This poster will trace new patterns of collaboration in establishing programs for research data management in a Canadian context. The University of Guelph Library Research Enterprise and Scholarly Communications team has broadened its relationships with other campus units as well as other institutions to strengthen training program development for graduate students and faculty. Our work includes partnership in a multi-university team creating training modules for graduate students in Ontario. We have worked with a provincial government ministry to create a data repository for agri-environmental research and are working with a non-profit group assisting in the development of a discipline-specific repository. These are just a few examples of initiatives we have undertaken over the past year.
This paper describes the plans and strategies to develop Portage, a national network of sustainable, shared services for research data management (RDM) in Canada. A description of the RDM context in Canada is provided. This environment has heightened expectations around the Government of Canada's Open Science plans and includes deliverables aimed at improving access to publications and data resulting from federally funded scientific activities. At the same time, a recent environmental scan published by Canada's three federal research granting councils reveals significant gaps in services, infrastructure, and funding mechanisms to support RDM. In addition, Canada's RDM environment consists of stakeholders from a variety of communities with minimal ongoing coordination or cooperation. The Portage network was conceived as a collaborative network model based on libraries' strong connections with researchers across the disciplines, an ethos of curation and preservation, and experience with systems for managing data in all its forms. A pilot project provided Portage with a vision and set of principles, and identified several objectives as the small wins that would build the trust and shared understanding required for a successful network. Current services and activities of Portage, including a data management planning tool and an infrastructure project, are described in this paper. Portage now faces the challenge of moving from project to operational network, and the challenge of establishing a sustainable governance model. CARL appointed a Steering Committee that will be proposing a full governance model at the conclusion of this transition period. Using a framework of factors identified in the literature, several relevant collaborative and network governance models are being explored.This paper outlines experience to date with Portage and matters under consideration for long-term sustainability, with a goal of engaging international colleagues in discussion and furthering the concepts for the benefit of RDM networks everywhere.
This paper describes the plans and strategies to develop Portage, a national network of sustainable, shared services for research data management (RDM) in Canada. A description of the RDM context in Canada is provided. This environment has heightened expectations around the Government of Canada's Open Science plans and includes deliverables aimed at improving access to publications and data resulting from federally funded scientific activities. At the same time, a recent environmental scan published by Canada's three federal research granting councils reveals significant gaps in services, infrastructure, and funding mechanisms to support RDM. In addition, Canada's RDM environment consists of stakeholders from a variety of communities with minimal ongoing coordination or cooperation. The Portage network was conceived as a collaborative network model based on libraries' strong connections with researchers across the disciplines, an ethos of curation and preservation, and experience with systems for managing data in all its forms. A pilot project provided Portage with a vision and set of principles, and identified several objectives as the small wins that would build the trust and shared understanding required for a successful network. Current services and activities of Portage, including a data management planning tool and an infrastructure project, are described in this paper. Portage now faces the challenge of moving from project to operational network, and the challenge of establishing a sustainable governance model. CARL appointed a Steering Committee that will be proposing a full governance model at the conclusion of this transition period. Using a framework of factors identified in the literature, several relevant collaborative and network governance models are being explored. This paper outlines experience to date with Portage and matters under consideration for long-term sustainability, with a goal of engaging international colleagues in discussion and furthering the concepts for the benefit of RDM ...
The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally. Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners.
The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians. It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities.
A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community.
The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM. Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.
Within the agreement on the establishment and promotion of a National Research Data Infrastructure (NFDI), the Federal German Government and the Länder are striving for a discipline-specific service structure for research data, which aims for their long-term storage, safeguarding and accessibility. In the field of the applied urban research, data from different sectors such as administration, buildings, environment, mobility, social affairs must be considered and linked. In this workshop the NFDI4City-initiative met and discussed its overall vision, conceptual solutions as well as data domains inside and across these sectors. The goal of NFDI4City is to create new databased overarching understandings of urban development through standardization and data analysis in the "Urban System".
In recent years, the academic research data management (RDM) community has worked closely with funding agencies, university administrators, and researchers to develop best practices for RDM. The RDM community, however, has spent relatively little time exploring best practices used in non-academic environments (industry, government, etc.) for management, preservation, and sharing of data. In this poster, we present the results of a project wherein we approached a number of non-academic corporations and institutions to discuss how data is managed in those organizations and discern what the academic RDM community could learn from non-academic RDM practices. We conducted interviews with 10-20 companies including tech companies, government agencies, and consumer retail corporations. We present the results in the form of user stories, common themes from interviews, and summaries of areas where the RDM community might benefit from further understanding of non-academic data management practices.
In recent years, the academic research data management (RDM) community has worked closely with funding agencies, university administrators, and researchers to develop best practices for RDM. The RDM community, however, has spent relatively little time exploring best practices used in non-academic environments (industry, government, etc.) for management, preservation, and sharing of data. In this poster, we present the results of a project wherein we approached a number of non-academic corporations and institutions to discuss how data is managed in those organizations and discern what the academic RDM community could learn from non-academic RDM practices. We conducted interviews with 10-20 companies including tech companies, government agencies, and consumer retail corporations. We present the results in the form of user stories, common themes from interviews, and summaries of areas where the RDM community might benefit from further understanding of non-academic data management practices.
This poster was presented during the 11th International Digital Curation Conference "Visible data, invisible infrastructure", 22 - 25 February 2016, in Amsterdam, Netherlands.
Recent advances in digital technology and the data-driven science paradigm has led to a proliferation of research data, which are becoming more important in scholarly communications. The sharing and reuse of research data can play a key role in enhancing the reusability and reproducibility of research, and data from publicly funded projects are assumed to be public goods. This is seen as a movement of open science and, more specifically, open research data. Many countries, such as the USA, UK, and Australia, are pushing ahead with implementing policies and infrastructure for open research data. In this paper, we present survey results pertaining to the creation, management, and utilization of data for researchers from government-funded research institutes of science and technology in Korea. We then introduce recent regulations stipulating a mandated data management plan for national R&D projects and on-going efforts to realize open research data in Korea.
This presentation at the annual BCNET 2018 conference describes the work towards developing Portage, a national network of sustainable, shared services for research data management (RDM) in Canada. A description of the RDM context in Canada will be provided, including an overview of major Portage initiatives. We will also cover the heightened expectations around the Government of Canada's Open Science plans, Tri-Council work towards the Research Data Management Policy. After providing this introductory background, we will specifically focus on the Federated Research Data Repository (FRDR) — a scalable, federated platform for digital research data management and discovery of Canadian research data, collaboratively developed by Compute Canada and Portage. We will discuss the discovery and harvesting mechanisms for FRDR, metadata standards used, storage options, and digital preservation pipelines to Archivematica software. Moreover, we will review the strengths and limitations of the current platform and cover expected future developments. ; Library, UBC ; Non UBC ; Unreviewed ; Faculty ; Other
Considerations of sharing research data when publishing in academic sciences journals have become increasingly common in the last decade thanks to mandates by national and international granting agencies. Yet, similar directives for social and behavioral sciences journals have been slow to gain traction. This presentation explores the presence of research data management language in manuscript submission directions for the top 136 academic journals in sociology, psychology, political science, and general social sciences as determined by 2015/2016 Scimago and Eigenfactor journal rankings. Official journal websites were examined via content analysis for specific data policies, as well as general mentions of data sharing and data management. The presentation makes unique contributions to existing data management and scholarly communications literature by: 1) drawing attention to data language used by publishers of social and behavioral sciences journals; 2) examining existing data policies and requirements for publication from journals; and 3) discussing how brief or non-existent journal data policies interrupt the data lifecycle.
As any lover of the game of baseball knows, at this time of year it's all about depth – what you built in the farm system and on the bench matters; the data crunched before and during the season comes into play when managing a team to the World Series. Gut feelings and hunches matter too. Since being affected by the Federal government's open data requirements, libraries and their institutions have been building research data management services and opportunities for researchers. There were libraries and institutions ready to jump into the fray of an ever-evolving RDM landscape, and currently, these services are being assessed in order to expand the depth and breadth of their RDM offerings.
