Remove about policies information-quality
article thumbnail

Canada’s Changing AI-Copyright Policy Discourse: A Play in Three Parts?

Kluwer Copyright Blog

Over the same period, however, the government’s messaging around Canada’s AI- copyright policy has been anything but consistent. The quality of the dataset will impact the quality of the resulting trained algorithm. Act II The Committee’s recommendation to add an exception for “informational analysis” was not acted upon.

article thumbnail

Improving Data Quality Through PIDs: How Scholarly Publishers Use Ringgold Solutions

Velocity of Content

The Ringgold Identify Database, when leveraged as the primary means of organizational information to support master data management initiatives, connects organizational information across a multitude of internal and external systems. Learn more about how Ringgold Solutions can help improve your organization’s data quality here.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Ringgold and the FAIR Principles: How Ringgold Data and Metadata are Interoperable

Velocity of Content

FAIR enables the use of data and metadata for a wide range of use cases and without it, data is not consumable in a way that is needed to build upon research, to make it reproducible, or to provide it as a trusted source of verified information to new technologies such as artificial intelligence.

article thumbnail

Ringgold and the FAIR Principles: How Ringgold Data and Metadata are Reusable

Velocity of Content

FAIR enables the use of data and metadata for a wide range of use cases and without it, data is not consumable in a way that is needed to build upon research, to make it reproducible, or to provide it as a trusted source of verified information to new technologies such as artificial intelligence.

article thumbnail

Ringgold and the FAIR Principles: How Ringgold Data and Metadata are Accessible

Velocity of Content

FAIR enables the use of data and metadata for a wide range of use cases and without it, data is not consumable in a way that is needed to build upon research, to make it reproducible, or to provide it as a trusted source of verified information to new technologies such as artificial intelligence.

article thumbnail

Creating Solutions Together at Frankfurt Book Fair 2022

Velocity of Content

Frankfurt Studio: The Data Quality Imperative . The Data Quality Imperative: Improving the Scholarly Publishing Ecosystem,? on the impact of consistent data quality strategy on the people, processes, and technology in your organization. Learn more about CCC’s Open Scholarly Publishing Solutions. Frankfurt Studio ?session.

article thumbnail

Guest post by Profs. Chien and Grennan: Unpacking the Innovator-Inventor Gap: Evidence from Engineers

Patently-O

An important take-away for practitioners is that one-size fits all policies to encourage inclusive innovation may not work, rather targeted strategies to address the specific hurdles faced by women and underrepresented ethnicities are warranted. The next two figures highlight a key finding takeaway from our study.