class: center, middle, inverse, title-slide # Pesquisa reproduzível ## Fundamentos e ferramentas ### Fernando Mayer (LEG/DEST/UFPR) ### 2020-06-04 --- # Slides .msmall[ - HTML: http://leg.ufpr.br/~fernandomayer/palestra/estatidados <!-- - PDF: http://leg.ufpr.br/~fernandomayer/pesqrep-eco/pesqrep-eco.pdf --> - Código-fonte: https://github.com/fernandomayer/estatidados-live ] <img 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width="50%" style="display: block; margin: auto;" /> --- # Introdução **Evolução da tecnologia** - Coleta, processamento e análise com grandes bases de dados - Rotinas de análise cada vez mais sofisticadas e complexas **Como garantir que tudo isso é confiável?** - As análises que usamos atualmente são complexas: difícil descrever todos os **detalhes em palavras** - Entender o que alguém fez em uma análise de dados atualmente, requer olhar para o **código** --- # Um estudo de caso ## *The Duke trial saga* Anil Potti *et al*: A Genomic Strategy to Refine Prognosis in Early-Stage Non–Small-Cell Lung Cancer. *The New England Journal of Medicine*. 2006. - Prever a evolução do câncer de pulmão de um paciente usando matrizes de expressão Anil Potti *et al*: Genomic signatures to guide the use of chemotherapeutics. *Nature Medicine*. 2006. - Utilização de "linhas de células", para prever a quimioterapia mais eficaz para pacientes que sofrem de câncer de pulmão, mama ou de ovário --- # Um estudo de caso ## *The Duke trial saga* - O grupo de Duke iniciou **três ensaios clínicos** baseados nos trabalhos publicados - Bioestatísticos do **MD Anderson Cancer Centre** tentaram reproduzir os resultados, para usar a nova técnica - Foram encontradas diversas falhas como linhas de células com nomes errados e nomes e números de células inconsistentes - Depois disso, uma série de investigações foram realizadas, levando a cessar os ensaios clínicos já iniciados - Dr. Potti pediu demissão, e depois foi descoberto que ele tinha envolvimento com empresas da área biomédica. .small[ Referências - [An array of errors](https://www.economist.com/node/21528593). The Economist, 2011. - [How Bright Promise in Cancer Testing Fell Apart](https://www.nytimes.com/2011/07/08/health/research/08genes.html). The New York Times, 2011. ] --- class: center, middle, inverse # Como a ciência funciona --- # Como a ciência funciona > *A Ciência é um processo de aprendizado da natureza, onde ideias > concorrentes sobre como funciona o mundo são medidas contra > observações.* > Richard Feynman, 1965 - Descrições: incompletas - Observações: incertas e imprecisas - Métodos para avaliar a concordância entre as ideias e as observações = **Estatística** --- # Como a ciência funciona ## Árvore de aprendizado (Platt, 1964) 1. Conceber **hipóteses alternativas**. 2. Conceber um **experimento crucial** (ou vários deles) 3. Realizar o experimento de forma a obter **resultados mais confiáveis possíveis** 4. **Reciclar o procedimento** - Criar sub-hipóteses ou hipóteses sequenciais para refinar as possibilidades que restam --- # Como a ciência funciona - Esta visão de Platt é naturalmente uma extensão lógica do trabalho de **Popper** > *Uma hipótese **não pode ser provada**, apenas **desprovada** * - A essência do método Popperiano é **"desafiar"** uma hipótese repetidamente. - Se a hipótese permanece válida então ela **não é validada**, mas adquire um certo **"grau de confiança"** - Coincidindo com esta filosofia de Popper está o trabalho estatístico de **Ronald Fisher**, **Karl Pearson**, **Jerzy Neyman** e outros, que desenvolveram grande parte da teoria estatística atual --- # Como a ciência funciona ## Aprendizado dedutivo-indutivo - O processo **dedutivo-indutivo** de aprendizado é orientado pelo cérebro humano - É conhecido desde o tempo de Aristóteles e faz parte de nossa **experiência cotidiana** O aprendizado avança conforme ilustrado na figura abaixo (extraída de Box, Hunter e Hunter, 2005): <img src="data:image/png;base64,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" width="70%" style="display: block; margin: auto;" /> --- # Como a ciência funciona ## Análise de dados como arte > *Ciência é conhecimento que entendemos tão bem que podemos ensiná-la > para um computador. Todo o resto é arte.* > Donald Knuth, 1974 O processo de análise de dados por um pesquisador pode ser comparado ao processo de **criação de uma música por um músico**. Os métodos já foram ensinados ao computador, cabe ao analista **saber como juntar as ferramentas** e aplicá-las para responder questões relevantes para a ciência e para as pessoas. --- class: center, middle, inverse # Replicação e reprodução na Ciência --- # Replicação e reprodução na Ciência - A **replicação** é um dos pilares fundamentais da ciência. - É necessário que diversos cientistas coletem e analisem dados de forma **independente**, e cheguem no **mesmo resultado**. - Se muitas pessoas diferentes chegarem à mesma conclusão de forma independente - Tendemos a pensar que o **resultado provavelmente é verdadeiro** (que vai de encontro com a filosofia de Popper) --- # Replicação e reprodução na Ciência **Replicação**: quando o pesquisador é capaz de chegar nos mesmos resultados de um estudo anterior, seguindo os **mesmos métodos**, mas com coleta de **novos dados**. <img 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qNx5syZQogpU6aEhITIQkdHx5iYmBYtWuTk5EyePNnGqm6e2zqwpW7duk2dOnXPnj3yRoUccWCurnd9rO+I33PPPUKIM2fOWK+Mb125/LqexMRE67svmqbJ2+GDBg2qU5MAKGr27Nmenp6lpaUW5xJynYbvv//exnpatGgxbNiwFStWnDhxwtXVtbS0dM+ePbU/pR6De6w7tIKCgrCwsKKiolWrVp08eXLWrFkjRozw8fFp3ry5xZ6ynxT/vtpfe7Wyn8zOzjYajdbNSExMFEL4+vpajwSqqdnh4eFFRUUeHh5yDpGuR48eb7/9thBi586dH374oS213Ty3aWBbfE+2FBgYKIS4du2aXiLvZxcWFla7v1ym22QyWZTriwjqRo8e7ejoWFJSsnLlSotN1ofm1KlTmzVrdvbs2fXr11tsiomJOX36tLOzs/6luQCathYtWsgpzps3b/7pp5/08hdeeEEI8cknn1Q7okW/FGzdd7m5ucmzc72vs70rq4k+9OfSpUsWm1JSUuQ3jD377LPm5fqqGLpevXrJJVPeeusti03W/eSoUaN8fHw0TXv99dctNqWlpX3yySdCiFmzZtnY/lWrVn3zzTdCiI8++qhNmzYWW1955ZXBgwcLIebMmWPdkltKaxITY/RpXdHR0ZcvX87Nzb1w4UJ2dnZWVtb58+fl+gMZGRnp6elygP6KFSuCg4PNl7ApKyuTX6QdEhKiF8pl34UQX3/9taZplZWV7733XklJidwaExMjhHBycsrLy9Ofot+YsZgLISf2tWzZUp+RZTKZVq9eLXe2mIe9aNEiIUSLFi2io6P1wo0bN8rbKgsWLKjHW8S0LuCG7HU41bTSmWQymf70pz8Jq0lcslfx8vJKSEjQCwsKCubMmdOvXz/5Y9euXSMjI81nKicmJsqXO3z4sCypU1dW7bSuiooKuXDkG2+8IUt279599OhRTdMuXLggPxAsXLhQn0abnZ0tT5CEEGfOnNHr0b/acu7cudevX5eF3333nb6am/k87EOHDsmaZ8yYoe/8008/ydQPCgqycb2K06dPy7vmTz/9dE37yHVPhRD33XefPg/tVhJNch72Dcl/b/lddUKI1q1b+/v7Dxo0SM5vdnBw0A9iTdOKi4vldZuWLVs+9NBDcp+9e/fKrcnJybKSrl27RkREPP/8835+fg4ODnKNFIuj3Gg06qsU9ezZc9y4cb6+vs7OzvLv0CKwr1+//swzz8idO3ToMHjwYH3xoLCwsDodLi+99JJcN6Zfv36yhnvuuUeWBAYG1v8dbzSawNGLxqNxBramafpQ8K1bt+qF+fn5/v7+suPq16/fuHHjevfuLSdee3t7a5qm3/Z2cHDo1q3bww8/3KtXL5msI0eO1OupU1dWbWBrmvbQQw/JFwoICOjatasMXblJX8vM19f38ccfHzJkiKOjo35Sbh7Y5eXl+rLQnTt3Dg0NlVNw9dVVLZYmff/99+Wt+jvvvDMwMNDX11dGuL+/v8WiszWpqKgYMGCAEKJTp04FBQW17Ll27VrZhpdeesmWmhvWbR3YRUVFUVFR5mvKGwyGPn36mKe1tHLlSn0NP29v7yVLlpivnjN//nz9+yubN28+duzY77//ftOmTdZHuaZpOTk55gvqBgcHHzt2zHrhFN2WLVvkca//LW3atKmu74w+esLaHXfcUdfaGqEmcPSi8bDX4XTDwNY0TX4zh5eXl/lqjCUlJZGRkW5ubvrftYeHx7Jly/SV0Y4dOxYREWE+mtrFxWXmzJnXrl0zr9z2rqymwE5MTNS/K6Fdu3Yvv/xycnKy3FRQUCDjXOrcufO0adO+++47+aN5YGuaVl5ePmnSJL3X7dGjh/m9AIvA1jTt+PHjAQEBeuVt2rSZP39+eXn5jd90TdM0TZ9jbcuiW/qc7y+++MLG+huKPDINmqYZDAat0cymv8VKSkqMRmNZWVmPHj1qmiGQl5eXnZ3t7e1tfW9Dbj137py7u7unp6cty/OePXu2sLCwW7du5n9jte+fl5fXsWPH2r/a67Z1Ox+9aHCKHk6VlZVpaWnFxcXdu3eXFwItmEymixcv5uTkuLu733XXXXo2m6trV2attLQ0OTnZ09NTvyJoTjagS5cutkxwzc3NNRqN7u7u5icttbh48aLRaHRxcfH19dWHxzcl8si83QMbquPoRQPicELjJI/M23SUOAAAaiGwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAApzs3QAAaEQMBoO9mwBUj8AGgP+laZq9mwDUiEviAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAAn+T+DwWDfdgAAgFoYNE2zdxsAAMANcEkcAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQgJMQwmAw2LsZQP1pmmbvJgDATeck/0eXB0XxcRPAbYJL4gAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAJ3s3AAAaC4PBYO8mANXTNI3ABoD/o2mavZsAWJIfJbkkDgCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgACd7N6BhZGVlxcXF3XC3u+66a/z48begPbY7fvz4rl27WrduPWvWLHu3BYB9LF682GQyWRS6uLh07tz5wQcf7Natm11aVa3ExMT4+Hg3N7eXX375lr1oYWHh6tWrhRAzZsxo165dA9acmZkZExMjhOjSpcuUKVNq2XP//v1HjhwRQkycONHHx6cB21AHmqbJ/yrtq6++suWXDQkJsXdLLX388cdCCE9Pz5v3EleuXHnnnXeefPLJBx54YOzYsatWrSosLLx5L3eLNYGjF42HvQ4nJ6fazp2GDx9+/PhxuzTM2vLly4UQPXv2vJUvevbsWflWnD17tmFrNplMo0ePlpXHxcXVtJvRaGzdurUQIigoqKqqqmHbYAt5ZDaRM2zdo48+2qNHD/nYZDKVl5ebb9U33T6++eabp556Kjc3Vy/ZuXPnkiVLNm3aNGLECDs2DICFv/71r9OmTZOPKysrMzMzU1JSdu7ceeDAAX9//0WLFkVGRtq3hU2PwWD49NNP+/btm5ub+/zzzwcGBnbq1Ml6t4iIiN9//93FxSUmJsbBwX63krUmcY6in2HHxsbauy11c1PPsI1Go6urq6Oj49y5c/fv3//f//3fkZGRLVu2FEI4OzsnJyffjBe9xZrA0YvGw16HkzzDfvXVV603VVRULF26VPZv27dvv/Vts9DEzrClAwcOGAwGIURoaKj11qioKPnq//rXv27Gq9tCHpkMOqtNWVmZ0WjMysqyd0Pqad68eQUFBbGxse++++6IESMeeeSRxYsXHz16tEOHDhUVFTNmzLB3AwHcgJOT07x588LDw4UQERERpaWl9m5R9YxGo9ForKiosHdD6iMkJGTu3LlCiN27d69bt858U2Zm5quvviqEGD16dO03uW8BArs23377rZeXl5+fn70bUh/5+flxcXGhoaHjxo0zL+/du/ebb74phDh48OAvv/xin8YBqIuIiAghxNWrVw8fPmzvtlTj+vXrXl5eXl5eqamp9m5LPS1evPj+++8XQsyePTs9PV0Wapr23HPPFRcXu7q6yquh9kVgN1lVVVVt27Z9/vnnrTeFhYXJBydPnry1jQJQH+7u7vJBQUGBfVvSVDk7O2/ZsqVVq1bFxcXPPPNMVVWVEOLDDz88dOiQEGLt2rWdO3e2dxsJ7KarU6dOmzdvDgkJsd7Upk0bObDizJkzt7xdAOpMTigSQvTt29e+LWnCvL295e3qhISEZcuWpaenz5s3TwgRFhY2YcIEe7dOiCYzD7t+cnJyNm3alJKScvXqVVdX1/79+48fP15+kj18+PClS5eOHz8uhLh+/frnn38un+Lo6KhfYU5NTU1KSmrevHloaKh5tenp6SdOnGjWrNmjjz5q8YpZWVnbtm0rKCjo27fvwIEDu3fvXkvzqqqq9uzZEx8fn5ub27Fjx5CQkDFjxtQ+/cNCtWkthCgvL//tt9+EEA07oxHAzXD16tX58+cLIe6///5evXpZbM3Kytq4cWNSUpKTk1NgYGBYWJicgKQzmUz79u3bv3//hQsXmjdv3qVLlz//+c+DBg3SRzvXoyvTpaSknDp1Sp+PEx8fr58GDB061LyHOX78+O7du8+fP19SUtK3b98xY8ZY/y5SUVHR9u3bU1JSfHx8/Pz8+vfvX/v7c/To0R07dqSnp7u4uAQEBDz55JNt27at/Sk1mThxYnx8fExMzMKFCz/77LOSkhJPT89//vOf9aut4WlNYpytPkp83bp1uTW4dOmS+VM2bdrk6Oho8W44ODhs3rxZ07RHHnmk2rfLxcVFr0GOlnR3d7dojPzXdXNzsyjfu3evHKGtmzBhgpynYT1K/NSpU9YfpQMDAzMzM//42/Xzzz/LCr/55ps/Xpt9NYGjF3YxY8aMzZs3FxcXmxfa63CqaZR4eXl5XFzc3XffLYTo0KFDRkaGxQ5xcXEW8ezp6Xns2DF9h6tXr8pbsxZ69Oih71OnrsxilLg+gt2a3oyMjIwHHnjAYquzs/OSJUus34r09HSLMxk/P7/o6Gj52GKU+JUrV6zXwvLw8PgjPVtRUZG+LorBYIiPj693VQ1INMl52LWM4nNzc8vLy5OPk5OTw8PDNU2bP3/+qFGjHB0dU1NTT5w4sWHDBk9PTyHEpEmThgwZ8uuvv27ZsqVly5ZvvPGGfKKzs3P9Gnbw4MGxY8dWVFQ0b9588uTJAwcOzMrK2rp16/bt2613zsjIGDRoUGFhYb9+/V555RUfH5+0tLQPPvggISGhf//+CQkJ9957b/2aIck1g/r37z948OA/Ug+grry8PDmYY9GiRY899lifPn3s3SIRGxt76tQp+biqqiozM/PcuXOVlZVCiG7dum3bts1iybP169c/99xzQoiIiIgJEyZUVlauWrXqwIEDY8aMSUpKat++vRDihRdeOHr0qBxq6u3tnZOTk5KSsnv37oaaTBwcHLx06dKioqIlS5YIIWbOnKnfbvfw8JAPiouLjxw5Ehoa+uSTT957771OTk7bt29/5513Xn/99T59+pifvl++fDkoKEiuGzF27NiRI0dWVlZ++eWX8te0UFFRERIScuzYsQ4dOsybN2/AgAGXL1+OjY3dtm3b0KFDN2zYoA/WqRMXF5eoqKhhw4YJIf7yl78MHz68HpXcLFqTOEfRz4c3vQMAACAASURBVLC9vb0H1GDYsGH6/v/4xz+EEMHBwRb1FBcXl5WV6T9+9tlnorpzZalOH0sHDhwohOjYsWNqaqpeWFRUFBwcLKzOsEeNGiWEeOKJJyoqKvTCioqKiRMnCiEGDx5sMplseVuq9csvvzg6OjZr1uzXX3+tdyWNR01HtVRcXKzc1tp/I1W21v5v1Ai3uru7yzGYmj3Ucqvr7rvvXrlypcWVAE3TfvvtN1dXVyHEmjVr9MLy8nKZNG+99ZYsufPOO4UQhw4dsnh6fn6+/viPnGFL+tJMp06dsv7trly5Yn3KKzO4T58+5oV///vfhRAGg8Fi0bE5c+bI+s3PsOXJfffu3c1/F03TPvjgAyFE+/btL1++bN0YW+hJ37p1a+urGnYhj8ymFtg2LpyyePFiIYS/v3/tyddQgf3111/L5lkvfScrMQ/snTt3CiHatm1rcQ1f07T8/Hz5qVlet6+HgoIC+SE9KiqqfjU0Nk3g6IVdPPXUU/Lvd82aNXrPbt/ADg8PP2Vm5MiRQgg/P79q18J87bXXhBBBQUEW5fv27RNC9O/fX9O0qqoqeVFw165dtbz6zQ7sasmOztHRsbS0VJbIpcSEEDNmzLDY+dixYxaBffHiRXmHcf/+/daVyxOhKVOm2NgYc7GxsfJDg+wqAwICzE+c7EXczgunyBsqP//8c2ho6I4dO65cuXJTX+7HH38UQrRt2/axxx674c7yU8KgQYM6duxoscnV1XXo0KFCiK1bt9ajGSUlJWPHjj137tyaNWteeOGFetQANBk9e/bcs2dPVlbWtGnTOnToYO/mCCGEm5tbbzMrVqxwdHT85ZdfNmzYYL3zDz/8IIS44447Fv1/hw8fdnBwSEpK0jTNwcFB3sCeNGnSkiVLZOGt/q1qIGdJVVVVnT9/XpYkJyfLi0/VXgC3sGvXrmvXrrVq1araJZbloO7Y2Fg5O8t2ly5dmjp1qhBi2rRpO3fubNas2Y8//rhw4cI6VXLzNLV72DYKCQmZPn36mjVr9u7du3fvXgcHhz59+oSHh0+bNq1Ow7BtlJaWJoTo3bu3LTvL63I13aWW5UlJSXVtQ1lZ2aOPPnr48OE1a9bo6xUDty19YEqj1atXr4iIiI8++mjBggUTJkyQF7d18m73wYMHDx48WO3Tr1y50q5du6ioqOHDh+fm5kZGRkZGRrZr127YsGGLFi2qaYT2TaVp2okTJzIzM3NycuQcHPHv27Li3/2ko6OjLV/6YEs/WVhYmJOTI4fs2WjKlCn5+fleXl5vv/22i4vLm2++uWDBgqVLl4aEhDz88MO213OT3KZn2EKI1atXR0dHy6PWZDL9+uuvs2bNGjJkSFlZWYO/Vn5+vhCiS5cutuz8+++/CyEs/jh1svzq1at1akBFRcXjjz9+6NCh1atXk9aAKhYtWtSqVauLFy++++675uUVFRWyo/j000+P1ED2Fffdd19iYmJ4ePgdd9whhCgsLIyNje3Xr58t30fcgNLS0l588UUPDw8/P7/x48dPnz5dH/itk/1k+/btZVNrZ0s/KerYVUZHR3/55ZdCiHXr1smL83Pnzg0ICDCZTE8//XRjWLLm9g1sIcSkSZOSk5MzMjLWrl0rv2Hthx9+kPMdG5aXl5cQIiMjw5ad5ZVwfbF7CykpKUKIar9PpiZVVVVPPfXU3r17V65cOX36dNufCMC+OnXqJNfuWL58eXZ2tl7u7Ozs6+srhHBycgqoQbNmzeTOXl5e69ev/+2337766qtZs2Z5eHhUVlb+7W9/M/8Sv5tqx44d/v7+UVFRbm5uK1as2L9/f2pqqvUaq7KfzMvLKyoqumGdtvSToi5dpdFonDlzphBiypQp+goWjo6OMTExLVq0yMnJmTx5so1V3Ty3dWBL3bp1mzp16p49e+SNCjniwFxd7/pY3xG/5557hBBnzpyxXhnfuvKgoCAhRGJiovXdF03T5O3wQYMG2dgYTdMmTZr0+eefL1++XB6OABQye/ZsT0/P0tJSi3MJuU7D999/b2M9LVq0GDZs2IoVK06cOOHq6lpaWrpnz57an1KPwT3WHVpBQUFYWFhRUdGqVatOnjw5a9asESNG+Pj4NG/e3GJP2U+Kf1/tr71a2U9mZ2cbjUbrZiQmJgohfH19rUcC1dTs8PDwoqIiDw8POYdI16NHj7ffflsIsXPnzg8//NCW2m6e2zSwLb4nWwoMDBRCXLt2TS+R97MLCwur3V9+HZvJZLIo1xcR1I0ePdrR0bGkpGTlypUWm6wPzalTpzZr1uzs2bPr16+32BQTE3P69GlnZ2fbL2u/+OKLGzduXLp0qT4vAoBCWrRoIac4b968+aefftLL5bjRTz75pNoRLfqlYOu+y83NTZ6d632d7V1ZTfShP5cuXbLYlJKSIr9h7NlnnzUv11fF0PXq1UsumfLWW29ZbLLuJ0eNGuXj46Np2uuvv26xKS0t7ZNPPhFCzJo1y8b2r1q16ptvvhFCfPTRR23atLHY+sorr8glK+bMmWPdkltKaxITY/RpXdHR0ZcvX87Nzb1w4UJ2dnZWVtb58+fl+gMZGRnp6elygP6KFSuCg4PNl7ApKyt7/PHHhRAhISF6oVz2XQjx9ddfa5pWWVn53nvvlZSUyK0xMTFCCCcnp7y8PP0p+o0Zi7kQcmJfy5Yt9RlZJpNJLmAirOZhL1q0SAjRokWL6OhovXDjxo3ytsqCBQtsfFtmz54thJg9e3Z+fn5+fv7ly5ez/7/CwkIbq2q0msDRi8bDXodTLd+HrWmayWT605/+JKwmcclexcvLKyEhQS8sKCiYM2dOv3795I9du3aNjIw0n6mcmJgoX+7w4cOypE5dWbXTuioqKuTCkW+88YYs2b1799GjRzVNu3DhgvxAsHDhQn0abXZ2tjxBEkKcOXNGr0f/asu5c+dev35dFn733Xf6am7m87APHToka54xY4a+808//SRTPygoyMb1Kk6fPi3vmj/99NM17SPXPRVC3Hffffo8tFtJNMl52Dck/73ld9UJIVq3bu3v7z9o0CA5v9nBwUE/iDVNKy4ultdtWrZs+dBDD8l99u7dK7cmJyfLSrp27RoREfH888/7+fk5ODjINVIsjnKj0aivUtSzZ89x48b5+vo6OzvLv0OLwL5+/fozzzwjd+7QocPgwYP1xYPCwsJsPFyqXZ3DwrRp0/7oW29vTeDoRePROANb0zR9KPjWrVv1wvz8fH9/f9lx9evXb9y4cb1795YTr729vTVN0297Ozg4dOvW7eGHH+7Vq5dM1pEjR+r11KkrqzawNU176KGH5AsFBAR07dpVhq7cpK9l5uvr+/jjjw8ZMsTR0VE/KTcP7PLycn1Z6M6dO4eGhsopuPrqqhZLk77//vvyVv2dd94ZGBjo6+srI9zf3//cuXO2vPMVFRUDBgwQQnTq1KmgoKCWPdeuXSvb8NJLL9lSc8MSt3NgFxUVRUVFma8pbzAY+vTpY57W0sqVK/U1/Ly9vZcsWWK+es78+fPl8SGEaN68+dixY7///vtNmzZZH+WapuXk5JgvqBscHHzs2DHrhVN0W7Zskce9/re0adMm298TAhuoK3sdTjcMbE3T5DdzeHl5ma/GWFJSEhkZ6ebmpv9Re3h4LFu2TF8Z7dixYxEREeajqV1cXGbOnHnt2jXzym3vymoK7MTERP27Etq1a/fyyy8nJyfLTQUFBTLOpc6dO0+bNu27776TP5oHtqZp5eXlkyZN0nvdHj16mN8LsAhsTdOOHz8eEBCgV96mTZv58+eXl5ff+E3XNE3T9DnWtiy6pc/5/uKLL2ysv6HII9OgaZrBYNAazWz6W6ykpMRoNJaVlfXo0aOmGQJ5eXnZ2dne3t7W9zbk1nPnzrm7u3t6etqyPO/Zs2cLCwu7detm/jdW+/55eXkdO3as/au9blu389GLBqfo4VRZWZmWllZcXNy9e3d5IdCCyWS6ePFiTk6Ou7v7XXfdpWezubp2ZdZKS0uTk5M9PT31K4LmZAO6dOliywTX3Nxco9Ho7u5uftJSi4sXLxqNRhcXF19fX314fFMij8zbPbChOo5eNCAOJzRO8si8TUeJAwCgFgIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAowMneDQCARsRgMNi7CUD1CGwA+F+aptm7CUCNuCQOAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACnCS/zMYDPZtBwAAqIVB0zR7twEAANwAl8QBAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFOAkhDAaDvZsB1J+mafZuAgDcdE7yf3R5UBQfNwHcJrgkDgCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAApwsncDAKCxMBgM9m4CUD1N0whsAPg/mqbZuwmAJflRkkviAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKcLJ3AxpGVlZWXFzcDXe76667xo8ffwvaY7vjx4/v2rWrdevWs2bNsndbANjH4sWLTSaTRaGLi0vnzp0ffPDBbt262aVV1UpMTIyPj3dzc3v55Zdv2YsWFhauXr1aCDFjxox27do1YM2ZmZkxMTFCiC5dukyZMqWWPffv33/kyBEhxMSJE318fBqwDXWgaZr8r9K++uorW37ZkJAQe7fU0scffyyE8PT0vHkvUVFRsWnTpvDw8IceeuiJJ574z//8z8uXL9+8l7vFmsDRi8bDXoeTk1Nt507Dhw8/fvy4XRpmbfny5UKInj173soXPXv2rHwrzp4927A1m0ym0aNHy8rj4uJq2s1oNLZu3VoIERQUVFVV1bBtsIU8MpvIGbbu0Ucf7dGjh3xsMpnKy8vNt+qbbh8nT54cP358enq6XhIbG7t8+fIPPvhg4sSJdmwYAAt//etfp02bJh9XVlZmZmampKTs3LnzwIED/v7+ixYtioyMtG8Lmx6DwfDpp5/27ds3Nzf3+eefDwwM7NSpk/VuERERv//+u4uLS0xMjIOD/W4la03iHEU/w46NjbV3W+rmpp5hJyUltWrVSgjx2GOP7du379y5cwkJCWPHjhVCODs7Hzly5Ga86C3WBI5eNB72OpzkGfarr75qvamiomLp0qWyf9u+ffutb5uFJnaGLR04cMBgMAghQkNDrbdGRUXJV//Xv/51M17dFvLIZNBZbcrKyoxGY1ZWlr0bUk+vvvpqSUnJJ598EhcXN3LkSC8vrwcffDAuLm7AgAEVFRVvvvmmvRsI4AacnJzmzZsXHh4uhIiIiCgtLbV3i6pnNBqNRmNFRYW9G1IfISEhc+fOFULs3r173bp15psyMzNfffVVIcTo0aNrv8l9CxDYtfn222+9vLz8/Pzs3ZB6mjp16gsvvPDcc8+ZFzo4ODz66KNCiMTERPnBDUAjFxERIYS4evXq4cOH7d2Waly/ft3Ly8vLyys1NdXebamnxYsX33///UKI2bNn6/cQNU177rnniouLXV1d5dVQ+yKwm7Jx48bJ61cWysrKhBAODg7yKhCARs7d3V0+KCgosG9LmipnZ+ctW7a0atWquLj4mWeeqaqqEkJ8+OGHhw4dEkKsXbu2c+fO9m4jgd3UtWzZ0rpw//79Qgh/f/9b3hwA9SEnFAkh+vbta9+WNGHe3t7ydnVCQsKyZcvS09PnzZsnhAgLC5swYYK9WydEk5mHXT85OTmbNm1KSUm5evWqq6tr//79x48fLz/JHj58+NKlS8ePHxdCXL9+/fPPP5dPcXR0HDdunHycmpqalJTUvHnz0NBQ82rT09NPnDjRrFkzeeXZXFZW1rZt2woKCvr27Ttw4MDu3bvX0ryqqqo9e/bEx8fn5uZ27NgxJCRkzJgxtU//sMW6det++eUXIQQzvwElXL16df78+UKI+++/v1evXhZbs7KyNm7cmJSU5OTkFBgYGBYWJicg6Uwm0759+/bv33/hwoXmzZt36dLlz3/+86BBg/TRzvXoynQpKSmnTp3S5+PEx8efOXNGPh46dKj5nOnjx4/v3r37/PnzJSUlffv2HTNmjPXvIhUVFW3fvj0lJcXHx8fPz69///61vz9Hjx7dsWNHenq6i4tLQEDAk08+2bZt29qfUpOJEyfGx8fHxMQsXLjws88+Kykp8fT0/Oc//1m/2hqe1iTG2eqjxNetW5dbg0uXLpk/ZdOmTY6OjhbvhoODw+bNmzVNe+SRR6p9u1xcXPQa5NVmd3d3i8bIf103NzeL8r1791qc706YMEHO07AeJX7q1Cnrj9KBgYGZmZn1e4uKi4tPnz49Z84c+Vc6derU+tXT2DSBoxd2sWbNmsOHD1sU2utwqmmUeHl5eVxc3N133y2E6NChQ0ZGhsUOcXFxFvHs6el57NgxfYerV6/KW7MWevTooe9Tp67MYpS4PoLdmt6MjIyMBx54wGKrs7PzkiVLrN+K9PR0izMZPz+/6Oho+dhilPiVK1es18Ly8PD45ptvbvie16SoqEhfF8VgMMTHx9e7qgYkmuQ87FpG8bm5ueXl5cnHycnJ4eHhmqbNnz9/1KhRjo6OqampJ06c2LBhg6enpxBi0qRJQ4YM+fXXX7ds2dKyZcs33nhDPtHZ2bl+DTt48ODYsWMrKiqaN28+efLkgQMHZmVlbd26dfv27dY7Z2RkDBo0qLCwsF+/fq+88oqPj09aWtoHH3yQkJDQv3//hISEe++9t06v/txzz61fv14+dnBwmD9//uLFi+v3iwBNQ0JCwvTp0/v27fvOO+8EBwffeeed9m6RiI2NPXXqlHxcVVWVmZl57ty5yspKIUS3bt22bdtmseTZ+vXr5ZDSiIiICRMmVFZWrlq16sCBA2PGjElKSmrfvr0Q4oUXXjh69Gjv3r3ffPNNb2/vnJyclJSU3bt3N9Rk4uDg4KVLlxYVFS1ZskQIMXPmTP12u4eHh3xQXFx85MiR0NDQJ5988t5773Vyctq+ffs777zz+uuv9+nTx/z0/fLly0FBQbm5uUKIsWPHjhw5srKy8ssvv7QYOStVVFSEhIQcO3asQ4cO8+bNGzBgwOXLl2NjY7dt2zZ06NANGzaEhYXV4zdycXGJiooaNmyYEOIvf/nL8OHD61HJzaI1iXMU/Qzb29t7QA2GDRum7/+Pf/xDCBEcHGxRT3FxcVlZmf7jZ599Jqo7V5bq9LF04MCBQoiOHTumpqbqhUVFRcHBwcLqDHvUqFFCiCeeeKKiokIvrKiokEudDB482GQy2fK26CZPnuzi4tKsWTMhhJOT0+TJk+t9pt7Y1HRUS8XFxcptrf03UmVr7f9GjXBr3759T548Kex6hl2tu+++e+XKlcXFxRZP+e2331xdXYUQa9as0QvLy8tl0rz11luyRH4QOXTokMXT8/Pz9cd/5AxbkhErhDh16pT1b3flyhXrU16ZwX369DEv/Pvf/y6EMBgMFouOzZkzR9ZvfoYtT+67d+9u/rtomvbBBx8IIdq3b1/vJR31pG/durX1VQ27kEdmUwtsGxdOkeeX/v7+tSdfQwX2119/LZtnvfSdrMQ8sHfu3CmEaNu2rcU1fE3T8vPz5admed2+riorK3/++efJkycLITp06PDzzz/Xo5LGpgkcvbCLp556Sv5Vzpgx4/DhwzIR7RvY4eHhp8yMHDlSCOHn51ftWpivvfaaECIoKMiifN++fUKI/v37a5pWVVUlLwru2rWrlle/2YFdLdnROTo6lpaWyhK5lJj8F7HY+dixYxaBffHiRXmHcf/+/daVyxOhKVOm2NgYc7GxsfJDg7yeERAQYH7iZC/idl44Rd5Q+fnnn0NDQ3fs2HHlypWb+nI//vijEKJt27aPPfbYDXeWnxIGDRrUsWNHi02urq5Dhw4VQmzdurUezXB0dPTz8/v4448jIiLy8vJCQ0NLSkrqUQ/QNCxatKi4uPj9998PCgpqDJfE3dzceptZsWKFo6PjL7/8smHDBuudf/jhByHEHXfcsej/O3z4sIODQ1JSkqZpDg4O8gb2pEmTlixZIgtv9W9VAzlLqqqq6vz587IkOTlZXnyq9gK4hV27dl27dq1Vq1YjRoyw3ioHdcfGxsrZWba7dOnS1KlThRDTpk3buXNns2bNfvzxx4ULF9apkpunqd3DtlFISMj06dPXrFmzd+/evXv3Ojg49OnTJzw8fNq0aX98GLa1tLQ0IUTv3r1t2Vlel6vpLrUsT0pK+iPtiYyMjI6Ovnjx4ocffiivQQG3m//6r/+ydxNuoFevXhERER999NGCBQsmTJhg8ZFC3u0+ePDgwYMHq336lStX2rVrFxUVNXz48Nzc3MjIyMjIyHbt2g0bNmzRokU1jdC+qTRNO3HiRGZmZk5OjpyDI/59W1b8u590dHS05UsfbOknCwsLc3Jy5JA9G02ZMiU/P9/Ly+vtt992cXF58803FyxYsHTp0pCQkIcfftj2em6S2/QMWwixevXq6OhoedSaTKZff/111qxZQ4YMkYuKNKz8/HwhRJcuXWzZ+ffffxdC1PR5X5ZfvXr1j7Sna9eucmxdQkLCH6kHwE21aNGiVq1aXbx48d133zUvr6iokB3Fp59+eqQGsq+47777EhMTw8PD77jjDiFEYWFhbGxsv379bPk+4gaUlpb24osvenh4+Pn5jR8/fvr06frAb53sJ9u3by+bWjtb+klRx64yOjr6yy+/FEKsW7dOXpyfO3duQECAyWR6+umnG8OSNbdvYAshJk2alJycnJGRsXbtWvkNaz/88IOc79iwvLy8hBAZGRm27CyvhOuL3VtISUkRQlT7fTJ1IqeCXL58+Q/WA+Dm6dSpk1y7Y/ny5dnZ2Xq5s7Ozr6+vEMLJySmgBnKQqRDCy8tr/fr1v/3221dffTVr1iwPD4/Kysq//e1v+o3nm23Hjh3+/v5RUVFubm4rVqzYv39/amqq9Rqrsp/My8srKiq6YZ229JOiLl2l0WicOXOmEGLKlCkhISGy0NHRMSYmpkWLFjk5OXL0j33d1oEtdevWberUqXv27JE3KuSIA3N1vetjfUf8nnvuEUKcOXPGemV868qDgoKEEImJidZ3XzRNk7fDBw0adMNmmEym06dPV7tJ0zT56aFfv343rAeAHc2ePdvT07O0tNTiXEKu0/D999/bWE+LFi2GDRu2YsWKEydOuLq6lpaW7tmzp/an1GNwj3WHVlBQEBYWVlRUtGrVqpMnT86aNWvEiBE+Pj7Nmze32FP2k+LfV/trr1b2k9nZ2Uaj0boZiYmJQghfX1/rkUA1NTs8PLyoqMjDw0POIdL16NHj7bffFkLs3Lnzww8/tKW2m+c2DWyL78mWAgMDhRDXrl3TS+T97MLCwmr3lwtxm0wmi3J9EUHd6NGjHR0dS0pKVq5cabHJ+tCcOnVqs2bNzp49q8+c1sXExJw+fdrZ2Vn/0txapKWlhYaG6lPPzcnxGuLfvzKARqtFixZyivPmzZt/+uknvfyFF14QQnzyySfVjmjRLwVb911ubm7y7Fzv62zvymqiD/25dOmSxaaUlBT5DWPPPvusebl119SrVy+5ZMpbb71lscm6nxw1apSPj4+maa+//rrFprS0tE8++UTUZTHHVatWffPNN0KIjz76qE2bNhZbX3nllcGDBwsh5syZY92SW0prEhNj9Gld0dHRly9fzs3NvXDhQnZ2dlZW1vnz5+X6AxkZGenp6XKA/ooVK4KDg82XsCkrK3v88ceFECEhIXqhXPZdCPH1119rmlZZWfnee++VlJTIrTExMUIIJyenvLw8/Sn6jRmLuRByYl/Lli31GVkmk2n16tVyZ4t52IsWLRJCtGjRIjo6Wi/cuHGjvK2yYMECW96TjIyMNm3aeHh4fPnllxbl8pPsgAEDKisrbamqMWsCRy8aD3sdTrV8H7amaSaT6U9/+pOwmsQlexUvL6+EhAS9sKCgYM6cOf369ZM/du3aNTIy0nymcmJionw5faG3OnVl1U7rqqiokAtHvvHGG7Jk9+7dR48e1TTtwoUL8gPBwoUL9Wm02dnZ+tnCmTNn9Hr0r7acO3fu9evXZeF3332nr+ZmPg/70KFDsuYZM2boO//0008y9YOCgmxcr+L06dPyrvnTTz9dtfqoCwAABOJJREFU0z5y3VMhxH333afPQ7uVRJOch31D8t9bfledEKJ169b+/v6DBg2S85sdHBzMVyssLi6W121atmz50EMPyX327t0rtyYnJ8tKunbtGhER8fzzz/v5+Tk4OMg1UiyOcqPRqK9S1LNnz3Hjxvn6+jo7O8u/Q4vAvn79+jPPPCN37tChw+DBg/XFg8LCwmw/XL7++mt5kPn4+LzyyivLli2bPHmy/C1cXV1Pnjz5h970xqEJHL1oPBpnYGuapg8F37p1q16Yn58vv8LHwcGhX79+48aN6927t5x47e3trWmaftvbwcGhW7duDz/8cK9evWSyjhw5Uq+nTl1ZtYGtadpDDz0kXyggIKBr164ydOUmfS0zX1/fxx9/fMiQIY6OjvpJuXlgl5eX68tCd+7cOTQ0VE7B1VdXtVia9P3335e36u+8887AwEBfX18Z4f7+/ufOnbPlna+oqBgwYIAQolOnTgUFBbXsuXbtWtmGl156yZaaG9ZtHdhFRUVRUVHma8obDIY+ffpYry28cuVKfQ0/b2/vJUuWmK+eM3/+fP0bKps3bz527Njvv/9+06ZN1ke5pmk5OTnmC+oGBwcfO3bMeuEU3ZYtW+Rxr/8tbdq0qa7vzLlz50JDQy2WIRw+fHhOTk5dq2qcmsDRi8aj0Qa2pmnymzm8vLzMV2MsKSmJjIx0c3PT/7o9PDyWLVumr4x27NixiIgI89HULi4uM2fOvHbtmnnltndlNQV2YmKi/l0J7dq1e/nll5OTk+WmgoICGed6Ek+bNu27776TP5oHtqZp5eXlkyZN0rusHj16mN8LsAhsTdOOHz8eEBCgV96mTZv58+eXl5ff+E3XNE3T9DnWtiy6pc/5/uKLL2ysv6HII9OgaZrBYNAazWz6W6ykpMRoNJaVlfXo0aOmGQJ5eXnZ2dne3t7W9zbk1nPnzrm7u3t6etqyPO/Zs2cLCwu7detm/jdW+/55eXkdO3as/au9apednf3tt99mZ2e3atXqgQce8PPzq3dVjc3tfPSiwSl6OFVWVqalpRUXF3fv3l1eQrNgMpkuXryYk5Pj7u5+11136dlsrq5dmbXS0tLk5GRPT0/9iqA52YAuXbrYMsE1NzfXaDS6u7ubn7TU4uLFi0aj0cXFxdfXVx8e35TII/N2D2yojqMXDYjDCY2TPDJv01HiAACohcAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAAghsAAAUQGADAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKcLJ3AwCgETEYDPZuAlA9AhsA/pemafZuAlAjLokDAKAAAhsAAAUQ2AAAKIDABgBAAQQ2AAAKILABAFAAgQ0AgAIIbAAAFEBgAwCgAAIbAAAFENgAACiAwAYAQAEENgAACiCwAQBQAIENAIACCGwAABRAYAMAoAACGwAABRDYAAAogMAGAEABBDYAAAogsAEAUACBDQCAApzk/wwGg33bAQAAamHQNM3ebQAAADfwPwddBdwEdnuaAAAAAElFTkSuQmCC" width="65%" style="display: block; margin: auto;" /> --- # Replicação e reprodução na Ciência Hoje em dia, a replicação tem se tornado **cada vez mais desafiadora**: - Estudos maiores e mais caros - Disponibilidade de recursos financeiros para pesquisas cada vez mais escassa Além disso, existem estudos que **dificilmente podem ser replicados**: - Avaliação do impacto de um terremoto - Evolução do crescimento de uma floresta - Estudo clínico que acompanhou as reações de pacientes à um medicamento durante 20 anos --- # Replicação e reprodução na Ciência - Existem muitas boas razões pelas quais não podemos replicar um estudo - Se replicar não é possível, então existem duas opções: 1. Não fazer nada (não é uma opção de verdade) 2. Reproduzir a pesquisa A ideia é criar uma espécie de **padrão mínimo**, ou um **meio-termo** entre replicar um estudo e não fazer nada. --- # Replicação e reprodução na Ciência [Peng, 2011, *Science*](http://science.sciencemag.org/content/334/6060/1226.full) <br> <img 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" width="100%" style="display: block; margin: auto;" /> --- # Replicação e reprodução na Ciência **Reprodução**: quando o pesquisador é capaz de chegar nos mesmos resultados de um estudo anterior, seguindo os **mesmos métodos**, e utilizando os **mesmos dados**. <img src="data:image/png;base64,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" width="70%" style="display: block; margin: auto;" /> --- # Replicação e reprodução na Ciência Uma parte fundamental da **pesquisa reproduzível** é tornar disponíveis - Dados - Métodos computacionais (em forma de **código**) <br> > Um projeto científico é **computacionalmente reproduzível** se um segundo pesquisador (**incluindo você no futuro**) é capaz de recriar os resultados finais do projeto, incluindo as descobertas quantitativas, tabelas e figuras, **dado apenas um conjunto de arquivos e instruções escritas**. > *Justin Kitzes* --- # Replicação e reprodução na Ciência Se reproduzir uma análise leva à um resultado já conhecido e esperado, então **qual o propósito de uma pesquisa reproduzível**? .msmall[ .pull-left-60[ **Para a Ciência:** - Padrão para **julgar** descobertas científicas - **Validação** da análise de dados - Diferentes cientistas, com diferentes visões e ideias podem colaborar no sentido de continuar a pesquisa, ou sugerir outras abordagens (**análise de dados como arte**) - Reprodutibilidade aprimora a replicabilidade - Evita esforço duplicado e encoraja o desenvolvimento cumulativo de conhecimento ] .pull-right-40[ **Para você:** - **Maior impacto da pesquisa** - Melhores hábitos de trabalho - Melhor trabalho em equipe - Mudanças futuras são mais fáceis ] ] --- # Replicação e reprodução na Ciência - A revista **Science** teve uma edição inteira dedicada à reprodutibilidade. - Muitas revistas científicas tem atualizado suas políticas de publicação, para encorajar a reprodutibilidade dos artigos publicados. - *Public Library of Science* (PLoS) - *Biostatistics* - *Foundation for Open Access Statistics* (FOAS) - Cientistas estão preocupados em fazer pesquisa reproduzível, mas... - Mesmo na PLoS, por exemplo, cerca de 60% das publicações não disponibilizam dados suficientes --- # Replicação e reprodução na Ciência **An empirical analysis of journal policy effectiveness for computational reproducibility**. [PNAS, 2018](http://www.pnas.org/content/115/11/2584). *Victoria Stodden, Jennifer Seiler, and Zhaokun Ma* - Requisitaram dados e códigos para autores de artigos da revista *Science* publicados após 2011 (quando a política de publicação foi alterada) - Tentaram reproduzir os estudos de 204 artigos - Obtiveram dados e códigos de 44% dos autores - Conseguiram reproduzir 26% deles --- # Replicação e reprodução na Ciência <img src="data:image/png;base64,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" width="55%" style="display: block; margin: auto;" /> [Stodden *et al*, 2018](http://www.pnas.org/content/115/11/2584). --- # Replicação e reprodução na Ciência Algumas respostas recebidas ([Stodden *et al*, 2018](http://www.pnas.org/content/115/11/2584)): .msmall[ *Tenho que dizer que essa é uma **solicitação pouco usual** [...]. Peça ao seu orientador para me mandar um email com explicações detalhadas ...* *Os arquivos de dados permanecem sob **nossa propriedade e não são disponibilizados de graça** ...* *O código que escrevemos é **resultado de anos de esforço acumulado** [...]. Os dados foram coletados por diversos colaboradores, então teria que **pedir permissão à eles também** ...* *Para os cálculos, eu **usei meus próprios códigos, e não há uma versão pública deles**. Como o código **não é muito amigável**, eu prefiro não compartilhar ...* *Nosso código **não foi escrito pensando em ser compartilhado com outras pessoas**. Os códigos **não são documentados**, e não temos tempo de fazer isso ...* *R é um software livre disponível em www.r-project.org. Como você deve saber, **os modelos são muito complicados** [...]. Eu usei Matlab para a geometria.* ] --- class: center, middle, inverse # Elementos da reprodutibilidade --- # Elementos da reprodutibilidade Quatro elementos principais: 1. **Dados**: Os dados utilizados na análise devem ser disponibilizados *da maneira como foram analisados originalmente*. 2. **Código**: O código utilizado para produzir os resultados apresentados. 3. **Documentação**: Descrever o **código** e os **dados** utilizados na análise de maneira clara. 4. **Distribuição**: Distribuir todos esses elementos de maneira que sejam facilmente acessíveis. --- # Elementos da reprodutibilidade Estudos recentes tem mostrado que cientistas passam cerca de 30% de seu tempo escrevendo códigos. No entanto, mais de 90% deles são primariamente *auto-didatas*, e portanto carecem de exposição à boas práticas de desenvolvimento de *software* como: - Escrever códigos de fácil manutenção - Usar um *sistema de controle de versões* - Rastreadores de *bugs* - Testes unitários - Automação de tarefas <!-- --- --> <!-- # Elementos da reprodutibilidade --> <!-- ## Boas práticas para a computação científica --> <!-- [Wilson, 2014, *PLoS*, Best prectices for scientific --> <!-- computing](https://doi.org/10.1371/journal.pbio.1001745) --> <!-- 1. Escreva programas para humanos, não para computadores --> <!-- 2. Deixe o computador fazer o trabalho --> <!-- 3. Faça alterações incrementais --> <!-- 4. Não repita você mesmo (ou outros) --> <!-- 5. Prepare-se para erros --> <!-- 6. Otimize código apenas depois que ele funcionar --> <!-- 7. Documente a ideia e o propósito, não a mecânica --> <!-- 8. Colabore --> --- class: center, middle, inverse # Ferramentas da reprodutibilidade --- # Ferramentas da reprodutibilidade **Publicar dados e códigos não é necessariamente uma tarefa trivial.** Problemas comuns: - Muitos autores simplesmente "colocam" arquivos na *web*. - Existem jornais que disponibilizam materiais suplementares, mas que sabidamente são desorganizados ou falhos. - Mesmo quando dados e códigos estão disponíveis, o leitor ainda tem que baixar dados e códigos, e então tentar juntar tudo, uma tarefa que geralmente não é fácil e desencoraja a maioria das pessoas. - O leitor pode não ter os mesmos recursos computacionais que o autor. --- # Ferramentas da reprodutibilidade Existem várias ferramentas para auxiliar a tornar uma pesquisa reproduzível. Algumas que valem a pena conhecer são: - **R**: para análise de dados, gráficos e tabelas. **Importante:** software livre e de código aberto. - **knitr** e **rmarkdown**: pacotes do R para *literate programming*. Permite escrever texto e código (executável) em um mesmo documento. - **Linguagens de marcação**: instruções para estruturar um texto. Exemplos são LaTeX, Markdown, e HTML. - **Editores de texto**: que permitam trabalhar com todos os formatos. Exemplos: Emacs, Vim, RStudio. - **Armazenamento e versionamento**: serviços como Dropbox, mas principalmente Git (Github, Gitlab, etc) - **Programas em shell**: permitem automatizar uma série de tarefas na camada de arquivos e dados. --- # Ferramentas da reprodutibilidade Algumas dicas para ajudar a tornar um projeto reproduzível: 1. Documente tudo! 2. Tudo é um arquivo (de texto) 3. Todos os arquivos devem poder ser lidos por humanos 4. Organize e "amarre" seus arquivos de forma apropriada 5. Tenha um plano para organizar, armazenar, e tornar seus arquivos disponíveis --- # Ferramentas da reprodutibilidade <img src="data:image/png;base64,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width="60%" style="display: block; margin: auto;" /> [Nature, 2018](https://www.nature.com/articles/d41586-018-05990-5) - **Use code** - **Go open-source** - **Track your versions** - **Document your analyses** - **Archive your data** - **Replicate your environment** - **Automate** - **Get help**. [Software Carpentry](https://software-carpentry.org/). --- # Ferramentas da reprodutibilidade ## Documentos dinâmicos > *Instead of imagining that our main task is to instruct a computer what > to do, let us concentrate rather on explaining to humans what we want > the computer to do.* > > Donald Knuth Uma das ferramentas mais importantes para pesquisa reproduzível nos dias de hoje. A proposta é de distribuir dados e códigos **documentados** de uma pesquisa científica, de maneira acessível e auto-contida. --- # Ferramentas da reprodutibilidade ## Documentos dinâmicos Decorre diretamente de *literate programming* (Knuth, 1984) - Da mesma forma que um *software* possui seu código-fonte, um documento dinâmico é o código-fonte de um relatório. - É uma combinação de código de computador e a descrição dos resultado que o código está gerando - Quando **compilamos** o documento, o código é executado, assim obtemos um documento que mistura **código** e **texto** No R: - `Sweave` - `knitr` - `rmarkdown` --- # Ferramentas da reprodutibilidade ## Documentos dinâmicos Para detalhes veja: [Pesquisa reproduzível com o R: de documentos dinâmicos a pacotes](http://cursos.leg.ufpr.br/prr/index.html)
(Fernando Mayer e Walmes Zeviani) 1. [Literate programming](http://cursos.leg.ufpr.br/prr/capLitProg.html)
2. [Markdown com Pandoc](http://cursos.leg.ufpr.br/prr/capMarkdown.html)
3. [Documentos dinâmicos no R](http://cursos.leg.ufpr.br/prr/capDocDin.html)
--- # Ferramentas da reprodutibilidade ## Distribuição de dados A disponibilização (e aquisição) de dados abertos pode ser feita através de **repositórios de dados**. - [figshare](https://figshare.com/): permite publicar individualmente figuras, imagens, tabelas, vídeos, e dados. Cada compartilhamento possui um **DOI**, e assim pode ser referenciado e citado. - [zenodo](https://zenodo.org/): compartilhamento de texto e dados. Também possui DOI e identifica pesquisadores pelo [Orcid](https://orcid.org/). - [Nature recommended data repositories](https://www.nature.com/sdata/policies/repositories): compilação de diversos repositórios de áreas específicas - [re3data](https://www.re3data.org/): *REgistry of REsearch Data REpositories* é um buscador de bases de dados abertos --- # Ferramentas da reprodutibilidade ## "Empacotando" tudo junto Para garantir a reprodutibilidade, o ideal é distribuir dados, códigos, documentos dinâmicos, etc, em um único "pacote". Algumas formas de fazer isso: - Criando um pacote no R - Scripts como funções e documentos dinâmicos como *vignettes* - Ajuda (mas não garante) que os pacotes utilizados sejam das mesmas versões - Veja [Pacotes R](http://cursos.leg.ufpr.br/prr/capPacR.html)
--- # Ferramentas da reprodutibilidade ## "Empacotando" tudo junto Para garantir a reprodutibilidade, o ideal é distribuir dados, códigos, documentos dinâmicos, etc, em um único "pacote". Algumas formas de fazer isso: - Usando um "gerenciador de pacotes locais" ou "gerenciador de ambientes" no R - Cria um **ambiente auto-contido**, incluindo todos os pacotes necessários em suas versões específicas - Antigamente: `packrat`, hoje: `renv` - Toda a estrutura de um projeto é compartilhada *as is* (dados, scripts, documentos dinâmicos, etc) - **Garante** que os pacotes utilizados por qualquer pessoa, em qualquer tempo, sejam sempre os mesmos - Veja [renv: Project Environments for R](https://kevinushey-2020-rstudio-conf.netlify.app/slides.html) --- # Ferramentas da reprodutibilidade ## "Empacotando" tudo junto Para garantir a reprodutibilidade, o ideal é distribuir dados, códigos, documentos dinâmicos, etc, em um único "pacote". Algumas formas de fazer isso: - Criando uma imagem Docker - Proposta muito mais genérica do que as anteriores - Usa o conceito de virtualização (a nível de SO) para criar **containers**: "blocos" auto-contidos com todos os softwares necessários (em versões específicas) - **Garante** a reprodutibilidade de maneira muito mais geral - É mais complexo do que as soluções anteriores - Veja: [A Docker tutorial for reproducible research](https://ropenscilabs.github.io/r-docker-tutorial/) --- class: center, middle, inverse # Mais recursos --- # Mais recursos - [R para pesquisa científica](http://leg.ufpr.br/~fernandomayer/aulas/reco/). Disciplina ministrada no PPG Ecologia e Conservação (UFPR) - Software Carpentry [Lessons](https://software-carpentry.org/lessons/) - [Reproducibility in Science](http://ropensci.github.io/reproducibility-guide/). A Guide to enhancing reproducibility in scientific results and writing (rOpensci) - [Pesquisa reproduzível com R: de documentos dinâmicos a pacotes](http://cursos.leg.ufpr.br/prr/): minicurso realizado na RBRAS 2016 pelos Professores Fernando Mayer e Walmes Zeviani. - [R Markdown](https://youtu.be/qFh4XtckP2k): vídeo apresentando a funcionalidade do R Markdown (2015, Meetup R São Paulo). --- # Referências - Box, GEP; Hunter, JS; Hunter, WG. [Statistics for experimenters: Design Innovation and Discovery](http://statisticsforexperimenters.net). John Wiley & Sons, 2005. - Kitzes, J., Turek, D., & Deniz, F. (Eds.). (2018). [The Practice of Reproducible Research: Case Studies and Lessons from the Data-Intensive Sciences](https://www.practicereproducibleresearch.org/). Oakland, CA: University of California Press - Gandrud, C. (2015). [Reproducible Research with R and R Studio](https://www.crcpress.com/Reproducible-Research-with-R-and-R-Studio-Second-Edition/Gandrud/p/book/9781498715379) - Stodden, V., Leisch, F., Peng, RD. (2014). [Implementing Reproducible Research](https://www.crcpress.com/Implementing-Reproducible-Research/Stodden-Leisch-Peng/p/book/9781466561595) - Gentleman, R, Lang, DT. (2012). [Statistical Analyses and Reproducible Research](http://www.tandfonline.com/doi/abs/10.1198/106186007X178663). Journal of Computational and Graphical Statistics. --- class: center, middle, inverse # Obrigado!