Computational Reproducibility in The Wildlife Society's Flagship Journals

Irreproducible text-book “knowledge”: The effects of color bands on zebra finch fitness

(2018) Daiping Wang et al.   EVOLUTION

A reminder of the value of public and shared data

(2018) Paul R. Krausman   JOURNAL OF WILDLIFE MANAGEMENT

Ten simple rules for biologists learning to program

(2018) Maureen A. Carey et al.   PLoS Computational Biology

Wildlife biology, big data, and reproducible research

(2018) Keith P. Lewis et al.   WILDLIFE SOCIETY BULLETIN

The truth squad

(2018) Erik Stokstad   SCIENCE

Reproducible and reusable research: are journal data sharing policies meeting the mark?

(2017) Nicole A. Vasilevsky et al.   PeerJ

A primer for writing for theJournal of Wildlife Management

(2016) Paul R. Krausman et al.   JOURNAL OF WILDLIFE MANAGEMENT

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

Evaluating replicability of laboratory experiments in economics

(2016) C. F. Camerer et al.   SCIENCE

Estimating the reproducibility of psychological science

(2015)   SCIENCE

Are management implications for theJournalceremonial?

(2014)   JOURNAL OF WILDLIFE MANAGEMENT

Data sharing and reuse: What are the issues?

(2014)   JOURNAL OF WILDLIFE MANAGEMENT

Recommendations for the Role of Publishers in Access to Data

(2014) Jennifer Lin et al.   PLOS BIOLOGY

Ten Simple Rules for Reproducible Computational Research

(2013) Geir Kjetil Sandve et al.   PLoS Computational Biology

Data reuse and the open data citation advantage

(2013) Heather A. Piwowar et al.   PeerJ

Code Sharing Is Associated with Research Impact in Image Processing

(2012) Patrick Vandewalle   COMPUTING IN SCIENCE & ENGINEERING

Recommendations for utilizing and reporting population genetic analyses: the reproducibility of genetic clustering using the programstructure

(2012) Kimberly J. Gilbert et al.   MOLECULAR ECOLOGY

Raise standards for preclinical cancer research

(2012) C. Glenn Begley et al.   NATURE

Ecoinformatics: supporting ecology as a data-intensive science

(2012) William K. Michener et al.   TRENDS IN ECOLOGY & EVOLUTION

Ecoinformatics and global change - an overdue liaison

(2011) Jürgen Dengler et al.   JOURNAL OF VEGETATION SCIENCE

Data Sharing by Scientists: Practices and Perceptions

(2011) Carol Tenopir et al.   PLoS One

Public Availability of Published Research Data in High-Impact Journals

(2011) Alawi A. Alsheikh-Ali et al.   PLoS One

Data archiving in ecology and evolution: best practices

(2010) Michael C. Whitlock   TRENDS IN ECOLOGY & EVOLUTION

Data sharing: Empty archives

(2009) Bryn Nelson   NATURE