Our poster will reflect our recent efforts to understand the workflows and policies needed for the long-term preservation of code, annotations, and other scholarly ephemera from Git hosting platforms. We undertook an environmental scan of the existing processes and tools for capturing and actively archiving Git data and their associated, supplemental materials. We will present the results of this broad environmental scan, covering a wide variety of approaches, organizations, and workflows that could possibly be used to create a baseline on which to build and expand archival tools. Our efforts are geared toward acquiring, archiving, and providing permanent access to source code, and the materials around it, and argue that the whole should be...
Abstract Background Reproducibility is the hallmark of good science. Maintaining a high degree of tr...
Abstract The awareness and recognition of software’s role in all scientific communities is growing ...
Scientists collect, generate, and analyze data in a variety of forms. Oftentimes, this leads to data...
The Investigating and Archiving the Scholarly Git Experience (IASGE) project is multi-track study fo...
Software Heritage, the universal source code archive, has the ambitious goal to collect, preserve an...
Software Heritage, the universal source code archive, has the ambitious goal to collect, preserve an...
The definition of scholarly content has expanded to include the data and source code that contribute...
Software plays an essential role in today's scientific research. In addition to research data, the s...
This presentation for the International Data Curation Conference (2022) introduces the Alfred P. Slo...
This paper presents original research about the behaviors, histories, and motivations of scholars wh...
International audienceSoftware is now a key component present in all aspects of our society. Its pre...
This report describes the Alfred P. Sloan-funded project "Collaborating On Software Archiving For In...
Software source code contains a growing part of the scientific and technical knowledge developed in ...
This poster session summarizes the output of a comprehensive Web archiving environmental scan conduc...
Archivematica is an open source software platform that incorporates the community’s experiences and ...
Abstract Background Reproducibility is the hallmark of good science. Maintaining a high degree of tr...
Abstract The awareness and recognition of software’s role in all scientific communities is growing ...
Scientists collect, generate, and analyze data in a variety of forms. Oftentimes, this leads to data...
The Investigating and Archiving the Scholarly Git Experience (IASGE) project is multi-track study fo...
Software Heritage, the universal source code archive, has the ambitious goal to collect, preserve an...
Software Heritage, the universal source code archive, has the ambitious goal to collect, preserve an...
The definition of scholarly content has expanded to include the data and source code that contribute...
Software plays an essential role in today's scientific research. In addition to research data, the s...
This presentation for the International Data Curation Conference (2022) introduces the Alfred P. Slo...
This paper presents original research about the behaviors, histories, and motivations of scholars wh...
International audienceSoftware is now a key component present in all aspects of our society. Its pre...
This report describes the Alfred P. Sloan-funded project "Collaborating On Software Archiving For In...
Software source code contains a growing part of the scientific and technical knowledge developed in ...
This poster session summarizes the output of a comprehensive Web archiving environmental scan conduc...
Archivematica is an open source software platform that incorporates the community’s experiences and ...
Abstract Background Reproducibility is the hallmark of good science. Maintaining a high degree of tr...
Abstract The awareness and recognition of software’s role in all scientific communities is growing ...
Scientists collect, generate, and analyze data in a variety of forms. Oftentimes, this leads to data...