surveydown:プログラム可能で再現可能な調査のためのオープンソースのマークダウンベースのプラットフォーム
Pingfan Hu1, Bogdan Bunea1, John Paul Helveston1
1Department of Engineering Management and Systems Engineering, George Washington University, Washington, District of Columbia, United States of America.
PloS one
|August 29, 2025
まとめ
研究者は現在,マークダウンとRコードを活用したプラットフォームであるSurveyDownを使用して,プログラム可能で再現可能な調査を構築できます. このオープンソースのツールは,調査作成と分析のための協力とデータ管理を強化します.
科学分野:
- コンピュータ科学
- データサイエンス
- 社会科学
背景:
- 伝統的な調査プラットフォームは,しばしばグラフィカルインターフェイスやスプレッドシートに依存し,再現性とバージョン管理を制限します.
- Rの既存のデータ分析ワークフローとの統合が不足すると,研究効率が低下する可能性があります.
研究 の 目的:
- プログラム可能で再現可能な調査を作成するためのオープンソースのプラットフォームであるSurveyDownを導入します.
- 研究者がRコードとマークダウンを活用して,高度な調査設計とデータ管理を可能にします.
主な方法:
- Rマークダウンを使用して,GitHubのようなプラットフォームを通じてバージョン制御を可能にします.
- インタラクティブな調査アプリケーションをレンダリングするためにR Shiny Webフレームワークを利用します.
- 条件付き論理,ダイナミックな質問表示,ランダム化などの複雑な機能をサポートします.
主要な成果:
- surveydownは高度にカスタマイズ可能なインタラクティブな調査を作成できます.
- このプラットフォームは,Rベースのデータ収集と分析のワークフローとのシームレスな統合を容易にする.
- 研究者は調査の実施とデータ保存を完全にコントロールします.
結論:
- surveyydownは,再現可能で協力的な調査アプローチを提供します.
- プラットフォームは研究者に高度な機能とデータに対するより大きなコントロールを 提供します
- 調査調査プロセスの効率と整合性を高めます.
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