Leveraging metrics to drive data sharing at the Science journals

For the scientific research published in Science to be accessible, it is important that the data, methods, results, and code are transparently reported and openly shared. Science has policies on material, data, and code sharing that support our goals of transparency and openness. These include that all papers must have a data availability statement and that all data and code must be available in the paper or deposited in a permanent public repository. Exceptions are made—for example, if there are security concerns or to protect personal privacy. In 2024, Science partnered with the company DataSeer to determine the extent to which our research papers share data and code. Dataseer uses natural language Processing (NLP) to measure a number of Open Science Indicators in published articles. The dataset “AAAS Open Science Metrics data 2021 to 2024” provides article-level data for 2680 Science papers published between 2021 and 2024. This includes article metadata, such as the doi and publicati..., , # Leveraging metrics to drive data sharing at the Science journals Dataset DOI: [10.5061/dryad.zkh1893qt](https://doi.org/10.5061/dryad.zkh1893qt) ## Description of the data and file structure *Science* has policies on material, data, and code sharing that support our goals of transparency and openness., but we lack data on compliance.In 2024, *Science* partnered with the company DataSeer to determine the extent to which our research papers share data and code. Dataseer uses natural language Processing (NLP) to measure a number of Open Science Indicators in published articles. We compared data for Science with publicly available data for the Public Library of Science (PLOS) and Taylor and Francis. ### Files and variables #### File: AAAS_Open_Science_Metrics_data_2021_to_2024.csv **Description:** The dataset [AAAS_Open_Science_Metrics_data_2021_to_2024.csv](https://datadryad.org/downloads/file_stream/4513131) was obtained by the company Dataseer. Science provided Dataseer with th...,