Abstract: In the last years, the scientific community and funding bodies have paid attention to collected, generated or used data throughout different research activities. The dissemination of these data becomes one of the constituent elements of Open Science. For this reason, many funders are requiring or promoting the development of Data Management Plans, and depositing open data following the FAIR principles (Findable, Accessible, Interoperable and Reusable). Libraries and research offices of Catalan universities –which coordinately work within the Open Science Area of CSUC– offer support services to research data management. The different works carried out at the Consortium level will be presented, as well the implementation of the service in each university.
“The Data Intensive Research Initiative of South Africa (DIRISA) forms part of the National Integrated Cyber Infrastructure System (NICIS).
DIRISA aims to fulfil the following:
- Implement a Certified Tier 1 (national) Trusted Repository for research data and to operationally deploy and maintain data services and virtual research environments that enable researchers to leverage this ICT platform for data intensive research.
- Initiate the establishment of federated Tier 2 (regional) data repositories that support thematic data intensive research and capacity development.
- DIRISA is required to formulate national strategic frameworks for data intensive research and data stewardship; as part of its role to advocate and promote research data sharing and sound data management. …”
” ‘Outbound’ Public Access
The American Heart Association (AHA) requires that all journal articles resulting from AHA funding (“outbound” research) be made freely available in PubMed Central (PMC) within 12 months of publication. It is the responsibility of the awardee to ensure journal articles are deposited into PMC….
‘Inbound’ Public Access
All original research articles in the 11 subscription-model AHA journals (“inbound” research) are made freely available on each respective journal website 6 months after publication. All non-original research articles are made freely available on each respective journal web site 12 months after publication. Scientific statements and clinical practice guidelines are made freely available immediately on publication.
The Journal of the American Heart Association (JAHA) is the AHA open access journal. Because it utilizes an author pays model, the author pays for publication costs and retains copyright. The AHA is granted a nonexclusive license of all rights of copyright in and to the article. JAHA articles are deposited in PMC on publication….”
“Recommendations 24 to 27 encourage the use of RIs [research infrastructures] to enhance data production and sharing. Science Europe supports this principle: as the move towards openness continues to develop through policies such as the Open Science agenda, many RFOs [research funding organizations] and RPOs [research performing organizations] have formulated policies, requirements, and templates for research data management (RDM) and data management plans (DMPs). Science Europe advocates for international alignment of RDM policies by exploring ways to establish core RDM requirements.3 As various research communities become increasingly data-intensive or highly protocolled, this would allow for an optimal creation, curation, and re-use of data to advance technological and societal developments.”
“The Countway Library of Medicine at the Harvard Medical School has received funding from the NIH Big Data to Knowledge (BD2K) Initiative for Research Education, to develop a Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data. This MOOC is is built upon and expands the training materials of the New England Collaborative Data Management Curriculum (NECDMC), developed by several libraries in the New England region.
The Best Practices for Biomedical Research Data Management course is hosted by the Canvas Network and provides training to librarians, biomedical researchers, undergraduate and graduate biomedical students, and other individuals interested on best practices for discoverability, access, integrity, reuse value, privacy, security, and long term preservation of biomedical research data. The course is free and self-paced….”
“Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.
In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.
This course is designed to address present and future data management needs….”
“In July 2017, the Wellcome Trust updated their policy on the management and sharing of research outputs. This policy helps deliver Wellcome’s mission – to improve health for everyone by enabling great ideas to thrive. The University of Cambridge’s Research Data Management Facility invited Wellcome Trust to Cambridge to talk with their funded research community (and potential researchers) about what this updated policy means for them. On 5th December in the Gurdon Institute Tea Room, the Deputy Head of Scholarly Communication Dr Lauren Cadwallader, welcomed Robert Kiley, Head of Open Research, and David Carr, Open Research Programme Manager, from the Wellcome’s Open Research Team.
This blog summarises the presentations from David and Robert about the research outputs policy and how it has been working and the questions raised by the audience….”
“Wednesday, Oct 18, 2017 – 9:00am to 12:00pm
There are many actions researchers can take to increase the openness and reproducibility of their work. Please join us for a workshop, hosted by the Center for Open Science, to learn easy, practical steps researchers can take to increase the reproducibility of their work. The workshop will be hands-on. Using example studies, attendees will actively participate in creating a reproducible project from start to finish.
- Project documentation
- Version control
- Pre-Analysis plans
- Open source tools like the Center for Open Science’s Open Science Framework to easily implement these concepts in a scientific workflow.”
“Please join us for a workshop, hosted by the Center for Open Science and JHU Data Management Services, to learn easy, practical steps researchers can take to increase the reproducibility of their work.
The workshop will be hands-on. (Please bring a laptop if possible.) Using an example study, attendees will actively participate in creating a reproducible project from start to finish.
Topics covered include:
- Project documentation
- Version control
- Pre-analysis plans
- Open source tools: in this specific instance, the Open Science Framework to easily implement these concepts in one easily accessible space”