scholarly journals Implicit consequentiality bias in English: A corpus of 300+ verbs

2020 ◽  
Author(s):  
Alan Garnham ◽  
Svenja Vorthmann ◽  
Karolina Kaplanova
Keyword(s):  
Social Psychology ◽  
Emotional Valence ◽  
Research Data ◽  
Sentence Completion ◽  
Data Repository ◽  
Future Studies ◽  
Semantic Class ◽  
Supplementary Material ◽  
Implicit Causality ◽  
The University

AbstractThis study provides implicit verb consequentiality norms for a corpus of 305 English verbs, for which Ferstl et al. (Behavior Research Methods, 43, 124-135, 2011) previously provided implicit causality norms. An online sentence completion study was conducted, with data analyzed from 124 respondents who completed fragments such as “John liked Mary and so…”. The resulting bias scores are presented in an Appendix, with more detail in supplementary material in the University of Sussex Research Data Repository (via 10.25377/sussex.c.5082122), where we also present lexical and semantic verb features: frequency, semantic class and emotional valence of the verbs. We compare our results with those of our study of implicit causality and with the few published studies of implicit consequentiality. As in our previous study, we also considered effects of gender and verb valence, which requires stable norms for a large number of verbs. The corpus will facilitate future studies in a range of areas, including psycholinguistics and social psychology, particularly those requiring parallel sentence completion norms for both causality and consequentiality.

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 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 DUnAS: primeiros passos na criação do Repositório de Dados de Investigação da Universidade de Aveiro

2020 ◽  
pp. 207-210
Author(s):  
Bella Nolascob ◽  
Cecília Reis ◽  
Cristina Cortês ◽  
Diana Silva ◽  
José Carvalho ◽  
...  
Keyword(s):  
Research Data ◽  
Document Management ◽  
Data Repository ◽  
Communication Services ◽  
The Creation ◽  
Technology And Communication ◽  
Definition Of ◽  
The University ◽  
Publication Workflow ◽  
Selection Of

In June 2019, the University of Aveiro (UA), through the Library, Document Management and Museology Services and the Information Technology and Communication Services, in collaboration with the Research Support Office, took the first steps regarding the creation of the University of Aveiro Research Data Repository - DUnAs. The project aims to implement an open repository for the archive and publication of research data, promoting its visibility, impact and reproducibility. This work intends to highlight the strategy adopted while setting up the repository based on Dataverse, an open source platform, and the respective helpdesk service, addressing the initiatives and the phases for its implementation. The results obtained in the analysis of the Dataverse platform and the contact with researchers through the selection of pilot projects led to the definition of the deposit – curation – publication workflow and allowed the creation of a service adapted to the community.

scholarly journals The Administrative Load of Sharing Sensitive Data - Challenges and Solutions?

2019 ◽  
Vol 13 (1) ◽  
pp. 373-384
Author(s):  
Kirsty Merrett ◽  
Zosia Beckles ◽  
Stephen Gray ◽  
Debra Hiom ◽  
Kellie Snow ◽  
...  
Keyword(s):  
Data Sharing ◽  
Research Data ◽  
Data Repository ◽  
Sensitive Data ◽  
Ethical Implications ◽  
Ethical Approval ◽  
University Of Bristol ◽  
The University ◽  
Administrative Tasks

Sharing data openly has become a straightforward process at the University of Bristol. The University’s top funders mandate or recommend data sharing as a condition of funding, and many publishers require access to research data to enable results of published articles to be verified. The University has provided a dedicated data repository to support this since 2015, and demand for open publication has risen steadily since its inception. However, an increasing number of requests for sharing data relate to data that has ethical, legal or commercial sensitivities and so cannot be published openly. Rather than discuss the wide-ranging ethical implications of data sharing, this practice paper will focus on the secure sharing of sensitive data that has ethical approval and, where required, has the necessary consent in place, from the perspective of an institution that has already decided to undertake the work inherent in sharing sensitive data. The specific purpose is to detail the workflow and administrative tasks integral in this and to highlight the types of challenges encountered.

scholarly journals Responding to Reality: Evolving Curation Practices and Infrastructure at the University of Illinois at Urbana-Champaign

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Hoa Q. Luong ◽  
Colleen Fallaw ◽  
Genevieve Schmitt ◽  
Susan M. Braxton ◽  
Heidi Imker
Keyword(s):  
Data Sharing ◽  
Positive Impact ◽  
Data Bank ◽  
Research Data ◽  
Data Reuse ◽  
Data Repository ◽  
Data Service ◽  
University Of Illinois ◽  
Service Offering ◽  
The University

Objective: The Illinois Data Bank provides Illinois researchers with the infrastructure to publish research data publicly. During a five-year review of the Research Data Service at the University of Illinois at Urbana-Champaign, it was recognized as the most useful service offering in the unit. Internal metrics are captured and used to monitor the growth, document curation workflows, and surface technical challenges faced as we assist our researchers. Here we present examples of these curation challenges and the solutions chosen to address them. Methods: Some Illinois Data Bank metrics are collected internally by within the system, but most of the curation metrics reported here are tracked separately in a Google spreadsheet. The curator logs required information after curation is complete for each dataset. While the data is sometimes ambiguous (e.g., depending on researcher uptake of suggested actions), our curation data provide a general understanding about our data repository and have been useful in assessing our workflows and services. These metrics also help prioritize development needs for the Illinois Data Bank. Results and Conclusions: The curatorial services polish and improve the datasets, which contributes to the spirit of data reuse. Although we continue to see challenges in our processes, curation makes a positive impact on datasets. Continued development and adaptation of the technical infrastructure allows for an ever-better experience for the curators and users. These improvements have helped our repository more effectively support the data sharing process by successfully fostering depositor engagement with curators to improve datasets and facilitating easy transfer of very large files.

scholarly journals Extending Support for Publishing Sensitive Research Data at the University of Bristol

2020 ◽  
Vol 15 (1) ◽  
pp. 5
Author(s):  
Zosia Beckles
Keyword(s):  
Academic Staff ◽  
Research Data ◽  
Data Repository ◽  
Sensitive Data ◽  
Extensive Experience ◽  
Parents And Children ◽  
Access To Data ◽  
Additional Support ◽  
University Of Bristol ◽  
The University

The University of Bristol Research Data Service was set up in 2014 to provide support and training for academic staff and postgraduate researchers in all aspects of research data management. As part of this, the data.bris Research Data Repository was developed to provide a publication platform for research data generated at the University of Bristol. Initially launched in 2015 to provide open access to data, since 2017 it has also been possible to publish access-controlled datasets containing sensitive data via this platform. The vast majority (90%) of datasets published are openly accessible, but there has been steady demand for access-controlled release of datasets containing information that is ethically or commercially sensitive. These cases require careful management of additional risk: for example, where datasets contain information on human participants, balancing the risk of re-identification with the need to provide robust data that maximises research value through re-use. Many groups within the University of Bristol (for example, the Avon Longitudinal Study of Parents and Children) have extensive experience and expertise in this area, but it became apparent that there was a need to provide additional support for researchers who were not able to draw on the experience of these established groups. This practice paper describes the process of setting up a dedicated service to provide training and basic disclosure risk assessments in order to address these skills gaps, and outlines lessons learnt and future directions for the service.

scholarly journals A Proposed Integration Architecture for University Research Data Repository to Support University and University Hospital on Medical Digital Image Management and Analytics using Hadoop

2021 ◽  
Vol 12 (3) ◽  
pp. 2077-2082
Author(s):  
Iskandar Ishak Et.al
Keyword(s):  
Big Data ◽  
Research Data ◽  
University Hospital ◽  
Data Repository ◽  
Digital Image Management ◽  
Integration Architecture ◽  
Data Platform ◽  
Data Architecture ◽  
Site Access ◽  
The University

Big Data has been used in university and hospital due to its enormous potential in managing large volume and many types of data. However, university that also has hospitals may need to integrate their data repository to have a single site access for easier system administration and management. The needs of image analytics for both researchers in the university and physicians in the university hospital demand the need of Big Data platform such as Hadoop framework. Based on the literatures, there are no papers that describe in detail the integration of big data for university, which include its own teaching hospital. Therefore, this paper focuses on the proposed research data architecture for university and university hospital to support data repository for both with capability of image analytics using Hadoop technology.

scholarly journals Implementing the Research Data Management Policy: University of Edinburgh Roadmap

2013 ◽  
Vol 8 (2) ◽  
pp. 194-204 ◽  
Author(s):  
Robin Rice ◽  
Çuna Ekmekcioglu ◽  
Jeff Haywood ◽  
Sarah Jones ◽  
Stuart Lewis ◽  
...  
Keyword(s):  
Data Management ◽  
Research Data ◽  
Management Policy ◽  
Data Repository ◽  
Research Data Management ◽  
Steering Group ◽  
Pilot Work ◽  
International Setting ◽  
University Of Edinburgh ◽  
The University

This paper discusses work to implement the University of Edinburgh Research Data Management (RDM) policy by developing the services needed to support researchers and fulfil obligations within a changing national and international setting. This is framed by an evolving Research Data Management Roadmap and includes a governance model that ensures cooperation amongst Information Services (IS) managers and oversight by an academic-led steering group. IS has taken requirements from research groups and IT professionals, and at the request of the steering group has conducted pilot work involving volunteer research units within the three colleges to develop functionality and presentation for the key services. The first pilots cover three key services: the data store, a customisation of the Digital Curation Centre’s DMPonline tool, and the data repository. The paper will report on the plans, achievements and challenges encountered while we attempt to bring the University of Edinburgh RDM Roadmap to fruition.

Managing Research Data at the University of Porto

2013 ◽  
pp. 174-197
Author(s):  
João Rocha da Silva ◽  
Cristina Ribeiro ◽  
João Correia Lopes
Keyword(s):  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Small Scale ◽  
Domain Specific ◽  
Xml Documents ◽  
Research Institution ◽  
The University ◽  
Scale Data

This chapter consists of a solution for the management of research data at a higher education and research institution. The chapter is based on a small-scale data audit study, which included contacts with researchers and yielded some preliminary requirements and use cases. These requirements led to the design of a data curation workflow involving the researcher, the curator, and a data repository. The authors describe the features of the data repository prototype, which is an extension to the widely used DSpace repository platform and introduced a set of features mentioned by the majority of the interviewed researchers as relevant for a data repository. The data repository platform contributes to the curation workflow at the university, with XML technology at its core—data is stored using XML documents, which can be systematically processed and queried unlike its original-format counterpart. This system is capable of indexing, querying, and retrieving, in whole or in part, datasets represented in tabular form. There is also the possibility of using elements from domain-specific XML schemas for the cataloguing process, improving the interoperability and quality of the deposited data.

Research data stewardship at the University of Hong Kong

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
SiZhe Xiao ◽  
Tsz Yan Ng ◽  
Tao T. Yang
Keyword(s):  
Hong Kong ◽  
Academic Library ◽  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Content Type ◽  
Data Infrastructure ◽  
Academic Communities ◽  
Data Stewardship ◽  
The University

PurposeThe purpose of this paper is to look at the journey and experience of the University of Hong Kong (HKU) Research Data Management (RDM) practice to respond to the needs of researchers in an academic library.Design/methodology/approachThe research data services (RDS) practice is based on the FAIR data principle. And the authors designed the RDM Stewardship framework to implement the RDS step by step.FindingsThe HKU Libraries developed and implemented a set of RDS under a research data stewardship framework in response to the recent evolving research needs for RDM amongst the academic communities. The services cover policy and procedure settings for research data planning, research data infrastructure establishment, data curation services and provision of online resources and instructional guidelines.Originality/value This study provides an example of an approach to respond to the needs of the academic libraries about how to start the RDS including the data policy, data repository, data librarianship and data curation.

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