Global Open Research Commons: Creating an International Model for Improved Interoperability and Collaboration

In response to the global movement to implement national and cross-national or global commons, a Research Data Alliance (RDA) Interest Group was formed to work towards a community-developed typology for describing research commons. This Interest Group created a Working Group to develop an International Model (IM) describing the attributes of Global Open Research Commons (GORC). The vision of the GORC, once realised, will provide frictionless access to all research artifacts to everyone, everywhere, at all times, with the appropriate infrastructure, protocols, and support. This is the environment that will allow the research community to focus on their research questions and respond accordingly. To address what research commons and infrastructures would need to consider to be part of the GORC, the RDA GORC IM Working Group (WG) consolidated a large range of resources and expert feedback to generate the model. Between 2021 and 2023, the WG conducted a two-stage literature analysis, a 12-participant speaker series and multiple rounds of focused and casual community consultation. The model consists of 10 elements, with associated categories, subcategories, attributes and features, to be considered when undertaking the development of a commons of any kind, at any stage. The model does not mandate what should be implemented or in what way; the decisions on what is relevant and where resources should be invested will vary depending on the environment and priorities of the implementer. The model supports the development of individual commons and the work necessary to make them interoperable. It provides a firm, yet flexible, foundation for creating a set of recommendations and a roadmap for building the GORC. Use cases of the IM demonstrate that it provides guidance and structure for existing and intended commons, with directions for future work arising from these adoptions.

Authors

Publication Details

Journal
Data Science Journal
Published
2024-12-06
DOI
https://doi.org/10.5334/dsj-2024-056
Citations
2
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global Open Research Commons: Creating an International Model for Improved Interoperability and Collaboration

Charles J. Woodford, Andrew Treloar
2 citations
Data Science Journal
Research Data Management Practices
1.56
article

Global Open Research Commons: Creating an International Model for Improved Interoperability and Collaboration

Charles J. Woodford, Andrew Treloar
article en
2 citations

Abstract

In response to the global movement to implement national and cross-national or global commons, a Research Data Alliance (RDA) Interest Group was formed to work towards a community-developed typology for describing research commons. This Interest Group created a Working Group to develop an International Model (IM) describing the attributes of Global Open Research Commons (GORC). The vision of the GORC, once realised, will provide frictionless access to all research artifacts to everyone, everywhere, at all times, with the appropriate infrastructure, protocols, and support. This is the environment that will allow the research community to focus on their research questions and respond accordingly. To address what research commons and infrastructures would need to consider to be part of the GORC, the RDA GORC IM Working Group (WG) consolidated a large range of resources and expert feedback to generate the model. Between 2021 and 2023, the WG conducted a two-stage literature analysis, a 12-participant speaker series and multiple rounds of focused and casual community consultation. The model consists of 10 elements, with associated categories, subcategories, attributes and features, to be considered when undertaking the development of a commons of any kind, at any stage. The model does not mandate what should be implemented or in what way; the decisions on what is relevant and where resources should be invested will vary depending on the environment and priorities of the implementer. The model supports the development of individual commons and the work necessary to make them interoperable. It provides a firm, yet flexible, foundation for creating a set of recommendations and a roadmap for building the GORC. Use cases of the IM demonstrate that it provides guidance and structure for existing and intended commons, with directions for future work arising from these adoptions.

Data Science JournalVol. 23
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Research Data Management Practices
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.