data and R-code for paper "10 years of decision-making for biodiversity conservation actions: A systematic literature review"

there are 3 data sets that are used in the R code to produce figures: 1) data_decision_examples.csv: main data set which contains 466 examples from the published literature that use a specific decision-aiding framework to plan for management actions in a conservation context. Data fields contain information on framework, country, level of implementation, authors, title of publication, and the presence/absence of five criteria that are considered important in decision-science: a quantitative objective, clear link to a threat, application of a sensitivity analysis, consideration of socio-economic constraints, deliberation on trade-offs between different objectives2) authors.csv: data set that includes all authors and co-authors of the 466 examples to produce a co-author network3) interrater_data_lit_review.csv: data set that includes results from a reproducibility test with 4 additional raters to produce box plots4) R code to produce figures<br>

本研究用于生成图表的R代码共涉及3个数据集及配套代码，具体如下：
1. data_decision_examples.csv：核心数据集，收录来自已发表文献的466个案例，这些案例采用特定决策辅助框架（decision-aiding framework），用于规划保护场景下的管理行动。数据集字段涵盖框架类型、所属国家、实施水平、作者、出版物标题，以及决策科学（decision-science）领域公认的五项重要判别标准的有无情况：量化目标、与威胁的明确关联、敏感性分析（sensitivity analysis）的应用、社会经济约束（socio-economic constraints）考量、不同目标间权衡的研讨。
2. authors.csv：该数据集收录上述466个案例的全部作者及合著者信息，用于构建合著者网络（co-author network）。
3. interrater_data_lit_review.csv：该数据集包含额外4名评估员开展的可重复性检验（reproducibility test）结果，用于绘制箱线图（box plots）。
4. 用于生成图表的R代码。