共 10 条
Meta-research: Evaluation and Improvement of Research Methods and Practices
被引:220
作者:

Ioannidis, John P. A.
论文数: 0 引用数: 0
h-index: 0
机构:
Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA

Fanelli, Daniele
论文数: 0 引用数: 0
h-index: 0
机构:
Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA

Dunne, Debbie Drake
论文数: 0 引用数: 0
h-index: 0
机构:
Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA

Goodman, Steven N.
论文数: 0 引用数: 0
h-index: 0
机构:
Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA
机构:
[1] Stanford Univ, Meta Res Innovat Ctr Stanford METRICS, Stanford, CA 94305 USA
关键词:
BIOMEDICAL-RESEARCH;
REPRODUCIBILITY;
D O I:
10.1371/journal.pbio.1002264
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
As the scientific enterprise has grown in size and diversity, we need empirical evidence on the research process to test and apply interventions that make it more efficient and its results more reliable. Meta-research is an evolving scientific discipline that aims to evaluate and improve research practices. It includes thematic areas of methods, reporting, reproducibility, evaluation, and incentives (how to do, report, verify, correct, and reward science). Much work is already done in this growing field, but efforts to-date are fragmented. We provide a map of ongoing efforts and discuss plans for connecting the multiple meta-research efforts across science worldwide.
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页码:1 / 7
页数:7
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