How to Fight Fair Use Fear, Uncertainty, and Doubt : The Experience of One Open Educational Resource

Author : Lindsey Weeramuni

At the launch of one of the early online open educational resources (OER) in 2002, the approach to addressing copyright was uncertain. Did the university or the faculty own their material? How would the third-party material be handled? Was all of its use considered fair use under Section 107 of the U.S. Copyright Act (Title 17, United States Code) because of its educational purpose?

Or was permission-seeking necessary for this project to succeed and protect the integrity of faculty and university? For many years, this OER was conservative in its approach to third-party material, avoiding making fair use claims on the theory that it was too risky and difficult to prove in the face of an infringement claim.

Additionally, being one of the early projects of its kind, there was fear of becoming a target for ambitious copyright holders wanting to make headlines (and perhaps win lawsuits). It was not until 2009 that the Code of Best Practices in Fair Use for OpenCourseWare was written by a community of practitioners who believed that if fair use worked for documentary film makers, video creators, and others (including big media), it worked in open education as well.

Once this Code was adopted, universities and institutions were able to offer more rich and complete course content to their users than before. This paper explains how it happened at this early open educational resource offering.

URL : How to Fight Fair Use Fear, Uncertainty, and Doubt : The Experience of One Open Educational Resource

DOI: https://doi.org/10.17161/jcel.v3i1.9751

Integrating Data Science Tools into a Graduate Level Data Management Course

Authors: Pete E. Pascuzzi, Megan R. Sapp Nelson

Objective

This paper describes a project to revise an existing research data management (RDM) course to include instruction in computer skills with robust data science tools.

Setting

A Carnegie R1 university.

Brief Description

Graduate student researchers need training in the basic concepts of RDM. However, they generally lack experience with robust data science tools to implement these concepts holistically. Two library instructors fundamentally redesigned an existing research RDM course to include instruction with such tools.

The course was divided into lecture and lab sections to facilitate the increased instructional burden. Learning objectives and assessments were designed at a higher order to allow students to demonstrate that they not only understood course concepts but could use their computer skills to implement these concepts.

Results

Twelve students completed the first iteration of the course. Feedback from these students was very positive, and they appreciated the combination of theoretical concepts, computer skills and hands-on activities. Based on student feedback, future iterations of the course will include more “flipped” content including video lectures and interactive computer tutorials to maximize active learning time in both lecture and lab.

The substance of this article is based upon poster presentations at RDAP Summit 2018.

URL : Integrating Data Science Tools into a Graduate Level Data Management Course

DOI : https://doi.org/10.7191/jeslib.2018.1152

Measuring Open Access Policy Compliance: Results of a Survey

Authors : Shannon Kipphut-Smith, Michael Boock, Kimberly Chapman, Michaela Willi Hooper

INTRODUCTION

In the last decade, a significant number of institutions have adopted open access (OA) policies. Many of those working with OA policies are tasked with measuring policy compliance.

This article reports on a survey of Coalition of Open Access Policy Institutions (COAPI) members designed to better understand the methods currently used for measuring and communicating OA policy success.

METHODS

This electronic survey was distributed to the COAPI member listserv, inviting both institutions who have passed an implemented policies and those who are still developing policies to participate.

RESULTS

The results to a number of questions related to topics such as policy workflows, quantitative and qualitative measurement activities and related tools, and challenges showed a wide range of responses, which are shared here.

DISCUSSION

It is clear that a number of COAPI members struggle with identifying what should be measured and what tools and methods are appropriate. The survey illustrates how each institution measures compliance differently, making it difficult to benchmark against peer institutions.

CONCLUSION

As a result of this survey, we recommend that institutions working with OA policies be as transparent as possible about their data sources and methods when calculating deposit rates and other quantitative measures.

It is hoped that this transparency will result in the development of a set of qualitative and quantitative best practices for assessing OA policies that standardizes assessment terminology and articulates why institutions may want to measure policies.

URL : Measuring Open Access Policy Compliance: Results of a Survey

DOI : https://doi.org/10.7710/2162-3309.2247

How are we Measuring Up? Evaluating Research Data Services in Academic Libraries

Authors : Heather L. Coates, Jake Carlson, Ryan Clement, Margaret Henderson, Lisa R Johnston, Yasmeen Shorish

INTRODUCTION

In the years since the emergence of federal funding agency data management and sharing requirements (http://datasharing.sparcopen.org/data), research data services (RDS) have expanded to dozens of academic libraries in the United States.

As these services have matured, service providers have begun to assess them. Given a lack of practical guidance in the literature, we seek to begin the discussion with several case studies and an exploration of four approaches suitable to assessing these emerging services.

DESCRIPTION OF PROGRAM

This article examines five case studies that vary by staffing, drivers, and institutional context in order to begin a practice-oriented conversation about how to evaluate and assess research data services in academic libraries.

The case studies highlight some commonly discussed challenges, including insufficient training and resources, competing demands for evaluation efforts, and the tension between evidence that can be easily gathered and that which addresses our most important questions.

We explore reflective practice, formative evaluation, developmental evaluation, and evidence-based library and information practice for ideas to advance practice.

NEXT STEPS

Data specialists engaged in providing research data services need strategies and tools with which to make decisions about their services. These range from identifying stakeholder needs to refining existing services to determining when to extend and discontinue declining services.

While the landscape of research data services is broad and diverse, there are common needs that we can address as a community. To that end, we have created a community-owned space to facilitate the exchange of knowledge and existing resources.

URL : How are we Measuring Up? Evaluating Research Data Services in Academic Libraries

DOI : http://doi.org/10.7710/2162-3309.2226

Data Sustainability and Reuse Pathways of Natural Resources and Environmental Scientists

Author : Yi Shen

This paper presents a multifarious examination of natural resources and environmental scientists’ adventures navigating the policy change towards open access and cultural shift in data management, sharing, and reuse.

Situated in the institutional context of Virginia Tech, a focus group and multiple individual interviews were conducted exploring the domain scientists’ all-around experiences, performances, and perspectives on their collection, adoption, integration, preservation, and management of data.

The results reveal the scientists’ struggles, concerns, and barriers encountered, as well as their shared values, beliefs, passions, and aspirations when working with data. Based on these findings, this study provides suggestions on data modeling and knowledge representation strategies to support the long-term viability, stewardship, accessibility, and sustainability of scientific data.

It also discusses the art of curation as creative scholarship and new opportunities for data librarians and information professionals to mobilize the data revolution.

URL : https://arxiv.org/abs/1803.01788

David Allan Bromley: The Early Champion of Information Super Highway and Open Access to Science

Author : Randy Ray

Having grown up as a small boy on a farm in Northern Canada without plumbing or electricity, David Allan Bromley went on to become the first sterling Professor of the sciences at Yale University, Chair of its Physics Department, and Dean of Engineering; at various times President of the American Association for the Advancement of Science, the Union of Pure and Applied Physics, and the American Physical Society; the first cabinet-level assistant to the President of the United States for Science and Technology with direct access to the President; and the Senate-confirmed Director of the White House Office of Science and Technology Policy.

He was an early champion of high speed network which he called ‘data superhighway’ now known as the Internet and Information superhighway, as well as the concept of Open Access to Science. He was a leading figure in nuclear physics. In the area of public policy he will be remembered as one of the most effective Science Advisers to the President of the United States.

URI : http://hdl.handle.net/10760/32503

Law.Gov : A Proposed Distributed Reposit…

Law.Gov : A Proposed Distributed Repository of All Primary Legal Materials of the United States :
“Law.Gov is an idea, an idea that the primary legal materials of the United States should be readily available to all, and that governmental institutions should make these materials available in bulk as distributed, authenticated, well-formatted data. To make this idea a reality, a series of workshops were held throughout the country, resulting in a consensus on 10 core principles”
URL : http://resource.org/law.gov/index.html