update paper to submit to patterns

paper.Rmd

@@ -524,6 +524,22 @@ The key message for the reader is that accessing data for reproducibility should
 
 # Acknowledgements
 
-We'd like to thank the following people for helpful discussions and contributions to the paper as we were preparing it for publication: Miles McBain, Anna Krystalli, Daniella Lowenberg. We'd also like to thanks the ACEMS International Mobility Programme, the Helmsley Charitable Trust, the Gordon and Betty Moore Foundation, and the Sloan Foundation.
+We'd like to thank the following people for helpful discussions and contributions to the paper as we were preparing it for publication: Anna Krystalli, Daniella Lowenberg, and Miles McBain. We'd also like to thank those who provided feedback on the paper when it went up for presubmission: Adrian Barnett, Raymond B Huey Christian Thurn, , Christina Maimone, and github user, 'dschief001'. Finally, we thank the following organisations for their support ACEMS International Mobility Programme, the Helmsley Charitable Trust, the Gordon and Betty Moore Foundation, and the Sloan Foundation. 
+
+# Bigger Picture Statement {-}
+
+Without data, there is no science. Science needs to be reproducible so we can trust the results, and progress as a field. But without data, we do not have true reproducibility. Currently, the role of data in reproducibility is not adequately discussed. We believe this is in part because discussions around data are centered around both data quality and data sharing. However, these are in fact two separate (but related) topics. We provide immediately usable guidelines to sharing data alongside your research, with minimal barriers, that a researcher could pick up and use today.
+
+In the future, we hope that the culture around data sharing will change, and sharing data will be rewarded in science. We want the new normal to be an expectation of data to be submitted with every research publication, and for these datasets to be easily discovered, shared, and extended in other analysis.
+
+# Bio {-}
+
+**Nicholas Tierney**
+
+Nicholas Tierney has an honours degree in Psychological Science, and a PhD in Statistics. He is a Lecturer at Monash University, teaching introduction to data analysis and researching how to improve data analysis workflow. This ranges from exploratory data analysis, to statistical modelling, calculating diagnostics, and how we draw inferences, and make decisions from data. Crucial to this work is producing high quality software to accompany each research idea. Nick is a keen outdoorsman, and loves hiking, trail running, rock climbing, photography, and making coffee.
+
+**Karthik Ram**
+
+Karthik is a senior data scientist at the Berkeley Institute of Data Science and a co-founder of the rOpenSci project. Karthik is also a senior PI at the Berkeley Initiative for Global Change Biology. Prior to joining Berkeley, he earned his PhD in Ecology & Evolution from the University of California, Davis. Karthik's interests are focused on reproducible research, especially as it applies to global change. Much of his recent work focuses on building tools and services around open data and growing diverse data science communities.
 
 # Literature Cited {-}

paper.tex

@@ -70,7 +70,6 @@
 \setcounter{secnumdepth}{5}
 %% Any special functions or other packages can be loaded here.
 
-
 %% FIGURE FLOATING taken from
 %% https://stackoverflow.com/questions/16626462/figure-position-in-markdown-when-converting-to-pdf-with-knitr-and-pandoc
 \usepackage{float}
@@ -666,7 +665,27 @@ \section{Conclusions}\label{conclusions}}
 \hypertarget{acknowledgements}{%
 \section{Acknowledgements}\label{acknowledgements}}
 
-We'd like to thank the following people for helpful discussions and contributions to the paper as we were preparing it for publication: Miles McBain, Anna Krystalli, Daniella Lowenberg. We'd also like to thanks the ACEMS International Mobility Programme, the Helmsley Charitable Trust, the Gordon and Betty Moore Foundation, and the Sloan Foundation.
+We'd like to thank the following people for helpful discussions and contributions to the paper as we were preparing it for publication: Anna Krystalli, Daniella Lowenberg, and Miles McBain. We'd also like to thank those who provided feedback on the paper when it went up for presubmission: Adrian Barnett, Raymond B Huey Christian Thurn, , Christina Maimone, and github user, `dschief001'. Finally, we thank the following organisations for their support ACEMS International Mobility Programme, the Helmsley Charitable Trust, the Gordon and Betty Moore Foundation, and the Sloan Foundation.
+
+\hypertarget{bigger-picture-statement}{%
+\section*{Bigger Picture Statement}\label{bigger-picture-statement}}
+\addcontentsline{toc}{section}{Bigger Picture Statement}
+
+Without data, there is no science. Science needs to be reproducible so we can trust the results, and progress as a field. But without data, we do not have true reproducibility. Currently, the role of data in reproducibility is not adequately discussed. We believe this is in part because discussions around data are centered around both data quality and data sharing. However, these are in fact two separate (but related) topics. We provide immediately usable guidelines to sharing data alongside your research, with minimal barriers, that a researcher could pick up and use today.
+
+In the future, we hope that the culture around data sharing will change, and sharing data will be rewarded in science. We want the new normal to be an expectation of data to be submitted with every research publication, and for these datasets to be easily discovered, shared, and extended in other analysis.
+
+\hypertarget{bio}{%
+\section*{Bio}\label{bio}}
+\addcontentsline{toc}{section}{Bio}
+
+\textbf{Nicholas Tierney}
+
+Nicholas Tierney has an honours degree in Psychological Science, and a PhD in Statistics. He is a Lecturer at Monash University, teaching introduction to data analysis and researching how to improve data analysis workflow. This ranges from exploratory data analysis, to statistical modelling, calculating diagnostics, and how we draw inferences, and make decisions from data. Crucial to this work is producing high quality software to accompany each research idea. Nick is a keen outdoorsman, and loves hiking, trail running, rock climbing, photography, and making coffee.
+
+\textbf{Karthik Ram}
+
+Karthik is a senior data scientist at the Berkeley Institute of Data Science and a co-founder of the rOpenSci project. Karthik is also a senior PI at the Berkeley Initiative for Global Change Biology. Prior to joining Berkeley, he earned his PhD in Ecology \& Evolution from the University of California, Davis. Karthik's interests are focused on reproducible research, especially as it applies to global change. Much of his recent work focuses on building tools and services around open data and growing diverse data science communities.
 
 \hypertarget{literature-cited}{%
 \section*{Literature Cited}\label{literature-cited}}

preamble.tex

@@ -1,6 +1,5 @@
 %% Any special functions or other packages can be loaded here.
 
-
 %% FIGURE FLOATING taken from
 %% https://stackoverflow.com/questions/16626462/figure-position-in-markdown-when-converting-to-pdf-with-knitr-and-pandoc
 \usepackage{float}