| Literature DB >> 29599548 |
Elizabeth R Ellwood1, Paul Kimberly2, Robert Guralnick3, Paul Flemons4, Kevin Love3, Shari Ellis3, Julie M Allen3, Jason H Best5, Richard Carter6, Simon Chagnoux7, Robert Costello2, Michael W Denslow8, Betty A Dunckel3, Meghan M Ferriter9, Edward E Gilbert10, Christine Goforth11, Quentin Groom12, Erica R Krimmel13, Raphael LaFrance3, Joann Lacey Martinec14, Andrew N Miller15, Jamie Minnaert-Grote15, Thomas Nash16, Peter Oboyski17, Deborah L Paul18, Katelin D Pearson19, N Dean Pentcheff20, Mari A Roberts21, Carrie E Seltzer22, Pamela S Soltis3, Rhiannon Stephens4, Patrick W Sweeney23, Matt von Konrat14, Adam Wall20, Regina Wetzer20, Charles Zimmerman21, Austin R Mast19.
Abstract
The digitization of biocollections is a critical task with direct implications for the global community who use the data for research and education. Recent innovations to involve citizen scientists in digitization increase awareness of the value of biodiversity specimens; advance science, technology, engineering, and math literacy; and build sustainability for digitization. In support of these activities, we launched the first global citizen-science event focused on the digitization of biodiversity specimens: Worldwide Engagement for Digitizing Biocollections (WeDigBio). During the inaugural 2015 event, 21 sites hosted events where citizen scientists transcribed specimen labels via online platforms (DigiVol, Les Herbonautes, Notes from Nature, the Smithsonian Institution's Transcription Center, and Symbiota). Many citizen scientists also contributed off-site. In total, thousands of citizen scientists around the world completed over 50,000 transcription tasks. Here, we present the process of organizing an international citizen-science event, an analysis of the event's effectiveness, and future directions-content now foundational to the growing WeDigBio event.Entities:
Keywords: biodiversity informatics; biodiversity research collections; citizen science; crowdsourcing; natural history collections
Year: 2018 PMID: 29599548 PMCID: PMC5862351 DOI: 10.1093/biosci/bix143
Source DB: PubMed Journal: Bioscience ISSN: 0006-3568 Impact factor: 8.589
Comparison of international biodiversity-related citizen-science projects that have at least some on-site component.
| Event | Short description | Frequency and year established | Geographic range | Number of participants and/or completed tasks | Online or on-site | References |
|---|---|---|---|---|---|---|
| BioBlitzes | Survey all living species within an area over a set amount of time (usually 24 hours). Unlike the other projects featured in this table, BioBlitzes are not managed by a parent organization and any group can organize a “BioBlitz.” | Varied, depending on host; 1996 | Global | Unknown. Numbers vary with each BioBlitz and without a governing body there are no summative data. | On-site |
|
| eBird's Global Big Day | Record the number of bird species seen on 1 day and upload checklists to Cornell Lab of Ornithology's eBird. | Annual; 2015 | Global | 16,679 participants, 6307 species, 145 countries during 2016 event. | Main activities on-site with results shared online |
|
| National Audubon Society's Christmas Bird Count | Census of birds within a 24-km-diameter area completed by groups of at least 10 volunteers | Annual, on 1 day between 14 December and 5 January; 1900 | Western Hemisphere | 72,653 observers, 2106 species from 24 countries during 2015 event | On-site |
|
| National Geographic's Great Nature Project | Document biodiversity around you by uploading photos of plants and animals to the project website. | Two events (2013 and 2015); 2013 (no longer active). | Global. 102 countries during 2015 event. | 40,396 observations of 8000 species, from over 3000 users, from 102 countries during the second and final 2015 event | Main activities on-site with results shared online at iNaturalist |
|
| WeDigBio | Transcribe biocollections information using online platforms | Annual; 2015 | Global | 51,822 transcription tasks from users in over 100 countries during 2015 event | Main activities online with activities available at on-site locations |
|
Note: For the purposes of this research, we have defined “on-site” as “at the physical location of the data source” and generally include field sites outdoors, as well as indoor venues such as museums and universities. Values provided are most current available data.
Figure 1.The WeDigBio logo. This image was used on official WeDigBio documents, as well as for stickers and temporary tattoos that were distributed at on-site events. In 2016, augmented reality features were added such that a praying mantis popped up from the logo when viewed through the Libraries of Life app ().
Figure 2.A screenshot of the dashboard during WeDigBio 2015. The image on the left shows the approximate location of the transcriber, as was determined by IP address. The image on the right shows the tally of transcriptions, by platform, as time elapsed during the event. This screenshot was taken before the end of the event and as such does not reflect the final transcription tallies. Furthermore, the approximate counts and errors in the display of these preliminary results were addressed in later aggregation of the data for analysis in the present research. For example, the number of transcriptions shown for the Smithsonian is completed transcriptions (i.e., those that have been transcribed by one or more of the participants and also reviewed). The comparable SITC data in figure 3 include transcriptions that were still in process.
Figure 3.The total number of transcription tasks completed on each online platform in the before, during, and after time periods of the event. In the case of SITC, the values include transcriptions that were still in process, such as those that have been transcribed but not yet reviewed.
Figure 4.The summed total of hourly transcription tasks for all platforms before (blue), during (red), and after (green) the event. The transcription counts are based on the respective way each platform calculates tasks (as we described in “Methods”), with the exception of SITC. The transcription rates were not available at the hourly scale through SITC; therefore, the Google Analytics statistic of pages per session was used as a proxy. The pages per session reflects how active a participant was on the website and is therefore the closest approximation available in the absence of hourly transcription data. The heat bar at the top reflects the number of on-site events that were taking place during the event, ranging from one event (yellow) to a maximum of eight events (red). All the submission times have been normalized to UTC. Dates on the x-axis are at midnight on the given date for each period of time: before (the top date on the x-axis label), during (the middle date on the label), and after (the bottom date on the label). The tick marks in between each date therefore represent noon on the given date.
Figure 5.Transcription activity by country for Zooniverse projects (left panel), SITC projects (center panel), and DigiVol (right panel) for before (top row), during (middle row), and after (bottom row). Lower activity is shown in lighter shades and higher activity in darker shades. The numbers to the right of each map indicate the number of countries with participants during each time period for each transcription platform. The numbers in the far right column are the total number of unique countries for each time period.
The number of sessions and average session duration (from Google Analytics) and new registrations for DigiVol, Notes from Nature (*inclusive of all Zooniverse projects), SITC (*inclusive of all SITC projects), and Symbiota.
| Transcription platform | Number of sessions | Average session duration | New registrations | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Before | During | After | Before | During | After | Before | During | After | |
| DigiVol | 806 | 1476 | 534 | 0:21:30 | 0:16:46 | 0:23:16 | 15 | 70 | 11 |
| Notes from Nature* | 199 | 6780 | 2983 | 0:05:55 | 0:05:47 | 0:06:28 | 1435 | 2449 | 1944 |
| SITC* | 796 | 1600 | 1364 | 0:06:58 | 0:14:50 | 0:15:53 | 22 | 61 | 33 |
| Symbiota | 1189 | 1454 | 1220 | n/a | n/a | n/a | 17 | 49 | 8 |
| Total | 2990 | 11,310 | 6101 | 1479 | 2629 | 1996 |
Note: Full descriptions of the metrics used can be found in the “Evaluation” section.
The results of an event participant survey showing their ratings of how important various activities were to their enjoyment of the event.
| Very unimportant (1) | Unimportant (2) | Neither important nor unimportant (3) | Important (4) | Very important (5) | Total number of participants offered this activity | Average response | |
|---|---|---|---|---|---|---|---|
| Lecture | 2 (1.9%) | 0 (0%) | 10 (9.4%) | 42 (39.6%) | 52 (49.1%) | 106 | 4.35 |
| Collection tour | 7 (7.9%) | 0 (0%) | 8 (9.0%) | 22 (24.7%) | 52 (58.4%) | 89 | 4.26 |
| GeoLocator or timeline games | 4 (5.8%) | 0 (0%) | 18 (26.1%) | 32 (46.4%) | 15 (21.75%) | 69 | 3.78 |
| Bingo game | 6 (6.5%) | 6 (6.5%) | 35 (38%) | 30 (32.6%) | 15 (16.3%) | 92 | 3.46 |
| Take-home item | 8 (7.4%) | 9 (8.3%) | 35 (32.4%) | 32 (29.6%) | 24 (22.2%) | 108 | 3.51 |
The results of the event participant survey showing the degree to which participants valued the on-site event (the “blitz”), as well as volunteering and biodiversity collections more broadly.
| Strongly disagree (1) | Disagree (2) | Neither agree nor disagree (3) | Agree (4) | Strongly agree (5) | Total number of respondents | Average response | |
|---|---|---|---|---|---|---|---|
| The blitz was worth my time. | 2 (1%) | 2 (1%) | 6 (4%) | 56 (41%) | 70 (51%) | 136 | 4.40 |
| Time was appropriately distributed among different blitz activities. | 2 (1%) | 2 (1%) | 26 (19%) | 70 (51%) | 37 (27%) | 137 | 4.01 |
| Biodiversity research collections merit public funding. | 2 (1%) | 0 (0%) | 11 (8%) | 45 (33%) | 80 (58%) | 138 | 4.46 |
| How likely is it that you would participate in a transcription blitz in the future if given the chance? | 2 (1%) | 1 (1%) | 14 (10%) | 50 (36%) | 71 (51%) | 138 | 4.36 |
| How likely is it that you would volunteer to transcribe specimen labels on a regular basis? | 5 (4%) | 12 (9%) | 34 (25%) | 51 (37%) | 35 (26%) | 137 | 3.72 |
| How likely is it that you would volunteer to work in biodiversity collections to perform other tasks if given the opportunity? | 3 (4%) | 6 (4%) | 21 (15%) | 51 (38%) | 55 (40%) | 136 | 4.10 |
Note: The values shown represent the number (and percentage) of people who rated each statement.