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Do You Have an Institutional Data Policy? A Review of the Current Landscape of Library Data Services and Institutional Data Policies

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INTRODUCTION

Many research institutions have developed research data services in their libraries, often in anticipation of or in response to funder policy. However, policies at the institution level are either not well known or nonexistent.

METHODS

This study reviewed library data services efforts and institutional data policies of 206 American universities, drawn from the July 2014 Carnegie list of universities with “Very High” or “High” research activity designation. Twenty-four different characteristics relating to university type, library data services, policy type, and policy contents were examined.

RESULTS

The study has uncovered findings surrounding library data services, institutional data policies, and content within the policies.

DISCUSSION

Overall, there is a general trend toward the development and implementation of data services within the university libraries. Interestingly, just under half of the universities examined had a policy of some sort that either specified or mentioned research data.

Many of these were standalone data policies, while others were intellectual property policies that included research data. When data policies were discoverable, not behind a log in, they focused on the definition of research data, data ownership, data retention, and terms surrounding the separation of a researcher from the institution.

CONCLUSION

By becoming well versed on research data policies, librarians can provide support for researchers by navigating the policies at their institutions, facilitating the activities needed to comply with the requirements of research funders and publishers. This puts academic libraries in a unique position to provide insight and guidance in the development and revisions of institutional data policies.

URL : Do You Have an Institutional Data Policy? A Review of the Current Landscape of Library Data Services and Institutional Data Policies

DOI : http://doi.org/10.7710/2162-3309.1232

Approaches to Data Sharing: An Analysis of NSF Data Management Plans from a Large Research University

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INTRODUCTION

Sharing digital research data is increasingly common, propelled by funding requirements, journal publishers, local campus policies, or community-driven expectations of more collaborative and interdisciplinary research environments. However, it is not well understood how researchers are addressing these expectations and whether they are transitioning from individualized practices to more thoughtful and potentially public approaches to data sharing that will enable reuse of their data.

METHODS

The University of Minnesota Libraries conducted a local opt-in study of data management plans (DMPs) included in funded National Science Foundation (NSF) grant proposals from January 2011 through June 2014. In order to understand the current data management and sharing practices of campus researchers, we solicited, coded, and analyzed 182 DMPs, accounting for 41% of the total number of plans available.

RESULTS

DMPs from seven colleges and academic units were included. The College of Science of Engineering accounted for 70% of the plans in our review. While 96% of DMPs mentioned data sharing, we found a variety of approaches for how PIs shared their data, where data was shared, the intended audiences for sharing, and practices for ensuring long-term reuse.

CONCLUSION

DMPs are useful tools to investigate researchers’ current plans and philosophies for how research outputs might be shared. Plans and strategies for data sharing are inconsistent across this sample, and researchers need to better understand what kind of sharing constitutes public access. More intervention is needed to ensure that researchers implement the sharing provisions in their plans to the fullest extent possible. These findings will help academic libraries develop practical, targeted data services for researchers that aim to increase the impact of institutional research.

URL : Approaches to Data Sharing: An Analysis of NSF Data Management Plans from a Large Research University

DOI : http://doi.org/10.7710/2162-3309.1231

Data Management Practices Across an Institution: Survey and Report

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INTRODUCTION

Data management is becoming increasingly important to researchers in all fields. The E-Science Working Group designed a survey to investigate how researchers at Northwestern University currently manage data and to help determine their future needs regarding data management.

METHODS

A 21-question survey was distributed to approximately 12,940 faculty, graduate students, postdoctoral candidates, and selected research-affiliated staff at Northwestern’s Evanston and Chicago Campuses. Survey questions solicited information regarding types and size of data, current and future needs for data storage, data retention and data sharing, what researchers are doing (or not doing) regarding data management planning, and types of training or assistance needed. There were 831 responses and 788 respondents completed the survey, for a response rate of approximately 6.4%.

RESULTS

Survey results indicate investigators need both short and long term storage and preservation solutions. However, 31% of respondents did not know how much storage they will require. This means that establishing a correctly sized research storage service will be difficult. Additionally, research data is stored on local hard drives, departmental servers or equipment hard drives. These types of storage solutions limit data sharing and long term preservation.

Data sharing tends to occur within a research group or with collaborators prior to publication, expanding to more public availability after publication. Survey responses also indicate a need to provide increased consulting and support services, most notably for data management planning, awareness of regulatory requirements, and use of research software.

URL : Data Management Practices Across an Institution: Survey and Report

DOI : http://doi.org/10.7710/2162-3309.1225

Converting STEM Doctoral Dissertations into Patent Applications: A Study of Chemistry, Physics, Mathematics, and Chemical Engineering Dissertations from CIC Institutions

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Doctoral candidates may request short-term embargoes on the release of their dissertations in order to apply for patents. This study examines how often inventions described in dissertations in chemical engineering, chemistry, physics, and mathematics are converted into U.S. patent applications, as well as the relationship between dissertation approval dates and patent application filing dates.

Dissertations approved in 2008 by the 13 Committee on Institutional Cooperation universities provided the sample populations. Authors were searched as inventors in the U.S. Patent and Trademark Office’s Patent Applications Full-text database to identify relevant patent applications. The number of dissertations yielding applications varied by discipline. Mathematics had none; chemical engineering had the most.

The majority of applications in chemical engineering and chemistry were filed either prior to or in the same month as the dissertation approval dates; all of those in physics were filed after them. These results will be of interest to librarians, administrators, advisors, and anyone else associated with determining and approving embargoes for dissertations, as well as science and engineering librarians working with graduate students interested in patenting the results of their research.

URL : http://www.istl.org/15-summer/refereed3.html

The Future of Institutional Repositories at Small Academic Institutions: Analysis and Insights

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Institutional repositories (IRs) established at universities and academic libraries over a decade ago, large and small, have encountered challenges along the way in keeping faith with their original objective: to collect, preserve, and disseminate the intellectual output of an institution in digital form. While all institutional repositories have experienced the same obstacles relating to a lack of faculty participation, those at small universities face unique challenges.

This article examines causes of low faculty contribution to IR content growth, particularly at small academic institutions. It also offers a first-hand account of building and developing an institutional repository at a small university. The article concludes by suggesting how institutional repositories at small academic institutions can thrive by focusing on classroom teaching and student experiential learning, strategic priorities of their parent institutions.

URL : http://www.dlib.org/dlib/september15/wu/09wu.html

The presence of High-impact factor Open Access Journals in Science, Technology, Engineering and Medicine (STEM) disciplines

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The present study means to establish to what extent high-quality open access journals are available as an outlet for publication, by examining their distribution in different scientific disciplines, including the distribution of those journals without article processing charges.

The study is based on a systematic comparison between the journals included in the DOAJ, and the journals indexed in the Journal Citation Reports (JCR) Science edition 2013, released by Thomson Reuters.

The impact factor of Open Access (OA) journals was lower than those of other journals by a small but statistically significant amount. Open access journals are present in the upper quartile (by impact factor) of 85 out of 176 (48.8%) categories examined. There were no OA journals with an Impact Factor in only 16 categories (9%).

URL : The presence of High-impact factor Open Access Journals in Science, Technology, Engineering and Medicine (STEM) disciplines

Alternative location : http://leo.cineca.it/index.php/jlis/article/view/11257

Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

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The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines.

We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey.

Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences.

An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities.

Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

URL : Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

DOI : 10.1371/journal.pone.0134826