The undergraduate research experience (URE) provides an opportunity for students to engage in meaningful work with faculty mentors on research projects. An increasingly important component of scholarly research is the application of research data management best practices, yet this often falls out of the scope of URE programs. This article presents a case study of faculty and librarian collaboration in the integration of a library and research data management curriculum into a social work URE research team. Discussion includes reflections on the content and learning outcomes, benefits of a holistic approach to introducing undergraduate students to research practice, and challenges of scale.
It presents research data access and management initiatives in Argentina. The Database National Systems initiative by the Ministry of Science, Technology and Productive Innovation (MINCyT) includes the National System of Biological Data, the National System of Sea Data, the National System of Digital Repositories, and the National System of Climate Data. Research data access and management legislation was promoted by MINCyT and it is now being discussed by Argentinean Congress. The National Council of Scientific and Technological Research is developing the Interactive Platform for Social Sciences Research to create an appropriate environment for data sharing, to allow interdisciplinary approaches and to contribute to the understating of complex problems. National University of Rosario is conducting a study to learn researchers´ needs regarding repository services for data management and access. ; Fil: Bongiovani, Paola Carolina. Universidad Nacional de Rosario; Argentina
This report presents the findings of a needs assessment survey that was carried out with research managers in four Palestinian Higher Education Institutions (PS HEIs) between December 2016 and February 2017. The four participating institutions include: The Islamic University of Gaza (IUG) Al-Quds Open University (QOU) Birzeit University (BZU) Palestine Technical University-Kadoori (KAD) The survey data will be used to: Identify the size, formats and scopes of research volumes and digital holdings for which each partner PS HEI assumes preservation responsibility. Review the current RDM practices and activities adopted at the institutional level. Review the current situation in PS HEIs as regards IRs, open access publishing and institutional support for RDM. Determine the current shortcomings and future priorities in RDM from the institution's perspective. In general, this survey targeted the administration and management staff who were responsible for, or directly involved, in RDM in the four partner PS HEIs. Since partner PS Universities might have different organizational structures and administrative departments, the selection process of participants from each university could not be the same. Project coordinators at partner PS Universities were asked to choose eligible persons based on the university's structure and pertinent administrative positions. They were urged to select participants from department/units/centres that were in charge of RDM activities such as scientific research, University library, IT unit, etc. ; Project number: 573700-EPP-1-2016-1-PS-EPPKA2-CBHE-JP. Co-funded by the Erasmus+ Programme of the European Union.
The overall goal of WP2 in FarFish is to "advance knowledge and collate data related to biological characteristics of the main fish stocks in the selected fisheries, and to evaluate the appropriateness, relevance and applicability of stock assessment models currently in use for these fisheries", as per the DoA. Task 2.2 and deliverable 2.2 contributes towards these goals by creating a "Data Management Plan", as per the Horizon 2020 Open Research Data Pilot. The deliverable contains 14 forms detailing the content of all datasets used within FarFish, how it will be preserved, and steps taken to make data publically available after the project end. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 727891.
The overall goal of WP2 in FarFish is to "advance knowledge and collate data related to biological characteristics of the main fish stocks in the selected fisheries, and to evaluate the appropriateness, relevance and applicability of stock assessment models currently in use for these fisheries", as per the DoA. Task 2.2 and deliverable 2.2 contributes towards these goals by creating a "Data Management Plan", as per the Horizon 2020 Open Research Data Pilot. The deliverable contains 14 forms detailing the content of all datasets used within FarFish, how it will be preserved, and steps taken to make data publically available after the project end. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 727891.
The overall goal of WP2 in the FarFish project is to "advance knowledge and collate data related to biological characteristics of the main fish stocks in the selected fisheries, and to evaluate the appropriateness, relevance and applicability of stock assessment models currently in use for these fisheries", as presented in the project description (DoA). Task 2.2 and deliverable 2.2 contributes towards these goals by creating a "Data Management Plan" (DMP), in accordance with the Horizon 2020 Open Research Data Pilot. The DMP was initially developed in the first months of the project and was first published in month six (November 2017) of the project. The DMP has been regularly updated during the lifetime of the project and this is the fifth, and final (revised), version. The DMP contains 47 forms detailing the content of all datasets used within FarFish, how it will be preserved, and steps taken to make data publically available after the project end. ; This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 727891.
The presentation was given as part of the networking meeting Research Data Management Reloaded: Open Data and the Future of Research Data Management in the Social Sciences and Humanities that targeted research data management officers of universities, academic libraries and research institutes in German-speaking countries. The meeting involved a review of Open Data requirements and related infrastructures, e.g. in terms of best practice guidelines or data repositories, as well as of resources to assist researchers in processing Open Data, such as the FOSTER Plus Online Toolkit or the CESSDA Data Management Expert Guide.The meeting was part of the FOSTER Plus Project (Facilitate Open Science Training For European Research), funded by the EU (grant numbers 612425 and 741839). It took place on April 24th and 25th, 2019, at GESIS – Leibniz-Institute for the Social Sciences in Cologne, Germany. The course's language was German. It was supported by CESSDA Training, being a follow-up event of the CESSDA's Train- the-Trainers workshop in Ljubljana in April 2018. The major focus of this content driven session was on resources to do good research data management as well as to train and consult (young) researchers in doing so. In this context, Sebastian Netscher introduced the CESSDA Data Management Expert Guide as core sources to learn about research data management. The workshop consisted of several presentations: Introduction "Open Science und FAIR Data" http://doi.org/10.5281/zenodo.3925299 Das FOSTER Toolkit http://doi.org/10.5281/zenodo.3925327 CESSDA Data Management Expert Guide, Forschungsdatenmanagement Training Tool https://doi.org/10.5281/zenodo.3964385 Was bietet das GESIS Datenarchiv an? http://doi.org/10.5281/zenodo.3925380 Gemeinsam statt einsam, Beispiele für ein vernetztes Forschungsdatenmanagement http://doi.org/10.5281/zenodo.3925390 Hessische Forschungsdateninfrastruktur HeFDI- FDM als Landesinitiative http://doi.org/10.5281/zenodo.3925395 Verbund Forschungsdaten Bildung http://doi.org/10.5281/zenodo.3925399 CESSDA ERIC, Ein paneuropäisches Netzwerk sozialwissenschaftlicher Datenarchive http://doi.org/10.5281/zenodo.3925409
The presentation was given as part of the networking meeting Research Data Management Reloaded: Open Data and the Future of Research Data Management in the Social Sciences and Humanities that targeted research data management officers of universities, academic libraries and research institutes in German-speaking countries. The meeting involved a review of Open Data requirements and related infrastructures, e.g. in terms of best practice guidelines or data repositories, as well as of resources to assist researchers in processing Open Data, such as the FOSTER Plus Online Toolkit or the CESSDA Data Management Expert Guide.The meeting was part of the FOSTER Plus Project (Facilitate Open Science Training For European Research), funded by the EU (grant numbers 612425 and 741839). It took place on April 24th and 25th, 2019, at GESIS – Leibniz-Institute for the Social Sciences in Cologne, Germany. The course's language was German. It was supported by CESSDA Training, being a follow-up event of the CESSDA's Train- the-Trainers workshop in Ljubljana in April 2018. The major focus of this content driven session was on resources to do good research data management as well as to train and consult (young) researchers in doing so. In this context, Sebastian Netscher introduced the CESSDA Data Management Expert Guide as core sources to learn about research data management. The workshop consisted of several presentations: Introduction "Open Science und FAIR Data " - http://doi.org/10.5281/zenodo.3925299 Das FOSTER Toolkit - http://doi.org/10.5281/zenodo.3925327 CESSDA Data Management Expert Guide, Forschungsdatenmanagement Training Tool http://doi.org/10.5281/zenodo.3925373 Was bietet das GESIS Datenarchiv an? http://doi.org/10.5281/zenodo.3925380 Gemeinsam statt einsam, Beispiele für ein vernetztes Forschungsdatenmanagement http://doi.org/10.5281/zenodo.3925390 Hessische Forschungsdateninfrastruktur HeFDI- FDM als Landesinitiative - http://doi.org/10.5281/zenodo.3925395 Verbund Forschungsdaten Bildung http://doi.org/10.5281/zenodo.3925399 CESSDA ERIC, Ein paneuropäisches Netzwerk sozialwissenschaftlicher Datenarchive http://doi.org/10.5281/zenodo.3925409
Many managers are turning to universities in order to gain post-experience post-graduate qualifications in management - both to supplement their experience in career terms and to broaden their understanding of their practice. The design of such programmes encourage manager/researchers to undertake research studies in their own organisations - exposing these researchers to issues connected to researching amongst at least a partially known sample. This paper argues that manager/researchers are poorly served by the lack of discussion about the effect of researching in these 'incestuous fields'. The paper opens up some areas of debate around this issue and concludes by suggesting the basis of conversations that supervisors and students could have around this feature of management research.
To ensure maximum benefit is achieved from the investigations in a collaborative research network, it is essential that research data is managed effectively. However, there is no set model to follow. Normally an institution will establish its own policy and procedures applicable to their researchers and data. This causes difficulties for researchers sharing data across a collaborative network. Edith Cowan University (ECU) is one of fifteen Australian universities striving to create world-class research capacity and capability through investment in the Collaborative Research Network (CRN) project. The CRN project at ECU aims to accelerate the growth of research activity from 2011 until the end of 2014, in four key areas: Health, Education, ICT, and Environment. These areas align with both the Australian Government's National Research Priorities and ECU's strategic research plan. The CRN project will create a significant amount of new data and it is imperative that this data is managed so that it is secure, accessible and useable. Consequently, research data management policies, procedures and technical solutions are being developed to support this process.
Although research institutions take on increased responsibility for providing infrastructures and services around the proper handling of research data, there is no comprehensive framework addressing the ideal conditions of this implementation process. To overcome this gap, we present the DIAMANT model, a reference model aimed at providing an orientation framework for the implementation of research data management guided by the research process itself. It builds upon a central research data management information unit controlling the information flow between all other organizational units involved in research data management. Due to the possibility of outsourcing organizational units, the implementation process is maximally flexible and efficient.
In this paper we investigate the effect of different legal requirements and attitudes towards data protection, intellectual property, and ethical review processes and procedures in Germany and the UK to illustrate the divergence in regulation. We especially focus on formal and informal ways of data sharing across disciplines and countries, highlighting paths to ethical and responsible data sharing. Data archives often provide discipline specialized research data management support services. An aspect of support is addressing legal data protection requirements, intellectual property standards, and ethical research practices. Researchers encounter laws concerning data protection and intellectual property throughout the data-lifecycle, but established research practices can clash with new legal frameworks (see debate over the proposed reform of European Union data protection rules). Likewise, changing public attitudes to research and notions of consent can affect conceptions of what constitutes ethical research. Archives can help researchers navigate an environment which simultaneously pushes data sharing, and consideration of the individual's right to privacy and protection. However, doing so often requires negotiating the gaps and contradictions of different national laws, research cultures, and funding environments.
NRC-CISTI serves Canada as its National Science Library (as mandated by Canada's Parliament in 1924) and also provides direct support to researchers of the National Research Council of Canada (NRC). By reason of its mandate, vision, and strategic positioning, NRC-CISTI has been rapidly and effectively mobilizing Canadian stakeholders and resources to become a lead player on both the Canadian national and international scenes in matters relating to the organization and management of scientific research data. In a previous communication (CODATA International Conference, 2008), the orientation of NRC-CISTI towards this objective and its short- and medium-term plans and strategies were presented. Since then, significant milestones have been achieved. This paper presents NRC-CISTI's most recent activities in these areas, which are progressing well alongside a strategic organizational redesign process that is realigning NRC-CISTI's structure, mission, and mandate to better serve its clients. Throughout this transformational phase, activities relating to data management remain vibrant.
