The Attribution and Acknowledgment Content Framework (AACF) Project
Hou, Chung-Yi; Mayernik, Matthew
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https://hdl.handle.net/2142/88845
Description
Title
The Attribution and Acknowledgment Content Framework (AACF) Project
Author(s)
Hou, Chung-Yi
Mayernik, Matthew
Issue Date
2015
Keyword(s)
data citation, acknowledgment and attribution, schema
Abstract
As an important part of the research and data lifecycle, recognizing contributions to the production, management, and preservation of data can have significant academic and professional impact as well as social and cultural influence. However, defining and clarifying contributions and the relationships of specific individuals and organizations can be challenging. As scientific projects become more collaborative, the diversity of skills and expertise involved in producing the resulting datasets is also extending. In order to provide a method for organizing, documenting, and storing contributions to a scientific project and its related products, an attribution and acknowledgement framework has been created. The framework is implemented using an XML schema to formalize the details of the roles and responsibilities summarized in an accompanying matrix.
This project includes the preliminary version of the Attribution and Acknowledgement Content Matrix and Schema.
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