scholarly journals Creating Guidance for Canadian Dataverse Curators: Portage Network’s Dataverse Curation Guide

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Alexandra Cooper ◽  
Michael Steeleworthy ◽  
Ève Paquette-Bigras ◽  
Erin Clary ◽  
Erin MacPherson ◽  
...  
Keyword(s):  
Best Practices ◽  
International Institutions ◽  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
National Network ◽  
Research Data Management ◽  
National Organizations ◽  
French And English ◽  
Support Research

Purpose: This paper introduces the Portage Network’s Dataverse Curation Guide and the new bilingual curation framework developed to support it. Brief Description: Canadian academic institutions and national organizations have been building infrastructure, staffing, and programming to support research data management. Amidst this work, a notable gap emerged between requirements for data curation in general repositories like Dataverse and the requisite workflows and guidance materials needed by curators to meet them. In response, Portage, a national network of data experts, organized a working group to develop a Dataverse curation guide built upon the Data Curation Network’s CURATED workflow. To create a bilingual resource, the original CURATE(D) acronym was modified to CURATION—which has the same meaning in both French and English—and steps were augmented with Dataverse-specific guidance and mapped to three conceptualized levels of curation to assist curators in prioritizing curation actions. Methods: An environmental scan of relevant deposit and curation guidance materials from Canadian and international institutions identified the need for a comprehensive Dataverse Curation Guide, as most existing resources were either depositor-focused or contained only partial workflows. The resulting Guide synthesized these guidance materials into the CURATION steps and mapped actions to various theoretical levels of data repository services and levels of curation. Resources: The following documents are supplemental to the Dataverse Curation Guide: the Portage Dataverse North Metadata Best Practices Guide, the Scholars Portal Dataverse Guide, and the Data Curation Network CURATED Workflow and Data Curation Primers.

scholarly journals Surveying the landscape of CIHR-funded research data sharing practices: An analysis of the published literature

2021 ◽  
Author(s):  
Kevin B Read ◽  
Heather Ganshorn ◽  
Sarah Rutley ◽  
David R. Scott
Keyword(s):  
Best Practices ◽  
Data Sharing ◽  
Descriptive Analysis ◽  
Research Data ◽  
Data Discovery ◽  
Pubmed Central ◽  
Funded Research ◽  
Shared Data ◽  
Research Data Management ◽  
Is Value

Background:As Canada increases requirements for research data management (RDM) and sharing, there is value in identifying how research data are shared, and what has been done to make them findable and reusable. This study aims to understand Canada’s data sharing landscape by reviewing how Canadian Institutes of Health Research (CIHR) funded data are shared, and comparing researchers’ data sharing practices to RDM and sharing best practices. Methods:We performed a descriptive analysis of CIHR-funded publications from PubMed and PubMed Central that were published between 1946 and Dec 31, 2019 and that indicated the research data underlying the results of the publication were shared. Each publication was analyzed to identify how and where data were shared, who shared data, and what documentation was included to support data reuse.Results:Of 4,144 CIHR-funded publications, 45.2% (n=1,876) included accessible data, 21.9% (n=909) stated data were available by request, 7.3% (n=304) stated data sharing was not applicable/possible, and we found no evidence of data sharing in 37.6% (n=1,558) of publications. Frequent data sharing methods included via a repository (n=1,549, 37.3%), within supplementary files (n=1,048, 25.2%), and by request (n=919, 22.1%). 13.1% (n=554) of publications included documentation that would facilitate data reuse.Interpretation:Our findings reveal that CIHR-funded publications largely lack the metadata, access instructions, and documentation to facilitate data discovery and reuse. Without measures to address these concerns, and enhanced support for researchers seeking to implement RDM and sharing best practices, most CIHR-funded research data will remain hidden, inaccessible, and unusable.

scholarly journals bwFDM Communities – a Research Data Management Initiative in the County of Baden-Wuerttemberg, Germany

2014 ◽  
Author(s):  
Karlheinz Pappenberger
Keyword(s):  
Data Management ◽  
Science Research ◽  
Research Data ◽  
Point Of View ◽  
Data Repository ◽  
Full Time ◽  
It Service ◽  
Research Data Management ◽  
Concrete Action ◽  
The University

>> See video of presentation (33 min.)On 29th July 2014 the Ministry of Science, Research and the Arts of Baden-Wuerttemberg, Germany, has launched an e-science initiative to build up a powerful, efficient and innovative information infrastructure for all universities, research institutions and universities of applied science of the county of southwest Germany. With the overall budget of 3.7 million euro action plans within the five areas licensing, digitalization, research data management, open access and virtual research environments shall be worked out within the next years.Within this framework an 18-month project has been launched at the beginning of 2014 to evaluate the needs of services and support libraries and IT service centres should offer for researchers in the area of research data management. In this “bwFDM communities” named project full time key accounters have been established at all 9 universities of the county (Freiburg, Heidelberg, Hohenheim, Karlsruhe, Konstanz, Mannheim, Stuttgart, Tuebingen and Ulm; among them national and international highly ranked universities). The task of the key accounters is to identity concrete needs and requirements of all research groups working with research data (in a broad sense including all areas of science, social science and humanities) at each of the nine universities as well as possible solutions by conducting semi-structured personal interviews and documenting them in the form of user stories. As a result issues of importance and requirements will be identified, categorized and finalized to recommendations for concrete action plans.The presentation will give an overview of the first results of the project, thereby also highlighting the roles libraries and IT service centres are expected to play from the researcher´s point of view. Furthermore the presentation will point out the response of the University of Konstanz Library to the rising awareness of the importance of research data within the University Executive, showing the special efforts the University of Konstanz Library undertakes to support researchers in their research data management so far and to build up more and more expertise in the area of research data management. One step had been the set-up of a disciplinary data repository in the field of ornithology (Movebank data repository).

scholarly journals Research Data Management: A proposed framework to boost research in Higher Educational Institutes.

10.29173/iq12 ◽  
2017 ◽  
Vol 41 (1-4) ◽  
pp. 12
Author(s):  
Bhojaraju Gunjal ◽  
Panorea Gaitanou
Keyword(s):  
Literature Review ◽  
Best Practices ◽  
Data Management ◽  
Skill Development ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Research Activities ◽  
Educational Institute ◽  
Higher Educational

This paper attempts to present a brief overview of several Research Data Management (RDM) issues and a detailed literature review regarding the RDM aspects adopted in libraries globally. Furthermore, it will describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An effort will be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation of RDM processes in the Higher Educational Institute of India, referring particularly to the Central Library @ NIT Rourkela in Odisha, India with a proposed framework. Finally, this study will also propose an area of opportunities that can boost research activities in the Institute.

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 Influencing Factors in Determining Research Data Repository Infrastructure for Research Data Management

2019 ◽  
Vol 9 (1) ◽  
pp. 1655-1660
Keyword(s):  
Influencing Factors ◽  
Research Data ◽  
Higher Learning ◽  
Data Repository ◽  
Infrastructure Development ◽  
Electronic Journal ◽  
Research Papers ◽  
Research Data Management ◽  
Data Life Cycle ◽  
Learning Institutions

Increasing volumes of data are rapidly being produced by researchers with the advancement of digital technologies. In order to manage these data, a suitable research data repository infrastructure is needed by the higher learning institutions. Apart from storing the data, these data repository need to support the research data life-cycle that include the tasks of data creation, processing, analysis, preservation, access and reuse. The objective of this research is to deeply investigate the influencing factors fordata repository infrastructure in managing research data. A systematic literature review is conducted to perform the investigation where research papers are searched over three electronic journal databases. Selected papers are then analysed and a quality assessment has been conducted to identify the relevant infrastructure for research data repository. As a result, we identified the important components of research data repository infrastructure development.

scholarly journals Kutatási adatkezelést támogató szolgáltatás a Szegedi Tudományegyetemen

2021 ◽  
Author(s):  
Rozália Zeller ◽  
Szabolcs Hoczopán ◽  
Gyula Nagy
Keyword(s):  
Data Management ◽  
Research Community ◽  
Research Data ◽  
Data Repository ◽  
Institutional Research ◽  
Research Data Management ◽  
International Trends ◽  
Professional Assistance ◽  
Management Recommendations ◽  
The University

Following the national and international trends in mid-2020 the Klebelsberg Kuno Library of the University of Szeged has also started to deal with the issue of research data management. After thorough self-training the library staff studied the Hungarian and international best practices of managing research data. We tried to assess the needs of the institutional research data management habits and the opinion of the researchers of SZTE with a comprehensive questionnaire. We compiled a comprehensive questionnaire to assess the needs of our researchers, learn what they’re thinking about RDM and what kind of practices regarding RDM already exist in the research community. By evaluating the questionnaire we have determined the areas in which the library could provide professional assistance where there was a real need among researchers. Keeping in mind the needs of the research community of University of Szeged we have decided to develop the following services: copyright consulting, RDM trainings for PhD students, theoretical and methodological assistance for RDM, write institutional FAIR data management recommendations. The last four services have been successfully implemented. We also wrote a feasibility study to assess the possibilities of developing our own institutional data repository.

scholarly journals Disciplinary differences in faculty research data management practices and perspectives

2013 ◽  
Vol 8 (2) ◽  
pp. 5-26 ◽  
Author(s):  
Katherine G. Akers ◽  
Jennifer Doty
Keyword(s):  
Data Management ◽  
Research University ◽  
Management Practices ◽  
Research Data ◽  
Data Curation ◽  
Academic Librarians ◽  
Disciplinary Differences ◽  
Research Data Management ◽  
Management Actions ◽  
Research Domains

Academic librarians are increasingly engaging in data curation by providing infrastructure (e.g., institutional repositories) and offering services (e.g., data management plan consultations) to support the management of research data on their campuses. Efforts to develop these resources may benefit from a greater understanding of disciplinary differences in research data management needs. After conducting a survey of data management practices and perspectives at our research university, we categorized faculty members into four research domains—arts and humanities, social sciences, medical sciences, and basic sciences—and analyzed variations in their patterns of survey responses. We found statistically significant differences among the four research domains for nearly every survey item, revealing important disciplinary distinctions in data management actions, attitudes, and interest in support services. Serious consideration of both the similarities and dissimilarities among disciplines will help guide academic librarians and other data curation professionals in developing a range of data-management services that can be tailored to the unique needs of different scholarly researchers.

scholarly journals Researchers at Arab Universities Hold Positive Views on Research Data Management and Data Sharing

2020 ◽  
Vol 15 (2) ◽  
pp. 168-170
Author(s):  
Jennifer Kaari
Keyword(s):  
Data Management ◽  
Data Sharing ◽  
Data Privacy ◽  
Management Practices ◽  
Open Data ◽  
Scientific Progress ◽  
Management Plan ◽  
Research Data ◽  
Data Repository ◽  
Research Data Management

A Review of: Elsayed, A. M., & Saleh, E. I. (2018). Research data management and sharing among researchers in Arab universities: An exploratory study. IFLA Journal, 44(4), 281–299. https://doi.org/10.1177/0340035218785196 Abstract Objective – To investigate researchers’ practices and attitudes regarding research data management and data sharing. Design – Email survey. Setting – Universities in Egypt, Jordan, and Saudi Arabia. Subjects – Surveys were sent to 4,086 academic faculty researchers. Methods – The survey was emailed to faculty at three Arab universities, targeting faculty in the life sciences and engineering. The survey was created using Google Docs and remained open for five months. Participants were asked basic demographic questions, questions regarding their research data and metadata practices, and questions regarding their data sharing practices. Main Results – The authors received 337 responses, for a response rate of 8%. The results showed that 48.4% of respondents had a data management plan and that 97% were responsible for preserving their own data. Most respondents stored their research data on their personal storage devices. The authors found that 64.4% of respondents reported sharing their research data. Respondents most frequently shared their data by publishing in a data research journal, sharing through academic social networks such as ResearchGate, and providing data upon request to peers. Only 5.1% of respondents shared data through an open data repository.  Of those who did not share data, data privacy and confidentiality were the most common reasons cited. Of the respondents who did share their data, contributing to scientific progress and increased citation and visibility were the primary reasons for doing so. A total of 59.6% of respondents stated that they needed more training in research data management from their universities. Conclusion – The authors conclude that researchers at Arab universities are still primarily responsible for their own data and that data management planning is still a new concept to most researchers. For the most part, the researchers had a positive attitude toward data sharing, although depositing data in open repositories is still not a widespread practice. The authors conclude that in order to encourage strong data management practices and open data sharing among Arab university researchers, more training and institutional support is needed.

scholarly journals Research Data Management Implementation at Peking University Library: Foster and Promote Open Science and Open Data

2021 ◽  
Vol 3 (1) ◽  
pp. 189-204
Author(s):  
Hua Nie ◽  
Pengcheng Luo ◽  
Ping Fu
Keyword(s):  
Data Management ◽  
Open Data ◽  
Implementation Process ◽  
Open Science ◽  
Research Data ◽  
Data Repository ◽  
Research Data Management ◽  
University Library ◽  
Open Research ◽  
Peking University

Research Data Management (RDM) has become increasingly important for more and more academic institutions. Using the Peking University Open Research Data Repository (PKU-ORDR) project as an example, this paper will review a library-based university-wide open research data repository project and related RDM services implementation process including project kickoff, needs assessment, partnerships establishment, software investigation and selection, software customization, as well as data curation services and training. Through the review, some issues revealed during the stages of the implementation process are also discussed and addressed in the paper such as awareness of research data, demands from data providers and users, data policies and requirements from home institution, requirements from funding agencies and publishers, the collaboration between administrative units and libraries, and concerns from data providers and users. The significance of the study is that the paper shows an example of creating an Open Data repository and RDM services for other Chinese academic libraries planning to implement their RDM services for their home institutions. The authors of the paper have also observed since the PKU-ORDR and RDM services implemented in 2015, the Peking University Library (PKUL) has helped numerous researchers to support the entire research life cycle and enhanced Open Science (OS) practices on campus, as well as impacted the national OS movement in China through various national events and activities hosted by the PKUL.

scholarly journals Implementing and Managing a Data Curation Workflow in the Cloud

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Fernando Rios ◽  
Chun Ly
Keyword(s):  
Best Practices ◽  
Academic Library ◽  
Application Programming Interface ◽  
Data Curation ◽  
Data Repository ◽  
Data Repositories ◽  
Institutional Data ◽  
High Resource ◽  
Service Oriented ◽  
The Cost

Objective: To increase data quality and ensure compliance with appropriate policies, many institutional data repositories curate data that is deposited into their systems. Here, we present our experience as an academic library implementing and managing a semi-automated, cloud-based data curation workflow for a recently launched institutional data repository. Based on our experiences we then present management observations intended for data repository managers and technical staff looking to move some or all of their curation services to the cloud. Methods: We implemented tooling for our curation workflow in a service-oriented manner, making significant use of our data repository platform’s application programming interface (API). With an eye towards sustainability, a guiding development philosophy has been to automate processes following industry best practices while avoiding solutions with high resource needs (e.g., maintenance), and minimizing the risk of becoming locked-in to specific tooling. Results: The initial barrier for implementing a data curation workflow in the cloud was high in comparison to on-premises curation, mainly due to the need to develop in-house cloud expertise. However, compared to the cost for on-premises servers and storage, infrastructure costs have been substantially lower. Furthermore, in our particular case, once the foundation had been established, a cloud approach resulted in increased agility allowing us to quickly automate our workflow as needed. Conclusions: Workflow automation has put us on a path toward scaling the service and a cloud based-approach has helped with reduced initial costs. However, because cloud-based workflows and automation come with a maintenance overhead, it is important to build tooling that follows software development best practices and can be decoupled from curation workflows to avoid lock-in.

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