Suchergebnisse

In the last decade, the call for sharing research data has intensified within the educational research community in Germany. This development has taken place within the professional communities and it has been spurred by research funding organizations mandating researchers to share their research data. However, researchers and data centers alike are aware that not all data might be fit for re-use. Therefore, research data should be evaluated with respect to their analytical potential for re-use. Yet, criteria and processes for identifying data with high re-use potential are lacking. Thus, a workshop on the topic "Re-use potential of research data" was held on June 19th, 2018, at the Institute for Educational Quality Improvement, which was organized within the German Network for Educational Research Data (Verbund Forschungsdaten Bildung, VerbundFDB). Participants were ten researchers from different disciplines of empirical educational research in Germany. Representatives from the educational sciences, psychology, economics and sociology were present. The aim of the workshop was to develop and discuss quality criteria for research data from the perspective of secondary users of research data.

This article belongs to the Special Issue Data Reuse for Sustainable Development Goals. ; This work provides an overview of a Spanish survey on research data, which was carried out within the framework of the project Datasea at the beginning of 2015. It is covered by the objectives of sustainable development (goal 9) to support the research. The purpose of the study was to identify the habits and current experiences of Spanish researchers in the health sciences in relation to the management and sharing of raw research data. Method: An electronic questionnaire composed of 40 questions divided into three blocks was designed. The three Section s contained questions on the following aspects: (A) personal information; (B) creation and reuse of data; and (C) preservation of data. The questionnaire was sent by email to a list of universities in Spain to be distributed among their researchers and professors. A total of 1063 researchers completed the questionnaire. More than half of the respondents (54.9%) lacked a data management plan; nearly a quarter had storage systems for the research group; 81.5% used personal computers to store data; "Contact with colleagues" was the most frequent means used to locate and access other researchers' data; and nearly 60% of researchers stated their data were available to the research group and collaborating colleagues. The main fears about sharing were legal questions (47.9%), misuse or interpretation of data (42.7%), and loss of authorship (28.7%). The results allow us to understand the state of data sharing among Spanish researchers and can serve as a basis to identify the needs of researchers to share data, optimize existing infrastructure, and promote data sharing among those who do not practice it yet. ; This research was funded by National R+D+I of the Ministry of Economy and Competitiveness of the Spanish Government (projects: CSO2012-39632-C02-01 and CSO2015-65594-C2-2-R) and the 2015-Networks of Excellence Call (project CSO2015-71867-REDT). ; Peer reviewed

An introduction to classical test theory and quantitative survey data -- Methodological assumptions, reliability and validity -- Basic components of analysing quantitative survey data -- Conducting classical test theory analyses -- Examples of analysis using classical test theory -- Conclusions

Last year, the proposal for a National Open Science Plan in Greece was published outlining the steps that the national stakeholders in Research & Innovation should make. The two OpenAIRE members, "Athena" Research Center (NOAD) and the consortium of academic libraries "HEAL-Link", have a long standing cooperation in the country. They support each other's work by building the bridges between academia and research, and laying the foundations for the sustainable implementation of Open Science in Greece. In particular, they exchange knowledge and practices on: - (co-)developing data services that follow best practices to enable FAIRness of data and EOSC compatibility, such as through the Hellenic Data Service "HELIX" and the University data repositories "HARDMIN". - promoting skills on Open Science and Research Data Management (RDM) to incubate competencies of researchers as well as to contribute to upskilling and reskilling of the research support workforce. - providing apt guidance and support in EU framework programme requests, including the COVID-19 calls, via the OpenAIRE helpdesk and the material in Greek language of the Scholarly Communication Unit of HEAL-Link. Moreover, "Athena" and HEAL-Link both perform activities to draw the bigger picture, in support of informed decision and policy making. For example, the monitoring reports by SCU/HEAL-Link are giving the community the insights to understand the progress of OA publishing in the country. Similarly, the OpenAIRE NOAD collaborates with others and initiates actions that assist in understanding the current challenges and opportunities in R&I, including the EOSC and the COVID-19 crisis. The lighting talk will provide a detailed update on the actions that the two organisations have taken to promote Open Science in Greece.

Introduction -- Foundational studies -- Concepts and frameworks -- Important empirical studies -- Current and emerging themes

The United State? federal and state governments collect and make available enormous amounts of free, accurate, public data. Using these data can contribute to addressing a variety of challenges researchers face. For example, we describe how applying public data made possible our study of why cities decide to hire lobbyists in Washington, D.C. In most lobbying studies, it is very hard to compare entities who lobby with those who do not because of limited data availability. By merging together public data sets, we were able to study both cities who lobbied and those who did notavoiding problems of research design validity that arise when one selects cases based on the dependent variable, that is, whether cities lobbied.

This paper presents the findings of the Belmont Forum's survey on Open Data which targeted the global environmental research and data infrastructure community. It highlights users' perceptions of the term "open data", expectations of infrastructure functionalities, and barriers and enablers for the sharing of data. A wide range of good practice examples was pointed out by the respondents which demonstrates a substantial uptake of data sharing through e-infrastructures and a further need for enhancement and consolidation. Among all policy responses, funder policies seem to be the most important motivator. This supports the conclusion that stronger mandates will strengthen the case for data sharing.

With the proliferation of digital data, data mining (DM)¿in the sense of the discoveryof valuable structures in large sets of data¿is expected to increase the productivityof many types of research. This paper discusses how copyright affects DM by aca-demic researchers. In some territories, academic DM is lawful if researchers havelawful access to input works. In other territories such as the European Union, lawfulDM additionally requires specific consent by rights holders. Based on bibliometricdata and quasi-experimental research designs, we show that where academic DMrequires specific rights holder consent: (1) DM publications make up a significantlylower share of total research output, and (2) stronger rule of law is associated withless DM research. To our knowledge, this study is the first to empirically documentan adverse effect of intellectual property (IP) on innovation under particular circum-stances. There is strong evidence that copyright exceptions or limitations promotethe adoption of DM research.

In this paper, we argue that the ongoing processes of datafication and dataism are constraining initiatives to construct open data portals contributing to inter- and transdisciplinary research. The former overvalues quantitative data, whereas the latter reinforces the belief that 'raw data' is neutral and apolitical, ignoring how data is processed. Based on the case study of an open data portal being developed at an inter- and transdisciplinary research institute, we argue that datafication and dataism are highly problematic trends, because they marginalize qualitative data employed in critical, constructivist, and other interpretive methods, thereby limiting the possibility of complementing and extending each other. Nonetheless, we also maintain that these trends are not technologically determined but are modifiable, based on the design of data portals. Accordingly, we conclude by offering suggestions for constructing data portals, such as opening up the design process and democratizing standards. ; In this paper, we argue that the ongoing processes of datafication and dataism are constraining initiatives to construct open data portals contributing to inter- and transdisciplinary research. The former overvalues quantitative data, whereas the latter reinforces the belief that 'raw data' is neutral and apolitical, ignoring how data is processed. Based on the case study of an open data portal being developed at an inter- and transdisciplinary research institute, we argue that datafication and dataism are highly problematic trends, because they marginalize qualitative data employed in critical, constructivist, and other interpretive methods, thereby limiting the possibility of complementing and extending each other. Nonetheless, we also maintain that these trends are not technologically determined but are modifiable, based on the design of data portals. Accordingly, we conclude by offering suggestions for constructing data portals, such as opening up the design process and democratizing standards.

This publication provides a comprehensive compendium of the current state of Germany's research infrastructure in the social, economic, and behavioural sciences. In addition, the book presents detailed discussions of the current needs of empirical researchers in these fields as well as of opportunities for future development. The importance of solid data for both public policy and the social and economic sciences is obvious. Today, empirical research is essential in finding solutions to many of the major challenges our society faces, such as environmental change, turbulent financial markets, and population growth. Based on 68 advisory reports by more than 100 internationally recognised authors from a wide range of fields, the book provides recommendations by the German Data Forum (RatSWD) on how to improve the research infrastructure so as to create conditions ideal for making Germany's social, economic, and behavioural sciences more innovative and internationally competitive.