Text and Data Mining

Text and Data Mining (TDM) is the automated process of selecting and analyzing large amounts of text or data resources in a way that can provide valuable information needed for studies and research projects. This includes purposes such as searching for content, finding patterns, discovering relationships, semantic analysis, and learning how content relates to ideas and needs. 

As the volume of scientific publications increase and TDM software tools improve, we are moving towards a more formalized process to enable TDM, and strive to make this as simple as possible for customers and researchers. Interested in learning more? Check out some of the latest tools and resources Springer Nature has put together to best arm you and your research staff.

Arming corporate librarians with tools, tactics and strategies

Episode 1: Experts from 3M’s Knowledge Discovery & Analytics Group: Exploring the Roles Information Professionals Can Play in TDM Initiatives                                                          

Listen now to our interview with Jonnie Hauswirth, Rachel Wangerin and Jennifer Nelson from 3M’s Knowledge Discovery & Analytics Group talk about their roles in TDM initiatives and how they’ve raised awareness — and gained recognition — for their team by applying their unique expertise to help develop creative solutions for their users.

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Episode 2: Robin Padilla from Springer Nature: TDM Projects Taking Place at SN, and the Ways that Information and KM Professionals Can Contribute Strategically to TDM Projects in their Organization          

Listen now to our interview with Springer Nature’s Robin Padilla, Director of Product Management for Data and Analytics Solutions, as he talks about the TDM initiatives that Springer Nature has been developing for clients as well as for internal projects.

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How Text & Data Mining Uncovers Hidden Data Points and Powers New Discoveries

In this webinar, Dr. Prathik Roy explores the power of Springer Nature’s Text & Data Mining/Open APIs and how they have been helping students, faculty, and researchers to open up endless possibilities for developing new knowledge models or creating new APIs that can be developed and monetized.

Bringing Insight to Data: Info Pros’ Role in Text- and Data-Mining| September 27, 2018

In this webinar, Mary Ellen Bates offers insights into what aspects of TDM most benefit from an info pro point of view and how info pros can best leverage their professional expertise in this new field.

Managing Institutional Knowledge and Insight| June 1, 2020

View this webinar to learn more about how information managers can contribute to Text and Data Mining (TDM) projects and what questions information managers need to ask before a TDM project is initiated.

Scientific data to assist your COVID-19 research efforts

Finding anti-viral treatments for COVID-19 and effective vaccines for SARS-CoV-2, have brought into focus the utility of the Text and Data Mining of scientific content, together with AI supported methods, to greatly reduce the time needed to accurately identify candidate solutions. Springer Nature is  collaborating with a variety of partners to provide free access to the relevant content for both human and machine consumption and you can now gain direct free access to the content by registering for an API key to gain free access to the Fulltext XML of all our relevant Springer and Nature Journal content to support you in your COVID-19 efforts. Register now.

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