The RDA community is invited to comment on a variety of documents while they undergo a community review phase as part of their endorsement or recognition by RDA. These documents include:
- Working Group (WG) Case Statements and Interest Group (IG) Charters that outline the scope and expected outputs of a group at the start of the group’s life.
- RDA Recommendations, the official, endorsed results of RDA WGs and RDA’s flagship outputs. They are adoptable results, e.g. specific tools, code, best practices, or standards that will promote data sharing and exchange and increase data-driven innovation.
- RDA Supporting Outputs, useful solutions produced by RDA WGs or IGs.
- Other documents produced by RDA task forces or other RDA initiatives
Usually, those documents stay open for community review for a month. They are listed in the "RfC box" on the home page.
Below you can find a list of the documents currently under community review.
By Barbara Magagna on 16 July 2019
The I-ADOPT WG will focus on creating a community-agreed framework for representing observable properties by bringing together groups that have been working on developing terminologies to accurately encode what was measured, observed, derived, or computed. The consensus building will be informed by reviewing current practices and by a set of use cases, which will be used to define the requirements and to test and refine the common framework iteratively.
By Marieke Willems on 17 July 2019
This document presents the recommendations of the RDA Agrisemantics Working Group (WG) to promote the use of semantics for agricultural data for the purpose of enhancing data interoperability in agriculture. These recommendations are high-level, to encourage researchers and practitioners to extend them according to their area of expertise.
By Tobias Weigel on 30 July 2019
The PID Kernel Information WG produced a recommendation that contains i) guiding principles for identifying information appropriate as PID Kernel Information, ii) an exemplar PID Kernel Information profile, iii) several use cases, and iv) architectural considerations. PID Kernel Information is defined as the set of attributes stored within a PID record. It supports smart programmatic decisions that can be accomplished through inspection of the PID record alone.