“On behalf of the Association of American Universities (AAU) and the Association of Public and Land-grant Universities (APLU), we are pleased to present this Guide to Accelerate Public Access to Research Data. The Guide is intended to serve as a resource to help university administrators develop robust support systems to accelerate sharing of research data. It provides advice to universities concerning actions they can take, as well as the infrastructure and support that may be required to improve access to research data on their respective campuses. It also offers examples of how institutions are approaching specific challenges to providing public access to research data and results. Advancing public access to research data is important to improving transparency and reproducibility of scientific results, increasing scientific rigor and public trust in science, and — most importantly — accelerating the pace of discovery and innovation through the open sharing of research results. Additionally, it is vital that institutions develop and implement policies now to ensure consistency of data management plans across their campuses to guarantee full compliance with federal research agency data sharing requirements. Beyond the establishment of policies, universities must invest in the infrastructure and support necessary to achieve the desired aspirations and aims of the policies. The open sharing of the results of scientific research is a value our two associations have long fought to protect and preserve. It is also a value we must continue to uphold at all levels within our universities. This will mean overcoming the various institutional and cultural impediments which have, at times, hampered the open sharing of research data….”
“The Association of American Universities (AAU) and the Association of Public and Land-grant Universities (APLU) have released their Guide to Accelerate Public Access to Research Data, the result of two years of work and national summits as part of the Accelerating Public Access to Research Data (APARD) program.
As a tool and framework for university administrators—specifically provosts, senior research officers, and IT leaders—the four-part guide is meant to “facilitate adoption of new institutional policies, procedures, and approaches that actively support and promote research data sharing, while at the same time ensuring rigor in the research process and the veracity of its intellectual outputs.” Included throughout the guide are recommendations, actions, and institutional examples and case studies for public access to research data….
Possible actions ARL member representatives can take with the release of the Guide to Accelerate Public Access to Research Data include:
Establish public access to research data as a library organization priority through incorporation into strategic plans, statements of principles, mission, and value statements.
Articulate the libraries’ role in accelerating public access to data with the mind frame of culture change. How is your library working from the bottom up (with faculty and graduate students), middle out (with department chairs and center directors) and top down (provosts, presidents, vice presidents for research, and others) to engage and influence public access to data?
Partner with campus stakeholders identified in the guide to begin mapping campus research data resources….”
Data sharing is not common as part of biomedical publications
To increase data sharing biomedical journals, funders and academic institutions should introduce policies that will enhance data sharing and other open science practices
As part of research assessments incentives and rewards need to be introduced
Data sharing practices remain elusive in biomedicine. The COVID-19 pandemic has highlighted the problems associated with the lack of data sharing. The objective of this article is to draw attention to the problem and possible ways to address it.
Study Design and Setting
This article examines some of the current open access and data sharing practices at biomedical journals and funders. In the context of COVID-19 the consequences of these practices is also examined.
Despite the best of intentions on the part of funders and journals, COVID-19 biomedical research is not open. Academic institutions need to incentivize and reward data sharing practices as part of researcher assessment. Journals and funders need to implement strong polices to ensure that data sharing becomes a reality. Patients support sharing of their data.
Biomedical journals, funders and academic institutions should act to require stronger adherence to data sharing policies.
“Advancing public access to research data is important to improving transparency and reproducibility of scientific results, increasing scientific rigor and public trust in science, and — most importantly — accelerating the pace of discovery and innovation through the open sharing of research results. Additionally, it is vital that institutions develop and implement policies now to ensure consistency of data management plans across their campuses to guarantee full compliance with federal research agency data sharing requirements. Beyond the establishment of policies, universities must invest in the infrastructure and support necessary to achieve the desired aspirations and aims of the policies. The open sharing of the results of scientific research is a value our two associations have long fought to protect and preserve. It is also a value we must continue to uphold at all levels within our universities. This will mean overcoming the various institutional and cultural impediments which have, at times, hampered the open sharing of research data….”
“Newtonian Principia for intellectual property thus would suggest that the natural laws of gravity for ideas and inventions require any and all of them eventually – some sooner than others, but all, eventually – to fall, drift, settle, end up, crash into . . . the public domain. The common good, in other words, is where these things ultimately arrive, by intent, by social design, by gravity, even with today’s intricate systems of private licenses and contracts.
One day, who knows, a grad student in the discipline might actually draft a formula free of the arbitrary time dimensions legislated by private interests, such that the proper pull of our public domain might be explained. Perhaps it would be a formula like Newton’s law of universal gravitation…where, irrespective of the form of the creative act (song, photo, poem, play, book, film, drawing, tapestry), there is some math that predicts when every act becomes fully part of our free common heritage. Intellectual property, as we call it, is not meant to be private, except for a term, and then it’s meant to be public forever….”
“As I have been working with domain repositories to understand and describe their practices and apply for Core Trust Seal certification, I have been struck by the close, long-term relationships that these repositories form with their communities. In some cases, like UNAVCO, the repository is an integral part of an extensive community support system that extends from proposal planning and writing, through project initiation and implementation, data collection, management, and archive, to publication of results and access to data by other community members. Scientists, engineers, logistics specialists, data managers, software developers, and educators work together to create and extend our understanding of the shape of the earth and how it changes (the science of Geodesy).
The UNAVCO Community described the responsibilities of players in open science communities during 2012 (https://doi.org/10.1029/2012EO260006) and developed an open data policy based on those responsibilities. These responsibilities included identifying datasets with PIDs and connecting data to papers with citations, that is, establishing an important element of the PID Graph: connections between papers and data.
I introduced the concept of Connectivity last month and have been thinking about it ever since. Connectivity measures how well research objects or collections of research objects are connected to the global research web, represented by the PID Graph. These connections depend on identifiers for all kinds of research objects. I am initially focusing on people, identified by ORCIDs, and organizations, identified by RORs.
As the breadth of identifiers and connections continues to expand, I made the leap from the strong connections between real people and organizations in the UNAVCO Community and connections between these entities in the PID Graph. Specifically, I wondered if the multitudinous real-world connections could help populate identifiers in the metadata and related connections in the PID Graph. I begin the exploration of this question here with UNAVCO datasets described in DataCite….”
“The Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council (NSERC) and the Social Sciences and Humanities Research Council (SSHRC) (the agencies) are pleased to announce the launch of the Tri-Agency Research Data Management Policy. The agencies would like to thank the stakeholders and partners who contributed to the policy’s development….
The policy includes requirements related to institutional research data management (RDM) strategies, data management plans (DMPs), and data deposit. It is aligned with the data deposit requirement in the Tri-Agency Open Access Policy on Publications (2015), CIHR’s Health Research and Health-Related Data Framework (2017), the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans—TCPS 2 (2018), and the agencies’ Setting new directions to support Indigenous research and research training in Canada 2019-2022 (2019)….”
“This is a community resource for tracking, comparing, and understanding current U.S. federal funder research data sharing policies. Originally completed by SPARC & Johns Hopkins University Libraries in 2016, the content of this resource was updated by RDAP and SPARC in 2021….”
Abstract: This paper initially conducts a literature review and content analysis of the open research data policies in China. Next, a series of exemplars describe data practices to promote and enable the use of open research data, including open data practices in research programs, data repositories, data journals, and citizen science. Moreover, the top four driving forces are identified and analyzed along with their responsible guiding work. In addition, the “landscape of open research data ecology in China” is derived from the literature review and from observations of actual cases, where the interaction and mutual development of data policies, data programs, and data practices are recognized. Finally, future trends of research data practices within China and internationally are discussed. We hope the analysis provides perspective on current open data practices in China along with insight into the need for additional research on scientific data sharing and management.
“A catalogue of data preservation, management and sharing policies from international funding agencies, regulators and journals….”