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International audience ; The General Data Protection Regulation (GDPR) became binding law in the European Union Member States in 2018, as a step toward harmonizing personal data protection legislation in the European Union. The Regulation governs almost all types of personal data processing, hence, also, those pertaining to biomedical research. The purpose of this article is to highlight the main practical issues related to data and biological sample sharing that biomedical researchers face regularly, and to specify how these are addressed in the context of GDPR, after consulting with ethics/legal experts. We identify areas in which clarifications of the GDPR are needed, particularly those related to consent requirements by study participants. Amendments should target the following: (1) restricting exceptions based on national laws and increasing harmonization, (2) confirming the concept of broad consent, and (3) defining a roadmap for secondary use of data. These changes will be achieved by acknowledged learned societies in the field taking the lead in preparing a document giving guidance for the optimal interpretation of the GDPR, which will be finalized following a period of commenting by a broad multistakeholder audience. In parallel, promoting engagement and education of the public in the relevant issues (such as different consent types or residual risk for re-identification), on both local/national and international levels, is considered critical for advancement. We hope that this article will open this broad discussion involving all major stakeholders, toward optimizing the GDPR and allowing a harmonized transnational research approach.

International audience ; The General Data Protection Regulation (GDPR) became binding law in the European Union Member States in 2018, as a step toward harmonizing personal data protection legislation in the European Union. The Regulation governs almost all types of personal data processing, hence, also, those pertaining to biomedical research. The purpose of this article is to highlight the main practical issues related to data and biological sample sharing that biomedical researchers face regularly, and to specify how these are addressed in the context of GDPR, after consulting with ethics/legal experts. We identify areas in which clarifications of the GDPR are needed, particularly those related to consent requirements by study participants. Amendments should target the following: (1) restricting exceptions based on national laws and increasing harmonization, (2) confirming the concept of broad consent, and (3) defining a roadmap for secondary use of data. These changes will be achieved by acknowledged learned societies in the field taking the lead in preparing a document giving guidance for the optimal interpretation of the GDPR, which will be finalized following a period of commenting by a broad multistakeholder audience. In parallel, promoting engagement and education of the public in the relevant issues (such as different consent types or residual risk for re-identification), on both local/national and international levels, is considered critical for advancement. We hope that this article will open this broad discussion involving all major stakeholders, toward optimizing the GDPR and allowing a harmonized transnational research approach.

International audience ; The General Data Protection Regulation (GDPR) became binding law in the European Union Member States in 2018, as a step toward harmonizing personal data protection legislation in the European Union. The Regulation governs almost all types of personal data processing, hence, also, those pertaining to biomedical research. The purpose of this article is to highlight the main practical issues related to data and biological sample sharing that biomedical researchers face regularly, and to specify how these are addressed in the context of GDPR, after consulting with ethics/legal experts. We identify areas in which clarifications of the GDPR are needed, particularly those related to consent requirements by study participants. Amendments should target the following: (1) restricting exceptions based on national laws and increasing harmonization, (2) confirming the concept of broad consent, and (3) defining a roadmap for secondary use of data. These changes will be achieved by acknowledged learned societies in the field taking the lead in preparing a document giving guidance for the optimal interpretation of the GDPR, which will be finalized following a period of commenting by a broad multistakeholder audience. In parallel, promoting engagement and education of the public in the relevant issues (such as different consent types or residual risk for re-identification), on both local/national and international levels, is considered critical for advancement. We hope that this article will open this broad discussion involving all major stakeholders, toward optimizing the GDPR and allowing a harmonized transnational research approach.

The presentation draws on a use case from political science to demonstrate integrated scholarly processes for curating and publishing data. Curation activities are distributed across institutional and national websites, repositories, archives and registries. In workflows which prioritise existing research practice and disciplinary standards, the primary role of the repository is to move the data around – to apply standards and protocols that enable the data to be widely and openly accessible. Researchers provide structured metadata using a template based on the Data Documention Initiative , an international standard for describing data that result from observational methods in the social, behavioural, economic and health sciences. DDI metadata are mapped to standards (RDF, RIF-CS) which enable the institutional repository to disseminate and publish the datasets.The implementation supports researchers in comprehensively describing their research methods and data according to a widely-adopted disciplinary standard, and in depositing the data in a trusted national archive. The integrity of the institutional data repository is increased by its direct integration with the rich descriptions of data in the disciplinary archive. Added value for the institution is derived from the reporting capabilities of the repository, which links to enterprise systems to generate statistics about the University's research assets.

This volume focuses on generational issues, gig economy in relation to human resources management, immigrant and refugee issues in human resources management, pay dispersion issues, network structures and human resources management, human resources issues in family organizations and managing human resources during economic downturns.

As the use of networks in public management increases, more & larger questions expand this research arena. In many ways, public network management is in search of a paradigm equivalent to the hierarchical-organizational authority paradigm of bureaucratic management. We offer preliminary answers to seven metaquestions that address the nature of network management tasks, group process in collaboration, flexibility of networks, self-responsibility & public agency accountability, the cohesive factor of networks, power & its effect on group problem resolution, & the results of network management. The light we shed on these issues by examining the black box of networks is designed to contribute to building an empirically derived knowledge base of network management. 92 References. Adapted from the source document.

AbstractThis paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research methods syllabi from across the disciplines, as well as 80 syllabi from data science programmes to understand how or if data ethics was taught. We also reviewed 12 data ethics frameworks drawn from different sectors. Finally, we reviewed an extensive and diverse body of literature about data practices, research ethics, data ethics and critical data literacy, in order to develop a transversal model that can be adopted across higher education. To promote and support ethical approaches to the collection and use of data, ethics training must go beyond securing informed consent to enable a critical understanding of the techno-centric environment and the intersecting hierarchies of power embedded in technology and data. By fostering ethics as a method, educators can enable research that protects vulnerable groups and empower communities.

Although still more common in medical studies and some other areas of social science such as psychology and behavioral economics, experimental work has become an increasingly important methodology in political science. Experimental work differs from other kinds of research because it systematically administers a specific treatment to part of a population while withholding that manipulation from the rest of a subject pool. The best studies strive to keep all other aspects of the experiment similar, so that any emergent difference between the treatment and control group that emerge provide unparalleled traction in determining causal inference. Many other valuable forms of social research use observation of the natural world, rather than depending on intervention to advance understanding. Because experimentalists can create the environment or process they want to study, this strategy of intervention and manipulation constitutes the main distinction between experimental work and other forms of social observation.

This Editorial introduces and comments on the implications of the papers presented at the 25th Anniversary Conference of Management Accounting Research which was held at the London School of Economics and Political Science in April 2015. It first examines the context in which Management Accounting Research was founded in 1990 and then introduces the six invited review papers. These papers cover a wide range of subjects comprising critical and social theory, managerialist studies, contingency theory, experimental behavioural research and intra-organisational management accounting. Amongst various other recommendations, some of the authors suggest that there is a need for research in management accounting to more effectively build on prior research so as to accumulate knowledge about specific issues and problems. In addition, they suggest that researchers in the different areas (or sub-disciplines) of management accounting should talk to each other more. For instance, insights and findings from qualitative research could be used to inform quantitative studies and vice versa. The later parts of this Editorial discuss opportunities and challenges for management accounting research in the future. In particular, it is pointed out that, compared to when Management Accounting Research was founded in 1990, researchers now have highly theorised understandings of management accounting practices, and one challenge is to use these understandings to try to close the 'practice-research gap'. It is argued that management accounting theories have had a relatively limited impact on practice and, as there are increasing pressures on universities to demonstrate the impact and value of university research, some suggestions are made about ways of increasing the impact of management accounting research.

Open science and open access to research data are important aspects of research policy in Austria. In the last years, the social sciences have seen the building of research infrastructures that generate data and archives that store data. Data standards have been established, several working groups exist and a number of activities aim to further develop various aspects of open science, open data and access to data. However, some barriers and challenges still exist in the practice of sharing research data. One aspect that should be emphasised and incentivised is the re-use of research data.