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….”

Focused business models and open-data policies key to accelerating uptake of climate services | News | CORDIS | European Commission

“Focusing mainly on finance, tourism and urban planning, EU-MACS project partners examined the structures and interactions of the different obstacles to the uptake of climate services, aiming to improve the design of policy scenarios and selection of appropriate policy instruments. They discovered that public and not-for-profit climate service providers need to better plan and evaluate their positions in the climate service value chain and adopt improved business models with a focus on collaborative needs-based climate services. In addition, an open-data policy at EU and Member State levels is a key element for a flourishing climate services market. Application of the project’s proposed policy packages in EU Member States, supported by EU-level initiatives on standardisation and market deployment monitoring, should accelerate the uptake and beneficial use of climate services across many sectors. “We loosely estimate that if the additional uptake of climate services takes place across the entire EU, this would represent easily a net societal benefit of several billion euro, as well as non-monetised benefits for societal resilience,” says project coordinator Adriaan Perrels of the Finnish Meteorological Institute.”

Research data management policy and practice in Chinese university libraries – Huang – – Journal of the Association for Information Science and Technology – Wiley Online Library

Abstract:  On April 2, 2018, the State Council of China formally released a national Research Data Management (RDM) policy “Measures for Managing Scientific Data”. In this context and given that university libraries have played an important role in supporting RDM at an institutional level in North America, Europe, and Australasia, the aim of this article is to explore the current status of RDM in Chinese universities, in particular how university libraries have been involved in taking the agenda forward. This article uses a mixed?methods data collection approach and draws on a website analysis of university policies and services; a questionnaire for university librarians; and semi?structured interviews. Findings indicate that Research Data Service at a local level in Chinese Universities are in their infancy. There is more evidence of activity in developing data repositories than support services. There is little development of local policy. Among the explanations of this may be the existence of a national?level infrastructure for some subject disciplines, the lack of professionalization of librarianship, and the relatively weak resonance of openness as an idea in the Chinese context.

 

2020 the year of open data? | Research Information

“If you had just one word to sum up what’s happening in the world of open data right now, it should be progress.

On 15 January the International Association of Scientific, Technical and Medical Publishers launched ‘STM 2020 Research Data Year’, an industry-wide initiative to expand the numbers of journals depositing data links as well as grow the volume of citations to datasets.

Then, two weeks later, eight university networks – representing more than 160 research-intensive universities worldwide – signed the Sorbonne Declaration on research data rights, which sets out the needs and benefits of having research data open, by default, wherever possible….”

D3.3 POLICY ENHANCEMENT RECOMMENDATIONS (DRAFT VERSION 1.0) | Zenodo

“FAIRsFAIR’s analysis of the data policy landscape in 2019 (D3.1 FAIR Policy Landscape Analysis) has shown that the priority and supporting actions outlined in the Turning FAIR into Reality (TFiR) report are being reflected in the policies of funding bodies, publishers/journals and Research Performing Organisations (RPOs) to some extent. However, as crucial components in the FAIR ecosystem, there is still much that needs to be done to foster and harmonise policies to support the aims of the European Open Science Cloud and realise the vision of TFiR. Based on this initial landscape assessment and the work of related initiatives, FAIRsFAIR has prepared a series of practical recommendations for policy enhancement to support the realisation of a FAIR ecosystem. These recommendations are released as a living document that will be refined to reflect the forthcoming work of other projects funded under the INFRAEOSC-05-2018-2019 call and other relevant initiatives. 

This is the draft version of the deliverable not yet approved by the European Commission. Though we can’t undertake to respond to every comment directly, we are seeking wide feedback on this deliverable which will inform discussions and further work within FAIRsFAIR as well as collaborations with other relevant projects. Comments and suggestions can be added until 17 April 2020 at: https://drive.google.com/file/d/1haEU9D-VPJkG7uwxvFBOVFZCxl7NK6wR/view?usp=sharing  ”

2020: A turning point for research data policy?

“An important tool, used by PLOS and others, for introducing a consistent data policy is a data availability statement in every published article. These statements indicate if, how and where the data supporting claims made in an article are available. Many journal and publisher research data policies still make data sharing and data availability statements optional rather than mandatory, but we welcome this steady progress on open research policies in the scholarly publishing community.

Since mandating data sharing and data availability statements in 2014, PLOS has published more than 127,000 articles with a data availability statement and more than one study has analysed them. 

Requiring a new section in every article published incurs costs, which at PLOS we see as a worthwhile investment in open research. It takes time, training and resources for editors, authors, peer reviewers and editorial office staff, so mandating these statements is understandably a consideration for other publishers of thousands of articles per year.

There is growing recognition from funders, academic societies, editorial groups such as the ICMJE, that data availability statements are a practical, achievable and meaningful improvement to support transparency in research….

The STM Association is recommending the use of a common policy framework for journal research data policy to promote consistent approaches to journal research data policies, at its wide variety of members.

The policy framework – published last week in a peer-reviewed journal after being available as a preprint – is an output of an initiative, begun in 2016, within the Research Data Alliance organisation. The framework includes 14 features, or common elements, of journal research data policies – including data citation, data repositories, and data peer review – and reusable policy text for journal editors and publishers to implement on their journals.

In 2019, we compared PLOS’ data availability policy to this framework and, as a first step, updated some of the language, such as to give explicit support for sharing Data Management Plans (DMPs) – a document increasingly required in funding agency data policies. In doing so, PLOS continues to lead the way, by being the first publisher, to our knowledge, to align its entire journal portfolio with this new framework. As well increasing data sharing, another anticipated benefit of harmonising policy is reducing the burden on researchers and support staff with different or conflicting requirements between journals, and funders. The framework also provides future opportunities to review data policy language to ensure requirements are easily understood….”