Reading path: Marine learning and careers →

Questions to keep separate

Question or featureExplanationWhat it does not establish
Zooniverse classificationLearn a project’s workflow, submit classifications, and use Talk for discussion. [1]The task and current availability are project-specific.
Penguin WatchCounts adults, chicks and eggs in imagery for questions including breeding timing. [2]An image classification is not a personal field sighting or a population conclusion by itself.
iNaturalist verifiabilityAccurate date/location, organism media and wild status support a record; community review informs grades. [5]Research Grade does not guarantee expert certainty for every record.
GeoprivacyObserver and taxon controls can make coordinates open, obscured or private. [6]Coordinates are affected; the observation itself remains public.

Choose a task with a clear observation

Citizen science tasks differ in what a volunteer actually contributes. On Zooniverse, participants select a project, learn its classification process, and submit classifications for researchers to download and use. Project Talk spaces can support discussion with the research community. Before beginning, read the project’s own instructions: the useful observation may be a count, a visible feature or a location in an image, not an open-ended species guess. [1]

Penguin Watch describes volunteers counting adults, chicks and eggs in remote imagery to study population change, survival and breeding timing. Counting these categories consistently creates observations that can be compared across images. It does not mean one volunteer image establishes a population trend; researchers need the project’s broader data and analysis. Current workflows can change, so check the project page before setting aside time. [2]

Images reveal different kinds of evidence

Floating Forests uses satellite imagery to locate giant-kelp canopy and investigate kelp-forest history. The observation is canopy visible in an image, not a direct count of every kelp plant or a complete measure of the underwater forest. Satellite views and remote animal images therefore support different questions: one tracks visible surface patterns, while the other can record animals and life stages in specific frames. [3]

Invader ID offers a useful archived example of a different workflow: volunteers identified photographed organisms on dock tiles to describe fouling communities. Its project page says it is finished and out of data, so it should not be presented as an active task. This status illustrates why checking a project banner matters; a familiar project name does not guarantee new classifications are being accepted. [4]

Record your own shoreline observation carefully

For a field observation, iNaturalist’s official guidance describes a verifiable record as one with accurate date and location, photo or sound evidence, and a wild organism. Community identification and data-quality review contribute to its grades. These criteria make a record more useful to other observers, but “Research Grade” is a platform status, not a guarantee that every identification is expert-certain. Keep an uncertain identification broad and let evidence and community review refine it. [5]

A practical hypothetical example: suppose you photograph an unfamiliar organism growing on a rock during a shoreline walk. Record the actual observation date and location, include a clear image, and identify it only as specifically as the evidence permits. Do not convert a picture viewed on a project website into a personal field sighting; image classification and personal observation are distinct data sources. [5]

Protect sensitive coordinates and check availability

Before sharing a field record, review geoprivacy. iNaturalist distinguishes observer geoprivacy from taxon geoprivacy and offers open, obscured or private location sharing. These settings affect coordinates; the observation itself remains public. That distinction matters when an exact site could expose a sensitive organism or location. Select a setting deliberately and understand what it hides before submitting. [6]

A useful selection routine is to check the current workflow banner, follow the project’s classification tutorial, and decide what evidence the task expects. At home, Penguin Watch’s counts or a currently available kelp-image workflow may fit; at a shoreline, an original, well-documented observation may fit iNaturalist. Project availability changes, and direct workflow details may be limited; do not assume a project remains open merely because its page is visible. [2] [3] [4]

Sources & further reading

  1. About Zooniverse ↗
  2. Penguin Watch ↗
  3. Floating Forests - About ↗
  4. Research - Invader ID ↗
  5. What is the Data Quality Assessment (DQA) and how do observations qualify to become Research Grade? ↗
  6. What is geoprivacy? What does it mean for an observation to be obscured? ↗