sector-Wide Research
Bibliographic Data
| ID | 15322780 |
|---|---|
| Authors | John Voiklis (0000-0002-1590-9028, Knology, New York City, USA, corresponding author), Kate Flinner (0000-0003-3936-2108, Independent researcher), Shaun Field (0000-0002-3730-5006, Knology, New York City, USA), Rupanwita Gupta (0000-0002-7276-4312, Independent researcher), John Fraser (0000-0001-8383-0699, Knology, New York City, USA), Joseph De La Torre Dwyer (0000-0002-2717-9077, Knology, New York City, USA), Shelley J Rank (0000-0003-2097-1165, Wildlife Conservation Society, New York City, USA), Kathryn Nock (Knology, New York City, USA) |
| Year | 2023 |
| Volume | 26 |
| Issue | 1 |
| Pages | 24-41 |
| Publication date | 2023-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Visitor Studies (JOURNAL) |
| Journal identifiers | ISSN: 1064-5578 • E-ISSN: 1934-7715 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/10645578.2023.2167404 |
| OpenAlex | W4319828030 |
| Language | EN |
| Citations received | 1 |
| References cited | 16 |
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 assemble a collective picture on a topic of interest to the field. This method, called crowdsourced data collection, was used in a yearlong study of zoos and aquariums in North America, in which 95 institutions were asked to collect data for one to two survey modules per month. We hoped this approach would produce data comparable to data gathered with conventional methods and reduce burden on participating institutions. We found the method replicated nationally representative studies with two validated scales. While only one third of the institutions completed all modules, institutions typically did 8-9 modules, with only slight decreases in the probability of completing the study over time. These results suggest researchers can use crowdsourced data collection to reliably study the museum sector. We also discuss the challenges of this method for researchers and institutions participating as data collection sites
Citizen science · Crowdsourcing · Data archive · Data collection · Data science · Field (mathematics · Geography · Information retrieval · Political science · Public relations · Sample (material · Social science · Sociology · Statistics · Survey data collection · World Wide Web · Animal and Plant Science Education · Computer Science · Museums and Cultural Heritage · Species Distribution and Climate Change
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |