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….”

ARL Comments on Draft NIH Policy for Data Management and Sharing – Association of Research Libraries

“On November 6, 2019, the US National Institutes of Health (NIH) published a request for public comments on a DRAFT NIH Policy for Data Management and Sharing and supplemental DRAFT guidance. NIH has a long history of promoting public access to the research it funds, including policies for sharing scientific data generated from large awards, genomic data, and data from clinical trials.

The Association of Research Libraries (ARL) welcomes the opportunity to comment on these new draft policies, expanding the guidance on data sharing to all extramural awards, contracts, intramural research projects, and other funding agreements. ARL offers these comments in consultation with member representatives, experts in the data librarian community, and through consultation with a wider group of institutional stakeholders who recently met to draft implementation guidelines for effective data practices recommended by the US National Science Foundation….”

The Beijing Declaration on Research Data

Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now.

The Beijing Declaration on Research Data

Grand challenges related to the environment, human health, and sustainability confront science and society. Understanding and mitigating these challenges in a rapidly changing environment require data[1] to be FAIR (Findable, Accessible, Interoperable, and Reusable) and as open as possible on a global basis. Scientific discovery must not be impeded unnecessarily by fragmented and closed systems, and the stewardship of research data should avoid defaulting to the traditional, proprietary approach of scholarly publishing. Therefore, the adoption of new policies and principles, coordinated and implemented globally, is necessary for research data and the associated infrastructures, tools, services, and practices. The time to act on the basis of solid policies for research data is now.

NIH to Host Informational Webinar on the Draft NIH Policy for Data Management and Sharing and Supplemental Draft Guidance on Dec. 16 | Data Science at NIH

“NIH will be hosting an informational public webinar on the Draft NIH Policy for Data Management and Sharing and Supplemental Draft Guidance on Monday, Dec. 16, 2019, from 12:30 – 2 p.m. ET. The purpose of this webinar is to provide information on the draft policy and answer any clarifying questions about the public comment process. Public comments will not be accepted via the webinar but must instead be sent through the link provided below….”