Trends in Digital Cultural Heritage Management and Applications

We present some recent trends in the field of digital cultural heritage management and applications including digital cultural data curation, interoperability, open linked data publishing, crowd sourcing, visualization, platforms for digital cultural heritage, and applications. We present some examples from research and development projects of MUSIC/TUC in those areas.

Data Resource Profile : Aberdeen Maternity and Neonatal Databank (AMND)

Conflict of interest: None of the authors have any conflict of interest.

The Physical Activity 4 Everyone Cluster Randomized Trial : 2-Year Outcomes of a School Physical Activity Intervention Among Adolescents

Acknowledgments The Physical Activity 4 Everyone intervention trial was funded by the New South Wales Ministry of Health through the New South Wales Health Promotion Demonstration Research Grants Scheme and conducted by Hunter New England Population Health (a unit of the Hunter New England Local Health District), in collaboration with the University of Newcastle and University of Wollongong. Infrastructure support was provided by Hunter Medical Research Institute. The research team acknowledges the importance of making research data publically available. Access to the accelerometer data from this study may be made available to external collaborators following the development of data transfer agreements. Further results arising from the study can be found at www.goodforkids.nsw.gov.au/high-schools/.

Reference list of 265 sources used for the discovery of relationships between data clusters and metadata properties

Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.

Data Files

In order to become better prepared to support Research Data Management (RDM) practices in sciences and engineering, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows and graduate students at the Faculty of Engineering & Applied Science, Departments of Chemistry, Computer Science, Geological Sciences and Geological Engineering, Mathematics and Statistics, Physics, Engineering Physics & Astronomy, School of Environmental Studies, and Geography & Planning in the Faculty of Arts and Science.

Collocations used in DELE B1 reading tests

This paper aims to investigate the use of collocations in DELE B1. We select the reading texts from DELE B1 (2010 to 2014) as research data. The investigation includes: First of all, we will study the theory of collocation and the classification as well as its application to the foreign language learning and teaching. Second, we will analyze the types of collocation annotated by Corpus Tool. Third, we tend to calculate the frequency use of each type of collocations written in Spanish reading texts. Next, we will discuss the interrelationship between collocations and text themes. Finally, we would like to compare the differences of results of collocation use between these two corpus tools: Corpus Tool and Corpus del Español in order to understand the native speakers’ preference of use collocations as well as to provide supplementay materials for teaching of Spanish reading. We hope that the expected results of our research will offer useful references for improving students' Spanish reading comprehension to pass DELE B1 examinations.

Spatial Data Systems for Transportation Planning, 1997

The objective of this research was to develop a methodology for transforming and dynamically segmenting data. Dynamic segmentation enables transportation system attributes and associated data to be stored in separate tables and merged when a specific query requires a particular set of data to be considered. A major benefit of dynamic segmentation is that individual tables can be more easily updated when attributes, performance characteristics, or usage patterns change over time. Applications of a progressive geographic database referencing system in transportation planning are vast. Summaries of system condition and performance can be made, and analyses of specific portions of a road system are facilitated.

Use of Remote Sensing for Collection of Data Elements for Linear Referencing Systems, 2002

This report evaluates the use of remotely sensed images in implementing the Iowa DOT LRS that is currently in the stages of system architecture. The Iowa Department of Transportation is investing a significant amount of time and resources into creation of a linear referencing system (LRS). A significant portion of the effort in implementing the system will be creation of a datum, which includes geographically locating anchor points and then measuring anchor section distances between those anchor points. Currently, system architecture and evaluation of different data collection methods to establish the LRS datum is being performed for the DOT by an outside consulting team.

Data Processing Systems Manual: Highway Noise Prediction, 1972

The Data Processing Department of ISHC has developed coding forms to be used for the data to be entered into the program. The Highway Planning and Programming and the Design Departments are responsible for coding and submitting the necessary data forms to Data Processing for the noise prediction on the highway sections.

Automated Collection of Sign Inventory Information by Integrating Global Positioning System (GPS) with Videologging Data Collection Activities, 1995

Advances in communication, navigation and imaging technologies are expected to fundamentally change methods currently used to collect data. Electronic data interchange strategies will also minimize data handling and automatically update files at the point of capture. This report summarizes the outcome of using a multi-camera platform as a method to collect roadway inventory data. It defines basic system requirements as expressed by users, who applied these techniques and examines how the application of the technology met those needs. A sign inventory case study was used to determine the advantages of creating and maintaining the database and provides the capability to monitor performance criteria for a Safety Management System. The project identified at least 75 percent of the data elements needed for a sign inventory can be gathered by viewing a high resolution image.

Iowa Statewide Highway Transportation Study: Trip Data Analysis, Vol. 1-D, 1974

The object of this report is to present the data and conclusions drawn from the analysis of the origin and destination information. Comments on the advisability and correctness of the approach used by Iowa are encouraged.

Namibia RSRC Activity Performance Evaluation: Component 1 Report

The Millennium Challenge Corporation (MCC) contracted the Technology & Social Change group (TASCHA) at the University of Washington to conduct a performance evaluation of the Namibia Regional Study and Resource Centers (RSRC) Activity. This evaluation has been designed to serve the needs of two major stakeholders, MCC and the Namibia Library and Archives Service (NLAS). The evaluation comprises a set of quantitative and qualitative data collection efforts divided into two categories: Component 1 and Component 2. This report presents the findings for Component 1 only, focusing on evaluating the RSRC planning and implementation activities leading up to the end of the MCA-Namibia Compact in September 2014.

Discussion Paper: Researchers and Open Science

This paper introduces the concept of Open Science to policymakers and discusses how Open Science is fomenting change in the way scientific research is conducted, communicated, accessed and shared. The paper starts, firstly, by defining Open Science, identifying its pillars and describing its overall benefits. Secondly, it situates Open Science within the European Commission’s agenda for transforming science and democratising research1. Thirdly, it highlights the benefits and implications of Open Science for researchers – who are being increasingly encouraged to share research more widely and openly – and for policymakers, who have been adopting strategies and policies that encourage Open Science and open research. Importantly, this discussion paper intends to raise policymakers’ awareness to some of the reasons why researchers may or may not be supportive about Open Science. Finally, after highlighting the implications of Open Science for researchers, a reflection is made on how policymakers can implement cohesive and consistent policies and strategies that advance an Open Science agenda at the institutional, funder or national level(s).

From social action to business action - A qualitative research on the professionalization process of a blogger: Case P.s. I Love Fashion -blog

Blogging is one of the most common forms of social media today. Blogs have become a powerful media and bloggers are settled stakeholders to marketers. Commercialization of the blogosphere has enabled an increasing number of bloggers professionalize and blog as a full-time occupation. The purpose of this study is to understand the professionalization process of a blogger from an amateur blogger to a professional actor. The following sub-questions were used to further elaborate the topic: What have been the meaningful events and developments fostering professionalization? What are the prerequisites for popularity in blogging? Are there any key success factors to acknowledge in order being able to make business out of your blog? The theoretical framework of this study was formed based on the two chosen focus areas for professionalization; social drivers and business drivers. The theoretical framework is based on literature from fields of marketing and social sciences, as well as previous research on social media, blogging and professionalization. The study is a qualitative case-study and the research data was collected in a semi-structured interview. The case chosen to this study is a lifestyle-blog. The writer of the case blog has been able to develop her blog to become a full-time professional blogger. Based on the results, the professionalization process of a blogger is not a defined process, but instead comprised of coincidental events as well as considered advancements. Success in blogging is based on the bloggers own motivation and passion for writing and expressing oneself in the form of a blog, instead of a systematic construction of a successful career in blogging. Networking with other bloggers as well as affiliates was seen as an important success factor. Popularity in the blogosphere and a high number of followers enable professionalization, as marketers actively seek to collaborate with popular bloggers with strong personal brands. Bloggers with strong personal brands are especially attractive due to their opinion leadership in their reference group. A blogger can act professionally either as entrepreneur or blogging for a commercial webpage. According to the results of this study, it is beneficial for the blogger’s professional development as well as career progress, to act on different operating models

Newly qualified teachers’ needs of support for professional competences in four European countries: Finland, the United Kingdom, Portugal, and Belgium

The first few years in the teaching profession are usually demanding. Although initial teacher education forms an essential foundation for teachers’ work, it cannot fully prepare new teachers for the complexities of working life. This study focuses on investigating the need for professional development support among newly qualified teachers to determine what their professional learning needs are and how these needs differ among teachers from four different countries: Finland, the United Kingdom (England), Portugal and Belgium (Flanders). The research data was collected via a questionnaire from 314 teachers, each with less than five years of teaching experience, and both closed and open-ended questions were included. The quantitative data was analysed using descriptive statistics and factor analysis to identify the latent variables associated with their needs. Answers to the open-ended questions were used to gain deeper insight into the newly qualified teachers’ situation. The results indicate that new teachers need support, especially regarding conflict situations and in differentiating their teaching. In addition, when analysing the profiles of eight support-need latent variables, all of the teachers in the different countries viewed supporting students’ holistic development as the most important area. Although the results of this study cannot be generalised, they provide an important overview of new teachers’ learning needs that should be taken into account when planning and organising support for them. (DIPF/Orig.)