How research works
You don't need a degree to contribute to science, but knowing how research is planned, checked and published makes your contribution count for more.
What is citizen science?
Citizen science is research done with the help of members of the public. Volunteers collect observations, classify images, run computations, design experiments or ask the questions themselves. The results feed real studies, datasets and published papers.
It is older than the term. Amateurs kept weather records, counted birds and discovered comets long before "citizen science" entered the Oxford English Dictionary in 2014. The internet made it possible for millions of people to join in at once.
Contributory
Scientists design the project; volunteers mainly collect or process data. Galaxy Zoo and eBird work this way.
Collaborative
Volunteers also help refine the design, analyse data or spread results. Many forum-driven discoveries fall here.
Co-created
Scientists and the public work together at every stage, from choosing the question to publishing. Common in community health and environmental monitoring.
Good practice. The European Citizen Science Association's Ten Principles of Citizen Science set out what volunteers should be able to expect: a real scientific outcome, feedback on how their data are used, acknowledgement in results, open data where possible, and respect for privacy.
The scientific method in practice
Real research loops back on itself more than textbook diagrams suggest, but the core stages hold.
Observe and ask
Notice something unexplained. "Why is this galaxy green?" is a valid start.
Form a hypothesis
Propose an explanation that makes a testable prediction.
Collect data
Follow a fixed protocol so results can be compared and repeated.
Analyse
Use statistics to separate real patterns from noise and bias.
Share and check
Publish methods and data so others can test, replicate or refute the result.
Anatomy of a research paper
Most papers follow the IMRaD structure. Knowing what each part answers lets you read efficiently.
A 150–300 word summary. Read this first to decide whether to keep going.
The question, what's already known, and the gap this work fills.
Enough detail for someone else to repeat it. Look here for sample sizes.
Data, figures and statistics, ideally without interpretation.
Interpretation, limitations and open questions. Often ends with future work.
Reading order that works: abstract, then figures and their captions, then the discussion, then methods if you need the details. Keep a list of unfamiliar terms and look them up afterwards.
Peer review, preprints and open access
Peer review
Before a journal publishes a paper, an editor sends it to independent experts. They check the methods, logic and claims, and the authors revise. Review catches many problems but not all, so a published paper is a strong claim, not a final truth.
Preprints
A preprint is a paper shared publicly before peer review, on servers such as arXiv (physics, maths, CS, astronomy) or bioRxiv (biology). They spread results quickly; read them with extra care.
Open access
Open-access papers are free to read. If a paper is paywalled, check the authors' websites, the preprint server, or the Unpaywall browser extension for a legal free copy.
DOIs and ORCID
A DOI is a permanent link to a paper or dataset. An ORCID iD is a free, permanent identifier for you as a researcher, useful if your name appears on papers or data credits.
Where citizen science gets published
Some journals study citizen science itself; others regularly publish work by amateurs and volunteers.
| Journal or venue | Field | Why it's useful |
|---|---|---|
| Citizen Science: Theory and Practice | Cross-disciplinary | Open-access journal about designing and running citizen science, from the Association for Advancing Participatory Sciences. |
| Journal of Science Communication (JCOM) | Cross-disciplinary | Open access; frequent studies of public participation in science. |
| Research Notes of the AAS | Astronomy | Short, quickly published notes. A good venue for a single observation or result. |
| Journal of the AAVSO | Astronomy | Peer-reviewed variable-star research; amateurs are regular authors. |
| Biodiversity Data Journal | Biology | Open access; publishes data papers and species records, including from community surveys. |
| Journal of Integer Sequences | Mathematics | Free online journal closely linked to the OEIS; welcomes careful work on sequences. |
| Journal of Open Source Software | AI & software | Short papers that give citable credit for research software, reviewed openly on GitHub. |
| PLOS ONE | All sciences | Large open-access journal that judges soundness rather than novelty; many citizen science studies appear here. |
| Zenodo | All sciences | Free open repository run by CERN, not a peer-reviewed journal. Upload datasets, software, reports or preprints and each gets a citable DOI. |
Finding research
Astronomy & maths
Biology & AI
Glossary
- Protocol
- The fixed set of steps for collecting data. Following it exactly is what lets thousands of people's data be combined.
- Classification
- Labelling an image, sound or record. Projects usually show each item to several volunteers and combine their answers.
- Research grade
- iNaturalist's label for an observation with a photo, date, location and a community-agreed identification. These records are shared with GBIF.
- Volunteer computing
- Donating spare processing power through software such as BOINC, which runs scientific calculations in the background.
- Transit
- A planet passing in front of its star, causing a small, regular dip in brightness.
- Formalisation
- Writing a proof in a language a computer can check, such as Lean or Coq.
- Training data
- Labelled examples a machine-learning model learns from. Its quality and diversity shape what the model can do.
- Replication
- Repeating a study to see whether the result holds. A finding that replicates is far more trustworthy.