{"doi":"10.31222/osf.io/krb58","title":"Calibrating the scientific ecosystem through meta-research","abstract":"<p>Whilst some scientists study insects, molecules, brains, or clouds, other scientists study science itself. Meta-research, or “research-on-research”, is a burgeoning discipline that investigates efficiency, quality, and bias in the scientific ecosystem, topics that have become especially relevant amid widespread concerns about the credibility of the scientific literature. Meta-research may help calibrate the scientific ecosystem towards higher standards by providing empirical evidence that informs the iterative generation and refinement of reform initiatives. We introduce a translational framework that involves (1) identifying problems; (2) investigating problems; (3) developing solutions; and (4) evaluating solutions. In each of these areas, we review key meta-research endeavors and discuss several examples of prior and ongoing work. The scientific ecosystem is perpetually evolving; the discipline of meta-research presents an opportunity to use empirical evidence to guide its development and maximize its potential.</p>","journal":"MetArXiv (OSF Preprints)","year":2019,"id":9927,"datarank":0.8221150437007679,"base_score":2.639057329615259,"endowment":2.639057329615259,"self_citation_contribution":0.3958585994422889,"citation_network_contribution":0.42625644425847903,"self_endowment_contribution":0.3958585994422889,"citer_contribution":0.42625644425847903,"corpus_percentile":null,"corpus_rank":null,"citation_count":13,"citer_count":8,"citers_with_citation_signal":6,"citers_with_endowment":6,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0488,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2019-06-13","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1621,"name":"Stylianos Serghiou","orcid":"0000-0002-2477-6060","position":1,"is_corresponding":false},{"id":3831,"name":"Perrine Janiaud","orcid":"0000-0001-7684-8014","position":2,"is_corresponding":false},{"id":20384,"name":"Valentin Danchev","orcid":"0000-0002-7563-0168","position":3,"is_corresponding":false},{"id":11433,"name":"Sophia Crüwell","orcid":"0000-0003-4178-5820","position":4,"is_corresponding":false},{"id":3919,"name":"Steven N. Goodman","orcid":"0000-0002-3872-5723","position":5,"is_corresponding":false},{"id":148,"name":"John P. A. Ioannidis","orcid":"0000-0003-3118-6859","position":6,"is_corresponding":false},{"id":875,"name":"Tom Elis Hardwicke","orcid":"0000-0001-9485-4952","position":0,"is_corresponding":true}],"reference_count":178,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}