scholarly journals Lessons Learned From a Research Data Management Pilot Course at an Academic Library

2014 ◽  
Vol 3 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Jennifer Muilenburg ◽  
◽  
Mahria Lebow ◽  
Joanne Rich
Keyword(s):  
Data Management ◽  
Academic Library ◽  
Research Data ◽  
Lessons Learned ◽  
Research Data Management

scholarly journals Research Data Management Initiatives at University of Edinburgh

2011 ◽  
Vol 6 (2) ◽  
pp. 232-244 ◽  
Author(s):  
Robin Rice ◽  
Jeff Haywood
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Academic Staff ◽  
Research Data ◽  
Lessons Learned ◽  
The Public ◽  
Research Data Management ◽  
Online Tools ◽  
University Of Edinburgh ◽  
Future Direction

During the last decade, national and international attention has been increasingly focused on issues of research data management and access to publicly funded research data. The pressure brought to bear on researchers to improve their data management and data sharing practice has come from research funders seeking to add value to expensive research and solve cross-disciplinary grand challenges; publishers seeking to be responsive to calls for transparency and reproducibility of the scientific record; and the public seeking to gain and re-use knowledge for their own purposes using new online tools. Meanwhile higher education institutions have been rather reluctant to assert their role in either incentivising or supporting their academic staff in meeting these more demanding requirements for research practice, partly due to lack of knowledge as to how to provide suitable assistance or facilities for data storage and curation/preservation. This paper discusses the activities and drivers behind one institution’s recent attempts to address this gap, with reflection on lessons learned and future direction.

scholarly journals The CARL Portage Partnership Story

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Charles Humphrey
Keyword(s):  
Data Management ◽  
Academic Library ◽  
Research Data ◽  
Cultural Economic ◽  
Association Of Research Libraries ◽  
Research Data Management ◽  
Transient Nature ◽  
Canadian Association ◽  
Advance Research ◽  
Digital Research

Portage is the research data management initiative of the Canadian Association of Research Libraries and its story has been very much about establishing partnerships in a complex environment to advance research data management services and infrastructure in Canada. Many jurisdictions make up the space in which research data management takes place. A variety of legal, political, cultural, economic, technological, and scientific factors are at play and how they fit together depends on the connections between a number of stakeholders. The levels at which these stakeholders operate and the transient nature of research data itself made the development of partnerships a complex undertaking for Portage. This article describes the building of partnerships in a multi-jurisdictional environment, discusses challenges in operating in Canada's digital research ecosystem, and highlights the importance of working with Canada's regional academic library associations in laying the foundations for digital research infrastructure to support data management. 

scholarly journals Research Librarians’ Experiences of Research Data Management Activities at an Academic Library in a Developing Country

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Johnson Masinde ◽  
Jing Chen ◽  
Daniel Wambiri ◽  
Angela Mumo
Keyword(s):  
Data Management ◽  
Academic Library ◽  
Research Data ◽  
Data Curation ◽  
Collaborative Partnerships ◽  
University Libraries ◽  
Model Framework ◽  
Technological Infrastructure ◽  
Research Data Management ◽  
And Training

Abstract University libraries have archaeologically augmented scientific research by collecting, organizing, maintaining, and availing research materials for access. Researchers reckon that with the expertise acquired from conventional cataloging, classification, and indexing coupled with that attained in the development, along with the maintenance of institutional repositories, it is only rational that libraries take a dominant and central role in research data management and further their capacity as curators. Accordingly, University libraries are expected to assemble capabilities, to manage and provide research data for sharing and reusing efficiently. This study examined research librarians’ experiences of RDM activities at the UON Library to recommend measures to enhance managing, sharing and reusing research data. The study was informed by the DCC Curation lifecycle model and the Community Capability Model Framework (CCMF) that enabled the Investigator to purposively capture qualitative data from a sample of 5 research librarians at the UON Library. The data was analysed thematically to generate themes that enabled the Investigator to address the research problem. Though the UON Library had policies on research data, quality assurance and intellectual property, study findings evidenced no explicit policies to guide each stage of data curation and capabilities. There were also inadequacies in skills and training capability, technological infrastructure and collaborative partnerships. Overall, RDM faced challenges in all the examined capabilities. These challenges limited the managing, sharing, and reusing of research data. The study recommends developing an RDM unit within the UON Library to oversee the implementation of RDM activities by assembling all the needed capabilities (policy guidelines, skills and training, technological infrastructure and collaborative partnerships) to support data curation activities and enable efficient managing, sharing and reusing research data.

scholarly journals Gathering Evidence of Benefits: A Structured Approach from the Jisc Managing Research Data Programme

2013 ◽  
Vol 8 (2) ◽  
pp. 123-133
Author(s):  
Laura Molloy ◽  
Simon Hodson ◽  
Meik Poschen ◽  
Jonathan Tedds
Keyword(s):  
Higher Education ◽  
Data Management ◽  
Research Funding ◽  
Research Data ◽  
Lessons Learned ◽  
Education Sector ◽  
Research Data Management ◽  
The Uk ◽  
Uk Higher Education ◽  
Structured Approach

The work of the Jisc Managing Research Data programme is – along with the rest of the UK higher education sector – taking place in an environment of increasing pressure on research funding. In order to justify the investment made by Jisc in this activity – and to help make the case more widely for the value of investing time and money in research data management – individual projects and the programme as a whole must be able to clearly express the resultant benefits to the host institutions and to the broader sector. This paper describes a structured approach to the measurement and description of benefits provided by the work of these projects for the benefit of funders, institutions and researchers. We outline the context of the programme and its work; discuss the drivers and challenges of gathering evidence of benefits; specify benefits as distinct from aims and outputs; present emerging findings and the types of metrics and other evidence which projects have provided; explain the value of gathering evidence in a structured way to demonstrate benefits generated by work in this field; and share lessons learned from progress to date.

scholarly journals Incorporating Software Curation into Research Data Management Services: Lessons Learned

2018 ◽  
Vol 13 (1) ◽  
pp. 235-247
Author(s):  
Fernando Rios
Keyword(s):  
Data Management ◽  
Research University ◽  
Service Level ◽  
Research Data ◽  
Lessons Learned ◽  
Related Services ◽  
Management Planning ◽  
Research Data Management ◽  
Management Context ◽  
Large Research

Many large research universities provide research data management (RDM) support services for researchers. These may include support for data management planning, best practices (e.g., organization, support, and storage), archiving, sharing, and publication. However, these data-focused services may under-emphasize the importance of the software that is created to analyse said data. This is problematic for several reasons. First, because software is an integral part of research across all disciplines, it undermines the ability of said research to be understood, verified, and reused by others (and perhaps even the researcher themselves). Second, it may result in less visibility and credit for those involved in creating the software. A third reason is related to stewardship: if there is no clear process for how, when, and where the software associated with research can be accessed and who will be responsible for maintaining such access, important details of the research may be lost over time. This article presents the process by which the RDM services unit of a large research university addressed the lack of emphasis on software and source code in their existing service offerings. The greatest challenges were related to the need to incorporate software into existing data-oriented service workflows while minimizing additional resources required, and the nascent state of software curation and archiving in a data management context. The problem was addressed from four directions: building an understanding of software curation and preservation from various viewpoints (e.g., video games, software engineering), building a conceptual model of software preservation to guide service decisions, implementing software-related services, and documenting and evaluating the work to build expertise and establish a standard service level.

scholarly journals Data literacy for researchers and data librarians

2016 ◽  
Vol 49 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Literacy ◽  
Academic Library ◽  
Research Data ◽  
Review Of Literature ◽  
Data Literacy ◽  
Data Intensive ◽  
Research Data Management ◽  
Data Citation

This paper describes data literacy and emphasizes its importance. Data literacy is vital for researchers who need to become data literate science workers and also for (potential) data management professionals. Its important characteristic is a close connection and similarity to information literacy. To support this argument, a review of literature was undertaken on the importance of data, and the data-intensive paradigm of scientific research, researchers’ expected and real behaviour, the nature of research data management, the possible roles of the academic library, data quality and data citation, Besides describing the nature of data literacy and enumerating the related skills, the application of phenomenographic approaches to data literacy and its relationship to the digital humanities have been identified as subjects for further investigation.

scholarly journals Delivering Innovative RDM Training: The immersiveInformatics Pilot Programme

2014 ◽  
Vol 9 (1) ◽  
pp. 313-323 ◽  
Author(s):  
Anna Shadbolt ◽  
Leo Konstantelos ◽  
Liz Lyon ◽  
Marieke Guy
Keyword(s):  
Data Management ◽  
Training Programme ◽  
Professional Staff ◽  
Research Data ◽  
Lessons Learned ◽  
Single Institution ◽  
Pilot Programme ◽  
Research Data Management ◽  
Capability Building ◽  
The University

This paper presents the findings, lessons learned and next steps associated with the implementation of the immersiveInformatics pilot: a distinctive research data management (RDM) training programme designed in collaboration between UKOLN Informatics and the Library at the University of Melbourne, Australia. The pilot aimed to equip a broad range of academic and professional staff roles with RDM skills as a key element of capacity and capability building within a single institution.

Collaboration Between Researchers and Academic Library

2018 ◽  
pp. 1294-1311
Author(s):  
Liisi Lembinen
Keyword(s):  
Data Management ◽  
Research Universities ◽  
Management System ◽  
Academic Library ◽  
Research Data ◽  
Data Management System ◽  
Development Work ◽  
Funding Agency ◽  
Research Data Management ◽  
Management Services

Even though many academic libraries are offering various types of data management services (RDM) and infrastructure, many universities struggle with convincing researchers to publish their data. Collaboration in data management services between libraries, researchers, universities and government is the only way to make research data available and accessible. The purpose of this paper is to demonstrate how initiative from researchers led to wider collaboration between researchers and an academic library and resulted in the development of data management services in the library as well as a country-wide research data management consortium in Estonia. The country-wide research data management system was a requirement of the funding agency which put the library into a new position to initiate and lead work towards research universities' consortium. The development work of RDM services has tremendously raised the library's value as a partner rather than just a service provider in the eyes of researchers.

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