Approachable Case Studies Support Learning and Reproducibility in Data Science: An Example from Evolutionary Biology
Approachable Case Studies Support Learning and Reproducibility in Data Science: An Example from Evolutionary Biology
复制标题
平易近人的案例研究支持数据科学的学习和可重复性:进化生物学的一个例子
DOI:
10.1080/26939169.2022.2099487
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发表时间:
2022
影响因子:
1.7
通讯作者:
McTavish, Emily Jane
中科院分区:
文献类型:
--
作者:
Sanchez Reyes, Luna L.;McTavish, Emily Jane
Research reproducibility is essential for scientific development. Yet, rates of reproducibility are low. As increasingly more research relies on computers and software, efforts for improving reproducibility rates have focused on making research products digitally available, such as publishing analysis workflows as computer code, and raw and processed data in computer readable form. However, research products that are digitally available are not necessarily friendly for learners and interested parties with little to no experience in the field. This renders research products unapproachable, counteracts their availability, and hinders scientific reproducibility. To improve both short- and long-term adoption of reproducible scientific practices, research products need to be made approachable for learners, the researchers of the future. Using a case study within evolutionary biology, we identify aspects of research workflows that make them unapproachable to the general audience: use of highly specialized language; unclear goals and high cognitive load; and lack of trouble-shooting examples. We propose principles to improve the unapproachable aspects of research workflows and illustrate their application using an online teaching resource. We elaborate on the general application of these principles for documenting research products and teaching materials, to provide present learners and future researchers with tools for successful scientific reproducibility. Supplementary materials for this article are available online.
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影响因子:
1.3
作者:
Jonathan A. Rees;K. Cranston
通讯作者:
K. Cranston
DOI:
--
发表时间:
--
期刊:
影响因子:
--
作者:
Marie;A. Chèvre
通讯作者:
A. Chèvre
DOI:
10.1093/bioinformatics/btv276
发表时间:
2015-09-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
McTavish EJ;Hinchliff CE;Allman JF;Brown JW;Cranston KA;Holder MT;Rees JA;Smith SA
通讯作者:
Smith SA
DOI:
10.1145/3430665.3456382
发表时间:
2021
期刊:
26th ACM Conference on Innovation and Technology in Computer Science Education
影响因子:
--
作者:
Selvaraj, Ana;Zhang, Eda;Porter, Leo;Soosai Raj, Adalbert Gerald
通讯作者:
Soosai Raj, Adalbert Gerald
影响因子:
--
作者:
Wright, April M.;Schwartz, Rachel S.;Oaks, Jamie R.;Newman, Catherine E.;Flanagan, Sarah P.
通讯作者:
Flanagan, Sarah P.