Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Ethics in Research01:56

Ethics in Research

23.0K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.0K
Synthetic Biology02:55

Synthetic Biology

4.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.8K
What is an Ecosystem?01:17

What is an Ecosystem?

39.7K
Overview
39.7K
The Scientific Method03:50

The Scientific Method

49.8K
Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion. 
49.8K
Data Collection by Experiments01:13

Data Collection by Experiments

24.3K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
24.3K
Data Collection by Observations01:08

Data Collection by Observations

12.1K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Rigor and Transparency in Two Neurotrauma-Publishing Journals: Editorial Policies Improve Transparent Reporting.

Journal of neurotrauma·2026
Same author

The Brazilian Reproducibility Network.

Anais da Academia Brasileira de Ciencias·2026
Same author

A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.

bioRxiv : the preprint server for biology·2026
Same author

Reporting quality of quantitative polymerase chain reaction (qPCR) methods in scientific publications.

Research integrity and peer review·2026
Same author

Australian General Practitioners' perspectives, experiences and use of non-drug interventions in primary care: a qualitative study.

Family medicine and community health·2026
Same author

Managing micronutrients in metabolic and bariatric surgery: A mixed methods study of Australian dietitians' practice and perspectives.

Nutrition & dietetics : the journal of the Dietitians Association of Australia·2025

相关实验视频

Updated: Jul 12, 2025

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K

开放科学2.0:迈向真正的协作研究生态系统

Robert T Thibault1, Olavo B Amaral2, Felipe Argolo3

  • 11 Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, Unites States of America.

PLoS biology
|October 19, 2023
PubMed
概括
此摘要是机器生成的。

开放科学实践,如数据共享,需要更广泛的采用. 从一开始就建立一个透明的研究生态系统,可以提高严谨性和协作,从而提高科学成果.

更多相关视频

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

相关实验视频

Last Updated: Jul 12, 2025

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.3K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K

科学领域:

  • 开放科学是一个开放的科学.
  • 研究诚信研究诚信
  • 科学合作科学合作

背景情况:

  • 尽管有主流讨论,但开放科学实践,包括数据共享,尚未普及.
  • 目前的努力需要扩大规模,以实现更加雄心勃勃的开放愿景.

研究的目的:

  • 提供过去二十年开放科学倡议的概述.
  • 探索开放科学的未来轨迹.
  • 为促进开放科学环境提供建议.

主要方法:

  • 审查开放科学倡议,重点关注方法透明度,学术交流,团队科学和研究文化.
  • 分析开放科学中的趋势和未来可能性.

主要成果:

  • 确定关键的开放科学倡议及其影响.
  • 关于开放科学实践的未来景观的猜测.

结论:

  • 一个开放的科学生态系统需要整个研究过程的透明度,而不仅仅是输出.
  • 包括资助者,机构和期刊在内的利益相关者必须合作,为开放科学创造一个有利的环境.