Data Management Archives

Recent posts : Data Management

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Bringing Data Science to the Information Center

Topic: Data Management Information Management

Learn how one information professional is learning to focus on her internal users’ data needs, as told by Mary Ellen Bates.

13 June 2023

By Mary Ellen Bates

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Swimming in the AI Data Lake: Why Disclosure and Versions of Record Are More Important than Ever

Topic: Artificial Intelligence (AI) Data Management

While generative AI such as ChatGPT gets all the buzz, AI in other, typically more targeted forms, has been used for years to solve business and research challenges.

1 June 2023

By Roy Kaufman

5 Tips to Establish Collaborative Relationships Between Info Pros & Data Scientists

Topic: Data Management Pharma & Healthcare

Mary Ellen Bates shares the inside story of an information scientist working among a team of data professionals – with his tips for collaborative success.

18 May 2023

By Mary Ellen Bates

What Sets Ringgold Solutions Apart

Topic: Data Management Scholarly Communications

Ringgold Solutions accommodates the growing use cases for the future of our scholarly communications ecosystem with data that is detailed, robust, and trustworthy.

17 May 2023

By Laura Cox

Uncovering Novel Insights with Data Analytics

Topic: Data Management

How can you apply insights-driven decision making across your R&D pipeline? This blog post offers some best practices from leading pharma companies.

18 April 2023

By Gretchen Hover

Approaches for Understanding Data Quality in Ringgold Identify Database

Topic: Artificial Intelligence (AI) Data Management

Data quality is an expression of a data’s usefulness and value. We often describe the things we build as knowledge systems, or a system that takes data as its input and, through a series of data process steps, extracts as much of the ‘actionable information’ in the data as is possible.

11 April 2023

By Stephen Howe

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

Topic: Data Management Scholarly Communications

As publishers continue to leverage new systems and tools in their efforts to continually improve publishing workflows, additional challenges with inconsistent and inaccurate metadata have emerged.

6 April 2023

By Jessica Thibodeau

The Importance of Data for AI

Topic: Artificial Intelligence (AI) Data Management

In Thomas Kuhn’s work, paradigms are characterized by “universally recognized scientific achievements that for a time provide model problems and solutions to a community of practitioners.”

29 March 2023

By Haralambos Marmanis

Topics in Data Management Part II: The Need for Data Governance

Topic: Data Management

In this post we focus on the concept of data governance and its importance in furthering the aim of transforming data into an organizational asset.

9 March 2023

By Glenn Street

Gathering Relevant Research Data Effectively with Content Aggregation

Topic: Data Management Information Management

We’re breaking down the different types of personalization used by search engines so we can recognize the benefits of applying these tools to data searches in the business environment. 

8 March 2023

By Gretchen Hover

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