Supporting Research Data Research Articles

Sakato Plate Dance Choreography at Nagari Abai

The purpose of this study was to describe and analyze the Choreography of Sakato Plate Dance in Nagari Abai. The object of research studied was Sakato Plate Dance in Abai Sakato Art Studio, Nagari Abai. Stationery is used to record information or data obtained from sources and information related to Sakato Plate Dance. Photo Camera to take pictures of the form of motion and everything related to Sakato Plate Dance. Audio Recorder, this tool is used to record information about dance history, background, dance music and other information from informants and sources about Piring Sakato Dance. Primary data, namely data obtained from the main source, namely the choreographer of Sakato Plate Dance. Secondary data, which is supporting research data obtained through data that has been collected or the results of relevant research, then the data is also obtained from documentation owned by the Sakato Plate Dance choreographer in the form of photos, video recordings and others. The analysis steps taken are, the data is selected as needed and related to the problem posed, namely about the Sakato Plate Dance Choreography then arranged systematically and descriptively. The energy aspect used in this Sakato Plate Dance is that there is slow, medium, and strong energy this aspect aims to beautify the Sakato Plate Dance. As for the interaction that occurs in the Sakato Plate Dance, the property used in this Sakato Plate Dance is a plate with a plate size of 5. The clothes used in the Sakato Plate Dance are costumes that have been created so that dancers are easy to make movements and are not disturbed when holding plates.

Figshare: A One-Stop Shop for Research Data Management with Diverse Features and Services

Research data management is recognized as an important concern for institutions. Various academic and research institutions today maintain different institutional repositories operating on different platforms to save and share research data. Researchers require a platform that ensures maximum accessibility, stability and reliability to share research data. Sharing data makes it possible to replicate studies, formulate new research questions, and generate new knowledge. One such platform used for sharing and preserving research data is “Figshare”. The purpose of this paper is to look at the journey of the Figshare platform and investigate the usefulness of this platform for sharing and preserving data. This paper provides an understanding of the platform for research institutions to employ for data management purposes. The research design of this article consists of non-empirical research majorly based on literature review and analysis. The literature analysis focused on the architecture, metadata handling capacities, interoperability, compatibility and services offered to researchers and research institutions by this platform. Focused literature searches were conducted across various electronic databases and this study tried to explore the solution that Figshare offers in supporting research data. Further, the article outlines the benefits of the Figshare repository and shows how this registry helps in the appropriate storage and sharing of research data. This article presents the potential of the Figshare platform that can be applied and used in different research disciplines for preserving and sharing research data.

Trauma System Support to Facilitate Recovery.

Trauma is a major public health issue. Orthopaedic trauma surgeons are skilled in the acute management of musculoskeletal injury; however, formal training and resources have not been devoted to optimizing recovery after trauma. Recovery entails addressing the biomedical aspects of injury, as well as the psychological and social factors. The purposes of this study were to describe existing programs and resources within trauma centers, developed to promote psychosocial recovery. Supporting research data will be referenced, and potential barriers to program implementation will be discussed. The American College of Surgeons has mandated screening and treatment for mental illness after trauma, which will raise the bar to highlight the importance of these social issues, likely enabling providers to develop new programs and other resources within their systems. Provider education will promote the informing of patients and families, with the intent of enhancing the efficiency and scope of recovery.

ANALISIS KESULITAN GURU MATEMATIKA DALAM PEMBELAJARAN DI SEKOLAH BERBASIS PESANTREN PADA MASA PANDEMI COVID-19

Coronavirus Diseases 2019 (COVID-19) is a worldwide epidemic. The Covid-19 outbreak has an impact on the world of education, one of which is at MA Sarji Ar-Rasyid which is a boarding school-based school. In this case, it is necessary to conduct research to find out the difficulties experienced or faced by the MA mathematics teacher Sarji Ar-Rasyid in learning challenges during the Covid-19 pandemic. This type of research is a qualitative with a qualitative descriptive approach. Data sources include primary data sources, namely interviews and secondary data sources, supporting research data. The selected data source is Mathematics Teacher. Data was collected by means of observation, interviews and documentation. The data analysis techniques used were data reduction, data display, and conclusion drawing and verification. The results of the study are that the school remains active as usual, but students do not wear uniforms but use ordinary Muslim clothes. Learning is done offline / face to face. Difficulties or obstacles for mathematics teachers in learning during the Covid-19 pandemic, namely the decrease in student enthusiasm for learning, the decrease in the level of teacher attendance.

Potential opportunities and risks of sharing agricultural research data in Tanzania

Purpose: The purpose of this paper was to examine the potential opportunities and risks of sharing agricultural research data in Tanzania identified in the existing research literature.
 Design/methodology/approach: The study involved a review of the literature on research data sharing practices.
 Findings: The findings indicate that, research data sharing have significant positive benefits among researchers such as increase high research impact; enhancing international community collaboration among researchers with same interests; improving scientific transparency and accuracy of data (Rappert and Bezuidenhout, 2016); increasing research output whereby a single dataset can be used to generate more than one article by different authors; and many more. The risks hampering data sharing practices includes researchers’ fears that data will be scooped, poached or misused (Onyancha, 2016); unreliable electric power; lack of fund to support research data sharing activities; absence of institutional governmental support for data management; perceived lack of evidence benefits (Leonelli, Rappert and Bezuidenhout, 2018); and others. However, in Tanzania research data sharing is relatively new, thus, no any governmental agency mandating or encouraging research data sharing; therefore, there is no research data management; no research open data repositories and no research data sharing policy at any agricultural institution in Tanzania. The study recommends that agricultural researchers should be sensitized to share their data, research data policy and data repositories should also be established to support data sharing practices in Tanzania.
 Originality and usefulness: From the available literature, this has been the first time that an effort has been made to examine the potential opportunities and risks of sharing agricultural research data in Tanzania. The study could be used by agricultural institutions and other institutions to assess the researchers’ needs in supporting research data sharing. Also, it can be used by the government and institutions to see the need of establishing open data repositories and open data policies to support research data sharing.

Improving User Comfort Classroom at the Kalimantan Institute of Technology with Maintenance Factors

In building construction, the implementation of maintenance activities plays an important role in the quality of the building. By carrying out these activities regularly, it’s hoped to minimize and prevent damage to buildings and make users feel comfortable. Kalimantan Institute of Technology must have comfortable study spaces. This study aims to determine the effect of the class maintenance factor on the user's comfort level. The analysis brought by determining what factors are influencing, these factors influence, and the most dominant factors affecting the most. Primary data was obtained by distributing questionnaires to respondents, secondary data inactive students, and lecturers at the Kalimantan Institute of Technology, and supporting research data in ministerial regulations, books, research journals, and others. The data analysis process uses IBM SPSS as an auxiliary program with multiple linear regression analysis methods. Based on the research and data processing conducted, it’s concluded that 8 factors influence the maintenance, namely the maintenance of user comfort by 80.8% and the variable maintenance of the room walls. The room wall maintenance variable is the most dominant factor influencing the comfort of classroom users. Knowing these factors can implement optimal implementation to support the comfort of class users at the Kalimantan Institute of Technologists.

Supporting Research Data Management and Publication by Kyoto University Library Network

Supporting Research Data Management and Publication by Kyoto University Library Network

Toward Best Practices for Unstructured Descriptions of Research Data

AbstractAchieving the potential of widespread sharing of open research data requires that sharing data is straightforward, supported, and well‐understood; and that data is discoverable by researchers. Our literature review and environment scan suggest that while substantial effort is dedicated to structured descriptions of research data, unstructured fields are commonly available (title, description) yet poorly understood. There is no clear description of what information should be included, in what level of detail, and in what order. These human‐readable fields, routinely used in indexing and search features and reliably federated, are essential to the research data user experience. We propose a set of high‐level best practices for unstructured description of datasets, to serve as the essential starting point for more granular, discipline‐specific guidance. We based these practices on extensive review of literature on research article abstracts; archival practice; experience in supporting research data management; and grey literature on data documentation. They were iteratively refined based on comments received in a webinar series with researchers, data curators, data repository managers, and librarians in Canada. We demonstrate the need for information research to more closely examine these unstructured fields and provide a foundation for a more detailed conversation.

Structuring better services for unstructured data: Academic libraries are key to an ethical research data future with big data

Academic libraries have been supporting research data management for decades, but are rarely their institutions central research support unit. As more researchers look to leverage big datasets for new insights, research data management is going to get ever more complex. For institutions of higher education to face these new challenges, they need to make libraries institutional leaders in this area. Doing so will reduce waste and risk while providing clearer guidance and fuller support through the entire research cycle.

Research Data Management Policy and Practice in China


 On April 2, 2018, the State Council of China formally released a national research data management (RDM) policy “Measures for Managing Scientific Data”. Literature review shows that university libraries have played an important role in supporting Research Data Management at an institutional level in countries in North America, Europe and Australasia. The aim of this paper is to capture the current status of RDM in Chinese universities, in particular how university libraries have involved in taking the agenda forward.
 This paper uses mixed methods: a website analysis of university policies and services; a questionnaire for university librarians; and semi-structured interviews. Findings from website analysis and questionnaires indicate that RDS at a local level in Chinese Universities are in their infancy. On the whole there is more evidence of activity in developing data repositories than support services. Despite the existence of a national policy there remain significant barriers to further service development, such as the lag in the creation of local policy, insufficient funding for technical infrastructure, shortages of staff skills in data curation, and language barriers to international data sharing and open science. RDS in Chinese university libraries are still lagging behind the English-speaking countries and Europe.

Supporting open research data practice through data curation and discovery: A global perspective

AbstractThis panel will address the issues associated with the practice and service of open research data curation and discovery from a global perspective. The sub‐fields of information science such as information retrieval, information curation, information practices and human‐centered data science have approached the open research data initiatives from multiple lenses. The issues of data creation, capturing, curation, sharing, discovery and reuse of cut across the sub‐fields. We will identify and discuss the emerging themes in open data curation and discovery drawing on active research projects, repository practices and research data capturing and reuse in a selection of disciplines from health domain to archaeology and cultural heritage.

Supporting Research Data Management and Open Science in Academic Libraries: a Data Librarian’s View

The ‘data revolution’ has impacted researchers across the disciplines. As if the traditional work of teaching, competing for grants and promotion, doing research and publishing results was not challenging enough, researchers are required to make fundamental changes in the way they do all of these things. A similar shift can be seen for academic librarians. Librarians who were taught to meet the needs of their users based on information scarcity now need to retrain themselves to help users deal with information overload. Moreover, librarians increasingly find themselves ‘upstream’ in the research process, trying to assist their users in managing unwieldy amounts of data when their comfort zone is firmly ‘downstream’ in the post-publication stage. Unsettling as it may be, these are exciting developments for the library profession.

Knowledge integration capability and entrepreneurial orientation: case of Pakthongchai Silk Groups Residing

This qualitative research aimed to study 1) knowledge integration capability and 2) knowledge integration capability that demonstrated the entrepreneurial orientation within the silk groups in Pakthonghai District, Nakhon Ratchasima Province. Supporting research data was collected from in-depth interviews of six silk group leaders and members (out of eleven identified groups). A content analysis method was used for data evaluation in order to find evidence-based inferences, identify causal relationships, and investigate the correlations. According to the result, the silk groups’ knowledge integration capability was built upon the following three perspectives: learning culture, knowledge management capability and information technology skill. 1) Learning Culture derived from the groups’ determination to produce and maintain high quality standards in their silk products while making use of knowledge learned from customers, competitors, governments, and previously experienced business problems. 2) Knowledge management capability described the ability to retain knowledge inherited from previous generations and exchange information among group members during training and practice. Once the new set of knowledge was created by a member, it was then relayed to other group members and used to develop their silk products according to the market demand. 3) Information technology had been used by Pakthongchai silk groups to manage their silk production knowledge. These established elements had assisted them in obtaining an outstanding entrepreneurial skills.

Context-Based Roles and Competencies of Data Curators in Supporting Research Data Lifecycle Management: Multi-Case Study in China

Abstract Focusing on the main research question of what the critical roles and competencies of data curation are in supporting research data life cycle management, this paper adopts a multi-case study method, with data governance frameworks, to analyze stakeholders and data curators, and their competencies, based on different contexts from cases from enterprises and academic libraries in mainland China. Via the context and business analysis on different cases, critical roles such as data supervisor, data steward, and data custodian in guaranteeing data quality and efficiency of data reuse are put forward. Based on the general factor framework summarized via existing literature, suggestions for empowering data curators’ competencies are raised according to the cases. The findings of this paper are as follows: besides digital archiving and preservation, more emphasis should be placed on data governance in the field of data curation. Data curators are closely related but not equivalent to stakeholders of data governance. The different roles of data curators would play their own part in the process of data curation and can be specified as data supervisor, data steward, and data custodian according to given contexts. The roles, competencies, and empowerment strategies presented in this paper might have both theoretical and practical significance for the fields of both data curation and data governance.

Preferred but not Required: Examining Research Data Management Roles in Health Science Librarian Positions

Introduction: Research data management (RDM) is being recognized as an increasingly important role for librarians. In this paper, the role of health science librarians in supporting research data management endeavors is examined.
 Methods: All job postings currently (as of April 5th, 2018) available on the University of Toronto’s Faculty of Information (iSchool) job site were analyzed to identify positions related to health science librarianship. The job responsibilities and descriptions were then examined to identify instances where research data management was mentioned.
 Results: Thirty-two postings from the search results were identified as meeting the inclusion criteria. Of these thirty-two health science librarian postings which were included in the analysis, eight included supporting research data management services, in some capacity, as part of the position description.
 Discussion/ Conclusion: Through the job posting analysis, a picture emerges where RDM is not consistently seen as a role for health science librarians. However, the literature indicates that in many instances, research data management is already being done by health science librarians, and is a trend which is likely to continue in the future. As such, it is important that research data management services start being acknowledged and reflected in education and job description opportunities.

PENGARUH PELATIHAN DAN PENDIDIKAN KEWIRAUSAHAAN TERHADAP MOTIVASI BERWIRAUSAHA PADA PENYANDANG DISABILITAS DI KABUPATEN JEMBER

Persons with disabilities often face negative stereotypes from the community because of their physical limitations. Companies tend to reject disability when applying for work because there is no support for supporting disability services. Through training and entrepreneurship education, it is hoped that it can foster disability motivation in entrepreneurship and form an entrepreneur mindset. This research method is Quantitative research with the type of explanatory research, which is analyzed using multiple linear regression analysis and uses the SPSS version 23 program for Windows. Supporting research data are field studies, observations, interviews. Population and Object of the research were persons with disabilities with the research location in Jember Regency. The respondents of the research were 50 disabilities, which were obtained through a purposive sampling technique. The results of the research prove that training affects the motivation of entrepreneurship with the value of Sig. (2-tailed) 0.005. Entrepreneurship Education affects the Motivation of Entrepreneurs with the value of Sig. (2-tailed) 0,000. Entrepreneurship Training and Education jointly influences the Motivation of Entrepreneurs with a calculated F value of 15,514, a significance number of 0,000. Keywords: Training, Education, Entrepreneur, Entrepreneurship

Supporting FAIR Data Principles with Fedora

Making data findable, accessible, interoperable, and re-usable is an important but challenging goal. From an infrastructure perspective, repository technologies play a key role in supporting FAIR data principles. Fedora is a flexible, extensible, open source repository platform for managing, preserving, and providing access to digital content. Fedora is used in a wide variety of institutions including libraries, museums, archives, and government organizations. Fedora provides native linked data capabilities and a modular architecture based on well-documented APIs and ease of integration with existing applications. As both a project and a community, Fedora has been increasingly focused on research data management, making it well-suited to supporting FAIR data principles as a repository platform. Fedora provides strong support for persistent identifiers, both by minting HTTP URIs for each resource and by allowing any number of additional identifiers to be associated with resources as RDF properties. Fedora also supports rich metadata in any schema that can be indexed and disseminated using a variety of protocols and services. As a linked data server, Fedora allows resources to be semantically linked both within the repository and on the broader web. Along with these and other features supporting research data management, the Fedora community has been actively participating in related initiatives, most notably the Research Data Alliance. Fedora representatives participate in a number of interest and working groups focused on requirements and interoperability for research data repository platforms. This participation allows the Fedora project to both influence and be influenced by an international group of Research Data Alliance stakeholders. This paper will describe how Fedora supports FAIR data principles, both in terms of relevant features and community participation in related initiatives.

IASSIST Session 5S Summary: Tools and Services for Supporting Research Data Management, June 5, Toronto, CA

IASSIST Session 5S Summary: Tools and Services for Supporting Research Data Management, June 5, Toronto, CA

The Front Office–Back Office Model: Supporting Research Data Management in the Netherlands

High quality and timely data management and secure storage of data, both during and after completion of research, are an essential prerequisite for sharing that data. It is therefore crucial that universities and research institutions themselves formulate a clear policy on data management within their organization. For the implementation of this data management policy, high quality support for researchers and an adequate technical infrastructure are indispensable. This practice paper will present an overview of the merging federated data infrastructure in the Netherlands with its front office – back office model, as a use case of an efficient and effective national support infrastructure for researchers. We will elaborate on the stakeholders involved, on the services they offer each other, and on the benefits of this model not only for the front and back offices themselves, but also for the researchers. We will also pay attention to a number of challenges that we are facing, like the implementation of a technical infrastructure for automatic data ingest and integrating access to research data.

Making materials science and engineering data more valuable research products

AbstractBoth the global research community and federal governments are embracing a move toward more open sharing of the products of research. Historically, the primary product of research has been peer-reviewed journal articles and published technical reports. However, advances in information technology, new 'open access' business models, and government policies are working to make publications and supporting materials much more accessible to the general public. These same drivers are blurring the distinction between the data generated through the course of research and the associated publications. These developments have the potential to significantly enhance the value of both publications and supporting digital research data, turning them into valuable assets that can be shared and reused by other researchers. The confluence of these shifts in the research landscape leads one to the conclusion that technical publications and their supporting research data must be bound together in a rational fashion. However, bringing these two research products together will require the establishment of new policies and a supporting data infrastructure that have essentially no precedent in the materials community, and indeed, are stressing many other fields of research. This document raises the key issues that must be addressed in developing these policies and infrastructure and suggests a path forward in creating the solutions.