scholarly journals Research Data Services in European Academic Research Libraries

2017 ◽  
Vol 27 (1) ◽  
pp. 23-44 ◽  
Author(s):  
Carol Tenopir ◽  
Sanna Talja ◽  
Wolfram Horstmann ◽  
Elina Late ◽  
Dane Hughes ◽  
...  
Keyword(s):  
Academic Research ◽  
Research Data ◽  
Data Services ◽  
Research Libraries

scholarly journals European Academic Libraries Offer or Plan to Offer Research Data Services

2018 ◽  
Vol 13 (2) ◽  
pp. 106-108
Author(s):  
Jennifer Kaari
Keyword(s):  
Academic Libraries ◽  
Academic Library ◽  
Academic Research ◽  
Survey Instrument ◽  
Research Data ◽  
Future Research ◽  
Library Directors ◽  
Data Services ◽  
Research Libraries ◽  
Technical Services

A Review of: Tenopir, C., Talja, S., Horstmann, W., Late, E., Hughes, D., Pollock, D., … Allard, S. (2017). Research data services in European academic research libraries. LIBER Quarterly, 27(1), 23-44. https://doi.org/10.18352/lq.10180 Abstract Objective – To investigate the current state of research data services (RDS) in European academic libraries by determining the types of RDS being currently implemented and planned by these institutions. Design – Email survey. Setting – European academic research libraries. Subjects – 333 directors of the Association of European Research Libraries (LIBER) academic member libraries. Methods – The researchers revised a survey instrument previously used for the DataONE survey of North American research libraries and conducted pilot testing with European academic library directors. The survey instrument was created using the Qualtrics software. The revised survey was distributed by email to LIBER institutions identified as academic libraries by the researchers and remained open for 6 weeks. Question topics included demographics, RDS currently offered, RDS planned, staffing considerations, and the director’s opinions on RDS. Libraries from 22 countries participated and libraries were grouped into 4 regions in order to compare regional differences. Data analysis was conducted using Excel, SPSS or R software University of Tennessee, University of Tampere, and University of Göttingen. Main Results – 119 library directors responded to more than one question beyond basic demographics, for a response rate of 35.7%. Among the libraries surveyed, more libraries offer consultative services than offered technical support for RDS, although a majority planned to offer technical services in the future. Geographically, libraries in western Europe offer more RDS compared with other regions. More libraries have reassigned or plan to reassign current staff to support RDS services, rather than hire new staff for these roles. Regardless of whether or not they currently offer RDS, library directors surveyed strongly agree that libraries need to offer RDS to remain relevant. Conclusion – The authors determine that a majority of library directors recognize that data management is increasingly important and many libraries are responding to this by implementing RDS and collaborating across their institutions and beyond to help meet these needs. Future research is suggested to track how these services develop over time, how libraries respond to the staffing challenges of RDS, and whether consultative rather than technical services continue to be primary forms of RDS offered.

Research 2.0 and Research Data Services in academic and research libraries: priority issues

2017 ◽  
Vol 38 (6/7) ◽  
pp. 345-353 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Research Data ◽  
The Body ◽  
Content Type ◽  
Data Services ◽  
Research Libraries ◽  
Data Intensive ◽  
Body Of Knowledge ◽  
Local Environments ◽  
Data Stewardship

Purpose The purpose of this paper is to examine the role of Research Data Services (RDSs), consisting of research data management, data curation and data stewardship, and data literacy education in supporting Research 2.0. Besides this, theory and principles, as well as selected examples of best practices in the relevant fields are presented. Design/methodology/approach A literature-based overview of actual insights on tasks and roles that academic and research libraries have to fulfil in order to react to the developments generated by the appearance and growing importance of Research 2.0 is provided. Taking the wide spectre of related issues into account, the discussion is limited to RDSs. Findings Even though Research 2.0 is evolving in different countries and some local environments in dissimilar ways, its data-intensive nature requires the helping presence of academic libraries and librarians. Being an emerging phenomenon, it will undoubtedly take several different shapes as it works itself out in time, but librarians should try to discover service niches, which may not be covered by other academic organisations, or their coverage is only partial or even unsatisfactory. Research limitations/implications Taking the wide spectre of issues into account, the review of literature is limited to the period between 2014 and 2016. Originality/value The paper intends to add to the body of knowledge about the relationship between RDSs and Research 2.0, as well as about the association between the components of the former.

scholarly journals Building Support for Research Data Management: Biographies of Eight Research Universities

2014 ◽  
Vol 9 (2) ◽  
pp. 171-191 ◽  
Author(s):  
Katherine G. Akers ◽  
Fe C. Sferdean ◽  
Natsuko H. Nicholls ◽  
Jennifer A. Green
Keyword(s):  
Data Management ◽  
Research Universities ◽  
Academic Research ◽  
Research Data ◽  
Research Libraries ◽  
Research Data Management ◽  
Key Steps

Academic research libraries are quickly developing support for research data management (RDM), including both new services and infrastructure. Here, we tell the stories of how eight different universities have developed programs of RDM support, focusing on the prominent role of the library in educating and assisting researchers with managing their data throughout the research lifecycle. Based on these stories, we construct timelines for each university depicting key steps in building support for RDM, and we discuss similarities and dissimilarities among universities in motivation to provide RDM support, collaborations among campus units, assessment of needs and services, and changes in staffing.

scholarly journals The Time Has Come… To Talk About Why Research Data Management Isn’t Easy

2020 ◽  
Author(s):  
Carol Tenopir ◽  
Jordan Kaufman ◽  
Robert J. Sandusky ◽  
Danielle Pollock
Keyword(s):  
Data Management ◽  
Academic Libraries ◽  
Research Data ◽  
Data Services ◽  
Research Libraries ◽  
Research Data Management ◽  
The Future

For the last decade, academic libraries have talked with each other and with potential partners about their roles in helping to manage research data and their plans to expand or initiate research data services (RDS). Libraries have the capacity to provide these services, but the range and maturity of research data services from libraries vary considerably. In summer 2019, our team surveyed a sample of academic libraries of all sizes who are members of the Association of College and Research Libraries (ACRL) to find out about their current RDS and plans for the future. This study is a follow-up to surveys of this same group in 2012 and 2015. Our findings include the types of RDS currently being offered in academic libraries, the barriers that hinder RDS implementation, and staff capacity for creating RDS.

scholarly journals Building professional development opportunities in data services for academic librarians

IFLA Journal ◽  
2016 ◽  
Vol 43 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Suzanna Conrad ◽  
Yasmeen Shorish ◽  
Amanda L. Whitmire ◽  
Patricia Hswe
Keyword(s):  
Professional Development ◽  
Data Management ◽  
Management Practices ◽  
Research Data ◽  
Academic Librarians ◽  
Data Services ◽  
Research Libraries ◽  
Research Data Management ◽  
Needs Assessment Survey ◽  
Insight Into

Research data management represents a significant professional development area for academic librarians – significant for its growing importance to the profession, since researchers are increasingly expected to comply with research data management requirements, and for the extent of competence needed by librarians to support researchers in research data management practices and plans. This article recounts how the Association of College and Research Libraries is fostering professional development opportunities in research data management. The authors describe two key endeavors: (1) the development and deployment of a needs assessment survey, which allowed insight into the types of librarians expressing the most need; and (2) planning and implementation of a pre-conference workshop for ACRL 2015, intended to prototype a future professional development offering. The article concludes by discussing additional assessment that was done following the workshop and how the pre-conference laid the foundation for proposing a “roadshow” for research data management, similar to what the Association of College and Research Libraries sponsors for scholarly communication.

Research Data Services: Partnerships

2022 ◽  
Author(s):  
Ibraheem Ali ◽  
Thea Atwood ◽  
Renata Curty ◽  
Jimmy Ghaphery ◽  
Tim McGeary ◽  
...  
Keyword(s):  
Task Force ◽  
Research Data ◽  
Sustainable Growth ◽  
Research Support ◽  
Data Services ◽  
Research Libraries ◽  
Association Of Research Libraries ◽  
Canadian Association ◽  
The Us ◽  
The Continuum

The Association of Research Libraries (ARL)/Canadian Association of Research Libraries (CARL) Joint Task Force on Research Data Services (RDS) formed in 2020 with a two-fold purpose: (1) to demonstrate and commit to the roles research libraries have in stewarding research data and as part of institution-wide research support services and (2) to guide the development of resources for the ARL and CARL memberships in advancing their organizations as collaborative partners with respect to research data services in the context of FAIR (findable, accessible, interoperable, and reusable) data principles and the US National Academies’ Open Science by Design framework. Research libraries will be successful in meeting these objectives if they act collectively and are deeply engaged with disciplinary communities. The task force formed three working groups of data practitioners, representing a wealth of expertise, to research the institutional landscape and policy environment in both the US and Canada. This report of the ARL/CARL RDS task force’s working group on partnerships highlights library RDS programs’ work with partners and stakeholders. The report provides a set of tools for libraries to use when assessing their RDS partnerships, including assessing partnerships using a partnership life cycle, defining the continuum of possible partnerships, and creating a catalog. Not all partnerships will last the entirety of a librarian’s career, and having clear parameters for when to continue or sunset a partnership can reduce ambiguity and free up resources. Recognizing the continuum of possible partnerships can provide the framework by which librarians can understand the nature of each group. From cyclical to seasonal to sporadic, understanding the needs of a type of partnership can help libraries frame their understanding and meet a group where they are. Finally, creating a catalog of partnerships can help libraries see the landscape of the organization, as well as areas for growth. This approach also aligns with OCLC’s 2020 report on Social Interoperability in Research Support: Cross-Campus Partnerships and the University Research Enterprise, which highlights the necessity of building and stewarding partnerships. Developing and providing services in a decentralized organization relies on the ability to build trusted relationships. These tools will help libraries achieve sustainable growth that is in concert with their partners, generating robust, clearly aligned initiatives that benefit all parties, their campuses, and their communities.

scholarly journals Introduction to the Special Issue on New Longitudinal Data for Retirement Analysis and Policy

2021 ◽  
pp. 1-5
Author(s):  
Marco Angrisani ◽  
Anya Samek ◽  
Arie Kapteyn
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Cost Effective ◽  
Research Data ◽  
Data Sources ◽  
Special Issue ◽  
Administrative Records ◽  
The Past ◽  
Survey Questionnaires ◽  
Internet Panels

The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

Academic librarians and research data services: preparation and attitudes

IFLA Journal ◽  
2013 ◽  
Vol 39 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Carol Tenopir ◽  
Robert J. Sandusky ◽  
Suzie Allard ◽  
Ben Birch
Keyword(s):  
Research Data ◽  
Academic Librarians ◽  
Data Services
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