Abstract

BackgroundThis paper presents a deep-dive examination of the cross-boundary data practices of natural resources and environmental scientists in the context of Virginia Tech’s institutional visioning and strategic development efforts. The goal is to understand scientists’ actual data information behaviors, their communication and exchange dynamics, and their knowledge discovery mechanisms for effective and productive data sharing and reuse. A focus group and multiple individual interviews were conducted using critical incident, story telling, and scenario building techniques.ResultsThe results reveal the subtle importance of interpersonal communication and interactive discussion in deciphering nuances, discovering novelty, and revealing insights in data, all of which enable productive exchange and effective reuse. In the new transformative and disruptive research environments, novel discoveries are catalyzed by scientific knowledge, driven and inspired by research curiosity and creativity, and enabled by unique and rich data collections.ConclusionsAs such, an integrated view of social and technical factors must be figured into the holistic design of data repository, discovery, and learning system. Libraries have significant roles to play to advance both social and technical infrastructures of a research data ecosystem in a strategic, targeted, and synchronized fashion.

Highlights

  • This paper presents a deep-dive examination of the cross-boundary data practices of natural resources and environmental scientists in the context of Virginia Tech’s institutional visioning and strategic development efforts

  • This paper presents a study of cross-boundary data instrumentation and knowledge discovery dynamics in natural resources and environmental science where Big Data is powering transformative changes and where knowledge gaps and policy opportunities reside

  • Based at Virginia Tech (VT), the research participants include all members of the Center for Natural Resources Assessment and Decision Support (CeNRADs) and other

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Summary

Introduction

This paper presents a deep-dive examination of the cross-boundary data practices of natural resources and environmental scientists in the context of Virginia Tech’s institutional visioning and strategic development efforts. Natural resources data from various monitoring sources are becoming bigger, faster, and diverse than ever before Transforming these data into scientific evidence for policy making and business opportunities requires enhanced capacities to discover, access, and integrate diverse data in a distributed context (Research Data Alliance 2015). Reuse, repurpose, and integration in creative ways to address new questions or grand challenges, it is essential to understand how scientists communicate, exchange, and interact with data to create benefits and add values that impact business practices, government policies, and scientific knowledge. This paper presents a study of cross-boundary data instrumentation and knowledge discovery dynamics in natural resources and environmental science where Big Data is powering transformative changes and where knowledge gaps and policy opportunities reside. Based at Virginia Tech (VT), the research participants include all members of the Center for Natural Resources Assessment and Decision Support (CeNRADs) and other

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