Adoption & benefits

Why should the RDA Outputs be adopted?

Current data practice challenges are many. Managing, re-using and combining data in science, industry and society is very inefficient, it takes up too much time and binds creative minds. The results produced by data driven work is barely reproducible with an associated lack of trust. A global change of practices is accepted as being an urgent demand, yet there is a severe lack of direction, guidance and trained data experts. Excellent island solutions testing out various options have been developed by different labs, and companies all claiming to have the optimal solutions. Similar to the early Internet this diversity highlights an urgent need for convergence and collaboration. 

Adoption of RDA putputs will lead to:
» Efficient use and re-use of data and reducing related costs
» Increased trust in data science results based on transparent reproducibility.
» Better scientific contribution to society’s grand challenges.
» Take up by small companies and entrepreneurs to develop smart data applications for society at large.
» Economic growth & increased employment for data, and other, professionals.

Who benefits?

Data Citation

Researchers can cite data that is subjected to change. When data gets modified, all changes are reflected in the citation information that includes a time-stamp & version history.


Data Description Registry Interoperability (DDRI)

Infrastructure providers & data librarians to find connections across research data registries and create global views of research data.


Data Foundation & Terminology (DFT)

Scientific Communities through increased cross disciplinary data exchange and interoperability.
Developers by creation of interoperable data management & processing systems.


Data Type Registries (DTR)

Researchers by easily processing or visualising content of unknown data type.
Machines by automatically extracting relevant information fromany registered data type.


Metadata

Researchers & service providers to re-use existing standards, to match and map metadata standards leading to interoperability.


PID Information Types (PIT)

Providers by offering a unified access method to all PID service users worldwide.
Developers by supporting just one interface and thus drastically decreasing programming effort.


Practical Policy (PP)

Data managers & scientists by executing documented workflow chains to improve trust.
Researchers by creating reproducible science with the help of documenting procedures.


Repository Audit and Certification DSA–WDS

A convergent DSA-WDS certification standard will help eliminate duplication of effort, increase certification precedure coherence and compatibility thus benefitting researchers, data
managers, librarians and scientific communities.


RDA/WDS Publishing Data Bibliometrics

Researchers and the entire research community will benefit from improved research data metrics and corresponding services, with the final goal of increasing the overall availability and quality of citations and research data itself.


RDA/WDS Publishing Data Services

A universal interlinking service between data and the scientific literature will be beneficial for researchers, data managers, publishers, providers of bibliographical information as well data centers and research institutes.


RDA/WDS Publishing Data Workflows

Building on and adopting emerging best practices in publishing data workflows will significantly improve the work of researchers and research organisations organisations as well as enhance the possibilities for greater discoverability and a more efficient and reliable reuse of research data benefitting other stakeholders like publishers, libraries and data centres.


Wheat Data Interoperability

Data managers & scientists will benefit from the creation of a framework to support the establishment of a global wheat information system.