Forschungsdaten-Policy / Research Data Policy, Freie Universität Berlin

This policy covers both research-relevant analog data, documents and objects that are digitized in the course of research, and genuinely digital data, documents and objects (“born digital”) that are created during a research process and are the object or result of research. In addition, information that ensures the documentation, traceability and – depending on the field of research – reproducibility of the results (metadata) also counts as research data.
 

Gegenstand der vorliegenden Policy sind sowohl forschungsrelevante, im Forschungsverlauf zu digitalisieren-de analoge Daten, Dokumente und Objekte, sowie genuin digitale Daten, Dokumente und Objekte („born digi-tal“), die während eines Forschungsprozesses entstehen, Forschungsgegenstand oder -ergebnis sind. Darüber hinaus zählen hier auch solche Informationen als Forschungsdaten, die die Dokumentation, Nachvollziehbar-keit und – abhängig vom Forschungsgebiet – Reproduzierbarkeit der Ergebnisse gewährleisten (Metadaten).

Guide to Accelerate Public Access to Research Data

“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….”

Libraries and Librarians as Key Partners in Accelerating Public Access to Research Data – Association of Research Libraries

“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….”

COVID-19 and the research scholarship ecosystem: help! – Journal of Clinical Epidemiology

Highlights

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

Abstract

Objectives

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.

Results

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.

Conclusion

Biomedical journals, funders and academic institutions should act to require stronger adherence to data sharing policies.

Guide to Accelerate Public Access to Research Data

“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….”

5 Things with Peter B. Kaufman

“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….”

 

Research Data Management

“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)….”

SPARC: Setting the Default to Open in Research and Education

“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….”

A Review of Open Research Data Policies and Practices in China

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.

 

Open call for policy enhancement support | FAIRsFAIR

“Based on an initial landscape assessment and the work of related initiatives, FAIRsFAIR has prepared a series of recommendations for policy enhancement (https://doi.org/10.5281/zenodo.3686900) to support the realisation of a FAIR ecosystem. We invite expressions of interest from policy makers at all levels to work with us to assess their current policies against these recommendations and to consider how the policies might be adapted to better support the emergence of a FAIR ecosystem.

We are keen to work with policy makers in various settings (national, funding body, publisher, organisational, research infrastructure, repository) and at different levels of policy development and implementation….”

CERN Announces New Open Data Policy in Support of Open Science

“The four main LHC collaborations (ALICE, ATLAS, CMS and LHCb) have unanimously endorsed a new open data policy for scientific experiments at the Large Hadron Collider (LHC), which was presented to the CERN Council today. The policy commits to publicly releasing so-called level 3 scientific data, the type required to make scientific studies, collected by the LHC experiments. Data will start to be released approximately five years after collection, and the aim is for the full dataset to be publicly available by the close of the experiment concerned. The policy addresses the growing movement of open science, which aims to make scientific research more reproducible, accessible, and collaborative….”

Statement on Final NIH Policy for Data Management and Sharing | National Institutes of Health (NIH)

“The extraordinary effort to speed the development of treatments and vaccines in response to the COVID-19 pandemic has put into sharp relief the need for the global science community to share scientific data openly. As the world’s largest funder of biomedical research, NIH is addressing this need with a new NIH Policy for Data Management and Sharing. This policy requires researchers to plan prospectively for managing and sharing scientific data generated with NIH funds. This policy also establishes the baseline expectation that data sharing is a fundamental component of the research process, which is in line with NIH’s longstanding commitment to making the research it funds available to the public….”