Latest blog posts : Data Management

Standards Publishers in the Age of AI

15 January 2025

The Practicalities and Realities of AI — Key Takeaways from the 2024 Pistoia Alliance Conference

16 December 2024

group of medical workers using rightfind navigate

Enhancing Data Discovery: How RightFind Navigate Utilizes SciBite’s 20 Million Synonyms

3 September 2024

man working on laptop with documents and data

Transforming Standards with FAIR Principles

15 August 2024

Recent posts : Data Management

Illustration of workers finding a solution to their problem

How Better Information Management Helps Boost the Intellectual Capital of Medical Affairs Teams

Topic: Data Management Information Management

Medical Affairs teams are a vital part of the human capital available to pharmaceutical companies—these teams intersect the healthcare sphere and their fundamental role can be described as information “shareholders.”

16 May 2024

By Teresa Silveira

Portrait of a Financial Analyst Working on Computer with Multi-Monitor Workstation with Real-Time Stocks

Unify & Normalize Siloed Data: Master Data Management Essentials for Small and Medium Sized Publishers

Topic: Data Management

Master Data Management (MDM) can often help organizations normalize data from different parts of their business and help make it actionable.

17 April 2024

By Laura Cox

Business people analyzing marketing reports

Working with a Vendor for Better Dataset Solutions

Topic: Copyright Licensing & Permissions Data Management Research & Development

Carl Robinsons discusses some of the key issues data science teams encounter when building their own datasets, and how a vendor like CCC can help eliminate these issues.

2 April 2024

By Christine McCarty

vector business data analytics research and Data Scientist team meeting concept.

Can I Use Publicly Available Data for Research or Projects Without the Risk of Copyright Infringement?

Topic: Copyright Licensing & Permissions Data Management Research & Development

Using publicly available data for research or projects may be attractive because it can be more easily accessible than proprietary or private materials.

20 March 2024

By Beth Johnson

Female business woman looking through a telescope

Beyond Standard Search: Efficiently Scaling Processes and Collecting Urgent Data

Topic: Data Management Information Management Research & Development

Utilizing deep search can help an organization reduce the manual effort needed to secure crucial data found in gaps, such as across multiple unconnected data sources.

5 March 2024

By Carl Robinson, Stephen Howe

graphic illustration of workings using various tools of observation like magnifying glasses

Beyond Standard Search: Solving Problems with New Datasets from Multiple Sources

Topic: Copyright Licensing & Permissions Data Management Information Management Research & Development

Of the many applications of deep search benefitting organizations, a standout is the ability for an organization to use the solution to create an entirely new dataset when no single source exists and essential information is spread across multiple unconnected sources.

27 February 2024

By Carl Robinson, Stephen Howe

Graphic illustration of man in a search bar observing his surroundings with a magnifying glass

Beyond Standard Search: Getting More Value from Your Data

Topic: Data Management Research & Development Search & Discovery

We dive into an exploration of some specific ways that deep search can help organizations, beginning with maximizing return on investment into existing data sources.

20 February 2024

By Carl Robinson, Stephen Howe

Graphic illustration of Charts and diagrams with finanical statistics

Beyond Standard Search: Getting the Targeted Data Your Organization Needs

Topic: Data Management Information Management Search & Discovery

To become data-driven effectively, organizations naturally seek more and better data.

13 February 2024

By Carl Robinson, Stephen Howe

Paperwork and group of peoples hands on a board room table at a business presentation or seminar.

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

Topic: Data Management Scholarly Communications

The FAIR principles are designed to address the necessary steps to make research data and the metadata attached to it FAIR (Findable, Accessible, Interoperable, and Reusable).

24 January 2024

By Laura Cox

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

Topic: Data Management Scholarly Communications

The FAIR Principles are vital to enabling the use of data, not just for people, but more importantly for machines.

17 January 2024

By Laura Cox

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Latest blog posts : Data Management