scholarly journals Establishing a Research Data Management Service on a Health Sciences Campus

2019 ◽  
Vol 8 (1) ◽  
pp. e1146 ◽  
Author(s):  
Kathryn Vela ◽  
Nancy Shin
Keyword(s):  
Data Management ◽  
Health Sciences ◽  
Research Data ◽  
Management Service ◽  
Research Data Management

scholarly journals Building a research data management service for the London school of hygiene & tropical medicine

2015 ◽  
Vol 49 (4) ◽  
pp. 424-439 ◽  
Author(s):  
Gareth Knight
Keyword(s):  
Data Management ◽  
Research Data ◽  
Tropical Medicine ◽  
Limited Resources ◽  
London School ◽  
Management Service ◽  
Content Type ◽  
Research Data Management ◽  
Time Investment

Purpose – The purpose of this paper is to present a case study of work performed at the London School of Hygiene and Tropical Medicine to set-up a Research Data Management Service and tailor it to the needs of health researchers. Design/methodology/approach – The paper describes the motivations for establishing the RDM Service and outlines the three objectives that were set to improve data management practice within the institution. Each of the objectives are explored in turn, stating how they were addressed. Findings – A university with limited resources can operate a RDM Service that pro-actively supports researchers wishing to manage research data by monitoring evolving support needs, identifying common trends and developing resources that will reduce the time investment needed. The institution-wide survey identified a need for guidance on developing data documentation and archiving research data following project completion. Analysis of ongoing support requests identifies a need for guidance on data management plans and complying with journal sharing requirements. Research limitations/implications – The paper provides a case study of a single institution. The results may not be generally applicable to universities that support other disciplines. Practical implications – The case study may be helpful in helping other universities to establish an RDM Service using limited resources. Originality/value – The paper outlines how the evolving data management needs of public health researchers can be identified and a strategy that can be adopted by an RDM Service to efficiently address these requirements.

scholarly journals Towards a metadata-driven multi-community research data management service

2017 ◽  
Author(s):  
Richard Grunzke ◽  
Volker Hartmann ◽  
Thomas Jejkal ◽  
Ajinkya Prabhune ◽  
Hendrik Herold ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Community Research ◽  
Generic Programming ◽  
Management Service ◽  
Web Interface ◽  
Daily Work ◽  
Is Research ◽  
Research Data Management ◽  
Programming Interface

Nowadays, the daily work of many research communities is characterized by an increasing amount and complexity of data. This makes it increasingly difficult to manage, access and utilize to ultimately gain scientific insights based on it. At the same time, domain scientists want to focus on their science instead of IT. The solution is research data management in order to store data in a structured way to enable easy discovery for future reference. An integral part is the use of metadata. With it, data becomes accessible by its content instead of only its name and location. The use of metadata shall be as automatic and seamless as possible in order to foster a high usability. Here we present the architecture and initial steps of the MASi project with its aim to build a comprehensive research data management service. First, it extends the existing KIT Data Manager framework by a generic programming interface and by a generic graphical web interface. Advanced additional features includes the integration of provenance metadata and persistent identifiers. The MASi service aims at being easily adaptable for arbitrary communities with limited effort. The requirements for the initial use cases within geography, chemistry and digital humanities are elucidated. The MASi research data management service is currently being built up to satisfy these complex and varying requirements in an efficient way.

scholarly journals Expanding the Research Data Management Service Portfolio at Bielefeld University According to the Three-pillar Principle Towards Data FAIRness

2019 ◽  
Vol 18 ◽  
Author(s):  
Jochen Schirrwagen ◽  
Philipp Cimiano ◽  
Vidya Ayer ◽  
Christian Pietsch ◽  
Cord Wiljes ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Service ◽  
Research Data Management ◽  
Service Portfolio

scholarly journals Creating a Research Data Management Service

2013 ◽  
Vol 8 (2) ◽  
pp. 146-156
Author(s):  
Thomas Parsons
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Service ◽  
Research Data Management ◽  
Lessons Learnt ◽  
Requirements Gathering ◽  
The Creation ◽  
The University

This paper provides an overview of the elements required to create a sustainable research data management (RDM) service. The paper summarises key learning and lessons learnt from the University of Nottingham’s project to create an RDM service for researchers. Collective experiences and learning from three key areas are covered, including: data management requirements gathering and validation, RDM training, and the creation of an RDM website.

scholarly journals Health Sciences Libraries Advancing Collaborative Clinical Research Data Management in Universities

2018 ◽  
Vol 7 (2) ◽  
pp. e1130
Author(s):  
Tania Bardyn ◽  
◽  
Emily Patridge ◽  
Michael Moore ◽  
Jane Koh ◽  
...  
Keyword(s):  
Clinical Research ◽  
Data Management ◽  
Health Sciences ◽  
Research Data ◽  
Research Data Management ◽  
Clinical Research Data

scholarly journals A Pilot to Initiate Research Data Management Services Within Academic Libraries Helps Librarians to Learn About, Engage With, and Enhance Skills Within Their Research Communities

2021 ◽  
Vol 16 (1) ◽  
pp. 104-106
Author(s):  
Joanne M. Muehllenbach
Keyword(s):  
Data Management ◽  
Academic Libraries ◽  
Pilot Project ◽  
Health Sciences ◽  
Research Data ◽  
Data Series ◽  
Pilot Program ◽  
Research Data Management ◽  
Educational Modules ◽  
Management Services

A Review of: Read, K. B, Koos, J., Miller, R. S., Miller, C. F., Phillips, G. A., Scheinfeld, L., & Surkis, A. (2019). A model for initiating research data management services at academic libraries. Journal of the Medical Library Association, 107(3), 432–441. https://doi.org/10.5195/jmla.2019.545 Abstract Objectives – To initiate or expand research data management (RDM) services within the participating libraries serving health sciences populations. Design – Case report. Setting – Six institutions consisting of three academic health sciences and three university libraries within the National Network of Libraries of Medicine Middle Atlantic Region in the United States of America. Subjects – Between two and eight librarians participated from each institution, for a total of twenty-six librarian participants.  Methods – Pre-pilot phone interviews were conducted and included open-ended questions about RDM services, the library’s motivation for participating, and their degree of institutional commitment. To deepen their understanding of RDM, the participants were required to complete eight educational modules that included text, videos, and quizzes. The participating institutions received data interview questions to connect with their research community to be better informed about their attitudes, language, and practices. The participants also received a Teaching Toolkit, complete with slides, a script, and an attendee evaluation form. The participants were provided with a data series, consisting of branded classes for teaching over a designated period with instructors from within and outside of the library. Collaboration with library partners was encouraged as was the use of a focused marketing plan. In fact, a major component of the pilot was the expert support, provided through biweekly meetings that included marketing tips and presentations on such topics as clinical research data management and data visualization.  Finally, post-pilot program interviews were conducted, and the open-ended questions covered the pilot program as a whole and its individual components. Main Results – Of the six participating institutions, five institutions rated the RDM educational modules very positively. Conducting data interviews was valuable for all six institutions because it allowed the librarians to meet with researchers, build relationships, and use what they learned to develop RDM services for the future. The Teaching Toolkit was rated positively by the six institutions, especially for its adaptability, the time saved over developing the content from scratch, and its usability. Finally, the two institutions that held the data series courses stated that the series succeeded in further marketing the RDM services developed by the library.  Conclusion – The pilot project met its objectives: the librarians at the participating institutions completed the educational modules, administered the data interviews, and taught an RDM foundations class based on the Teaching Toolkit. In addition, a data series was hosted at two institutions. The components of the pilot project had the intended results at each institution, and the classes were reviewed favorably. Based on the pilot participants’ positive outcomes, the authors are certain that the freely available program materials would achieve success elsewhere.

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