Evaluation and recommendation of practices for publication of reproducible data and software releases in the USGS
In practice, e.g., in model applications, data are rarely complete without workflow code and workflows are often treated as software that include data. This project aims to understand current practice and recommend future practices that better fit the needs of reproducible workflows and models.
USGS Fundamental Science Practices recognize data and software as separate information product types. In practice, data are rarely complete without some code. This results in awkward and inadequately documented data and software releases that are hard to understand and reuse. We aim to understand current practices and recommend future practices that better fit the needs of reproducible workflows. We will conduct stakeholder
interviews with information product authors, publishers, and approving officials to establish a baseline of needs and expectations. We will also establish an evidence base of current practices by mining code.usgs.gov and sciencebase.gov for software and data releases.
Recommendations and results of stakeholder interviews and evaluation of existing software and data releases will be summarized in a report containing structured results and interpretation suggesting a recommended path forward. The report will be shared within the USGS, and seminars will be arranged to communicate the outcomes and pursue next steps.
In practice, e.g., in model applications, data are rarely complete without workflow code and workflows are often treated as software that include data. This project aims to understand current practice and recommend future practices that better fit the needs of reproducible workflows and models.
USGS Fundamental Science Practices recognize data and software as separate information product types. In practice, data are rarely complete without some code. This results in awkward and inadequately documented data and software releases that are hard to understand and reuse. We aim to understand current practices and recommend future practices that better fit the needs of reproducible workflows. We will conduct stakeholder
interviews with information product authors, publishers, and approving officials to establish a baseline of needs and expectations. We will also establish an evidence base of current practices by mining code.usgs.gov and sciencebase.gov for software and data releases.
Recommendations and results of stakeholder interviews and evaluation of existing software and data releases will be summarized in a report containing structured results and interpretation suggesting a recommended path forward. The report will be shared within the USGS, and seminars will be arranged to communicate the outcomes and pursue next steps.