scholarly journals Adding Value by Taking a National and Institutional Approach to Research Data: The ANDS Experience

2013 ◽  
Vol 8 (2) ◽  
pp. 89-98 ◽  
Author(s):  
David Groenewegen ◽  
Andrew Treloar

The Australian National Data Service (ANDS) has been working to add value to Australia’s research data environment since 2009. This paper looks at the changes that have occurred over this time, ANDS’ role in those changes and the current state of the Australian research sector at this time, using case studies of selected institutions.

2008 ◽  
Vol 3 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Andrew Treloar ◽  
Ross Wilkinson

Much work on data repositories has derived from effort on document repositories. It is our contention that people do not access research data for the same reasons that they access research publications. We argue that it is valuable to understand information needs, both immediate and contextual, in establishing both what information should be collected, what metadata are captured, and what discovery services should be established. We report on the information needs that we have collected in our efforts in establishing the Australian National Data Service. These needs cover much more than data – there are needs for information about the data, their creators, a need for overviews, and further requirements to do with proof, collaboration, and innovation. We provide an analysis of those needs, and a set of conclusions that has led to some implementation decisions for ANDS.


2017 ◽  
Vol 35 (4) ◽  
pp. 783-797 ◽  
Author(s):  
Holly H. Yu

Purpose Propelled by fast-evolving computational technology and cloud-based data storage, the increasing ease in research data collection is outstripping the capacity in research data service (RDS) in academic institutions. To illustrate the challenges and opportunities in providing RDS, the author provides a systematic review of the RDS offered in academic institutions and libraries by combining existing literature and survey data collected from the Association of Research Libraries (ARL) and the Association of College and Research Libraries (ACRL). In addition, the RDS websites of 2013 ARL survey-participating institutions are also examined. The aim of the paper is to provide an environmental scan of the current state of RDS provision in academic institutions, to add to the body of knowledge of RDS development, and to inform and enable academic libraries to make strategic RDS plans. Design/methodology/approach The paper analyzes the strategies used and levels of RDS provided by reviewing recent literature, exploiting existing survey data from ARL and ACRL, and examining RDS websites of the 2013 ARL survey-participating institutions, in areas that reflect the life cycle of RDS provision including research data management planning, metadata consultation and tool provision, data archiving, institutional repository provision and data sharing and access. Findings The overall offerings of the library-led research data services in ARL research-intensive institutions have shown signs of increasing. Increased engagement and expanded scope and level of services are two noticeable trends in academic library RDS provision. Academic libraries are taking advantage of open access repositories by advising researchers to use the available resources alongside their local repositories for data safe-keeping and sharing. Discussions on RDS policy and infrastructure development are inadequate or largely non-existent. Originality/value Through systematically reviewing current literature, drawing on the results of available surveys on RDS offerings by academic libraries conducted between 2009 and 2014 and examining and further reviewing the websites of these 2013 ARL survey-participating institutions, the author presents the current state of academic library activities in RDS provision, and provides a critical evaluation of the scope and level of services currently being offered in academic libraries, and the opportunities in RDS development, to add to the body of knowledge of RDS provision by academic institutions.


2017 ◽  
Vol 36 (1) ◽  
Author(s):  
Johanna Lilja

This report summarises the papers and discussions presented at the Scholarly Journals and Research Data Seminar organised by the Federation of Finnish Learned Societies and the Finnish Association for Scholarly Publishing in February 2017. Stricter policies on storing research data in repositories and opening it are now being implemented. In fact, 27 per cent of research funders now require data archiving, including the Academy of Finland. The seminar brought together funders, researchers and representatives from journals and data archives to discuss how archiving and opening data should be carried out and the role played by journals. The questions asked included: Should journals require their authors to link their text to research data or should they only encourage such action? Should journals guide their authors to use central national or international data archives or should they establish their own separate data repositories, for example in connection with the Finnish national data service IDA?


2018 ◽  
Vol 3 (1) ◽  
pp. 36
Author(s):  
Weiling Liu

It has been a decade since Tim Berners-Lee coined Linked Data in 2006. More and more Linked Data datasets have been made available for information retrieval on the Web.  It is essential for librarians, especially academic librarians, to keep up with the state of Linked Data.  There is so much information about Linked Data that one may wonder where to begin when they want to join the Linked Data community. With this in mind, the author compiled this annotated bibliography as a starter kit.  Due to the many resources available, this list focuses on literature in English only and of specific projects, case studies, research studies, and tools that may be helpful to academic librarians, in addition to the overview of Linked Data concept and the current state of Linked Data evolution and adoption.


Author(s):  
Andy Shih ◽  
Arthur Choi ◽  
Adnan Darwiche

We propose an approach for explaining Bayesian network classifiers, which is based on compiling such classifiers into decision functions that have a tractable and symbolic form. We introduce two types of explanations for why a classifier may have classified an instance positively or negatively and suggest algorithms for computing these explanations. The first type of explanation identifies a minimal set of the currently active features that is responsible for the current classification, while the second type of explanation identifies a minimal set of features whose current state (active or not) is sufficient for the classification. We consider in particular the compilation of Naive and Latent-Tree Bayesian network classifiers into Ordered Decision Diagrams (ODDs), providing a context for evaluating our proposal using case studies and experiments based on classifiers from the literature.


2021 ◽  
Vol 16 (1) ◽  
pp. 78-90
Author(s):  
Felicity Tayler ◽  
Maziar Jafary

Objective – In consideration of emerging national Research Data Management (RDM) policy and infrastructure, this literature review seeks answers to the following questions: 1) What is the most effective way for a Canadian research university to build capacity among library and campus-wide research support staff, with a view towards providing coordinated RDM support services for our researcher community?2) What international training models and course offerings are available and appropriate for a local context?3) What national guidelines and best practices for pedagogical design and delivery can be adapted for a local context? Methods – This literature review synthesizes a total of 13 sources: 9 articles, 2 book chapters, and 2 whitepapers. The whitepapers were selected for a narrative literature review because of their focus on case studies detailing train-the-trainer models. Within the 13 sources we found 14 key case studies. This review serves as a supplement to the 2017 CARL Portage Training Expert Group white paper, “Research Data Management Training Landscape in Canada,” the focus of which was to identify RDM training gaps in order to recommend a coordinated approach to RDM training in a national environment. Results – The narrative review of case studies revealed three thematic areas. Firstly, pedagogical challenges were identified, including the need to target training to RDM support staff such as librarians and researchers, as they comprise distinct groups of trainees with divergent disciplinary vocabularies and incentives for training. Secondly, the case studies cover a broad range of pedagogical models including single or multiple sessions, self-directed or instructor-led, in-person or online instruction, and a hybrid of the two. Finally, RDM training also emerged as a key factor in community building within library staff units, among service units on campus, and with campus research communities. Conclusion – RDM training programs at local institutions should be guided by a set of principles aligned with the training methods, modes of assessment, and infrastructure development timeline outlined in a national training strategy. When adapting principles and training strategies to a local context, the following trends in the literature should be considered: librarians and researchers must have meaningful incentives to undertake training in RDM or to join a community of practice; disciplinary-specific instruction is preferable to general instruction; a librarian’s own training opportunities will influence their ability to provide discipline-specific RDM instruction to researchers; in-person training opportunities improve learning retention and produce beneficial secondary effects, whereas online instruction is most effective when paired with an in-person component; generalized third-party RDM training should be adapted to local context to be meaningful. Future directions for RDM training will integrate into open access and digital scholarship training, and into cross-disciplinary, open science communities of practice.


2012 ◽  
Vol 7 (2) ◽  
pp. 64-67 ◽  
Author(s):  
Neil Beagrie ◽  
Monica Duke ◽  
Catherine Hardman ◽  
Dipak Kalra ◽  
Brian Lavoie ◽  
...  

This paper provides an overview of the KRDS Benefit Analysis Toolkit. The Toolkit has been developed to assist curation activities by assessing the benefits associated with the long-term preservation of research data. It builds on the outputs of the Keeping Research Data Safe (KRDS) research projects and consists of two tools: the KRDS Benefits Framework, and the Value-chain and Benefits Impact tool. Each tool consists of a more detailed guide and worksheet(s). Both tools have drawn on partner case studies and previous work on benefits and impact for digital curation and preservation. This experience has provided a series of common examples of generic benefits that are employed in both tools for users to modify or add to as required.


10.29173/iq91 ◽  
2001 ◽  
Vol 25 (3) ◽  
pp. 13
Author(s):  
Yvette Hackett

A National Research Data Management Strategy for Canada: The Work of the National Data Archive Consultation Working Group


Author(s):  
Elizabeth Fife ◽  
Laura Hosman

This paper analyses the recent phenomenon of private/public partnerships (PPPs) in the ICT sector of the developing world. The partners may come to these projects with divergent motivations: profit on the one hand and the provision of public services on the other, but at the end of the day, the interests of the partners that are symbiotic can – and indeed should – be aligned to ensure successful long-term projects. To investigate what can be done to promote successful and sustainable PPPs, this paper extends the traditional two-actor analysis to include both a third-party non-profit-oriented facilitating organization and the technology recipients that are the targets of these projects. Following an overview of the current state of PPPs in the developing world, the paper provides two case studies, based in Vietnam, where all four of the above-mentioned stakeholders were involved. The cases reveal important success factors that can be applied to future PPPs in the ICT sector.


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