Open Science in Research Projects: Library supports from Grant Proposal to Final Report | ZBW MediaTalk

“If open science aspects of research projects are not planned in the early stage of writing a grant proposal, a lot of problems may occur during the projects’ lifetime. On the other hand, offering support to researchers is an opportunity for libraries to have happy patrons and build long lasting relationships with researchers that become the best ambassadors for open science. Romain Féret gives an insight into the open science service of the University of Lille and its experiences….”

European Dataverse Workshop 2020

“Are you looking for a repository software to run your research data repository?

Are you already using Dataverse and want to exchange experiences and learn more about Dataverse?

>> Join us at the European Dataverse Workshop 2020!

Date: January 23-24, 2020 Venue: UiT The Arctic University of Norway

Dataverse is an open source web application to share, preserve, cite, explore, and analyze research data.

For more information about the European Dataverse Workshop 2020, see the workshop webpage.


Save the date!”

Open Science in Switzerland: Opportunities and Challenges | 2019 | Publication | Sciences Switzerland

“The factsheet addresses the scientific community, science organisations and decisionmakers. Key recommendations concern the promotion of Open Access schemes to disseminate scientific results as widely as possible, alternative cooperation and financing models for scientists and publishers, publishing under Creative Commons (CC) licenses, reward mechanisms for Open Access publications and data management work as well as issues related to data storage.

This factsheet will be presented at a panel discussion on Friday, 13 September, in the House of Academies. Participants: Rafael Ball (ETH Library), Daniel Marty (Swiss Journal of Geosciences), Sabine Süsstrunk (EPF Lausanne) and Franck Vazquez (Multidisciplinary Digital Publishing Institute MDPI)….”

HEAL Public Access and Data Sharing Policy | National Institutes of Health (NIH)

“In response to the public health emergency of opioid misuse, addiction and overdose, NIH has launched the HEAL (Helping to End Addiction Long-termSM) Initiative. The NIH HEAL InitiativeSM is a trans-agency effort focused on improving prevention and treatment strategies for opioid misuse and addiction and enhancing pain management. As part of its response to this crisis, NIH intends to maximize the availability of Publications and the sharing of underlying data for NIH-Supported HEAL research projects. Given the urgency of this crisis as highlighted by the declared public health emergency, rapid availability of Publications and the primary data behind them promotes dissemination of new knowledge, enhances reproducibility, and accelerates the ability of researchers to build upon HEAL research to make new discoveries.

Through the HEAL Initiative Public Access and Data Sharing Policy (the “Policy”), NIH seeks to create an infrastructure that addresses the need for researchers, clinicians, and patients to collaborate on sharing their collective data and knowledge about opioid misuse and pain to provide scientific solutions to the opioid crisis. Under the Policy, applicants for extramural research funding (grants, cooperative agreements, contracts, and other transactions) (collectively, “Applicants”), for HEAL research projects are required to submit a Public Access and Data Sharing Plan that (1) describes their proposed process for making resulting Publications and to the extent possible, the underlying Primary Data immediately and broadly available to the public; or (2) if applicable, provides a justification to NIH if such sharing is not possible. Underlying Primary Data should be made as widely and freely available as possible while safeguarding the privacy of participants, and protecting confidential and proprietary data….”

Reference Librarian/Scholarly Communication Coordinator – 105630 Job Opening in Pensacola, Florida – ALA JobLIST | Jobs in Library & Information Science & Technology

“As the Scholarly Communications Coordinator, responsibilities include:


Develop, implement, and coordinate scholarly communication services to expand the Library’s support of the creation and dissemination of UWF’s scholarly output.
Increase the knowledge of faculty, students, and staff through education, promotion, and outreach regarding scholarly communication topics such as open access, open educational resources, data management planning, scholarly identity, and research impact
Promote and grow the use of the campus’ Institutional Repository
Monitor and report on national scholarly communication trends, policy issues, and best practices….”

Dear Colleague Letter: Effective Practices for Data (nsf19069) | NSF – National Science Foundation

Open science principles are increasingly being adopted by industry, government, and academia. Open science gives rise to public benefits by offering broader access to publication, data, and other research materials; broader access enables broader circulation of scientific knowledge, greater return on investments in research data, and more opportunities for replicating and building upon scientific findings.

NSF’s open science policy is articulated in the Foundation’s Public Access Plan (NSF 15-052) and formally implemented in the NSF Proposal and Award Policies and Procedures Guide and in the Award Terms and Conditions that accompany each award that NSF makes. Implications of this policy are further clarified in an actively-maintained set of Frequently Asked Questions (NSF 18-041).

The purpose of this Dear Colleague Letter (DCL) is to describe — and encourage — effective practices for managing research data1, including the use of persistent identifiers (IDs) for data and machine-readable data management plans (DMPs)….”

Electronic Lab Notebooks | Harvard Biomedical Data Management

Lab notebooks are good for writing down procedures, observations, conclusions and for drawing flow charts and diagrams by hand. However, in order to accommodate the increase of digital data collected, researchers have taped instrumentation and computer printouts onto the pages of their notebooks, or cross-referenced larger data sets by recording file names and locations in the notebook.

An ELN (electronic lab notebook) is a software tool that in its most basic form replicates an interface much like a page in a paper lab notebook. In this electronic notebook you can enter protocols, observations, notes, and other data using your computer or mobile device. This offers several advantages over the traditional paper notebook.

The number of available ELN tools is increasing and the functions of each are quickly changing. As a result, it may be confusing to evaluate all of the advantages and limitations of each when looking for the right solution for your project.

The Electronic Lab Notebook Matrix has been created to aid HMS researchers in the process of identifying a usable Electronic Lab Notebook solutions to meet their specific research needs. Through this resource, researchers can compare and contrast the numerous solutions available today, and also explore individual options in-depth….”

Ten principles for machine-actionable data management plans

Data management plans (DMPs) are documents accompanying research proposals and project outputs. DMPs are created as free-form text and describe the data and tools employed in scientific investigations. They are often seen as an administrative exercise and not as an integral part of research practice.

There is now widespread recognition that the DMP can have more thematic, machine-actionable richness with added value for all stakeholders: researchers, funders, repository managers, research administrators, data librarians, and others. The research community is moving toward a shared goal of making DMPs machine-actionable to improve the experience for all involved by exchanging information across research tools and systems and embedding DMPs in existing workflows. This will enable parts of the DMP to be automatically generated and shared, thus reducing administrative burdens and improving the quality of information within a DMP.

This paper presents 10 principles to put machine-actionable DMPs (maDMPs) into practice and realize their benefits. The principles contain specific actions that various stakeholders are already undertaking or should undertake in order to work together across research communities to achieve the larger aims of the principles themselves. We describe existing initiatives to highlight how much progress has already been made toward achieving the goals of maDMPs as well as a call to action for those who wish to get involved….”

FAIR Principles – GO FAIR

In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the findability, accessibility, interoperability, and reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data….”

The originally URL for this site is now dead. Here’s an archived copy:


“This roadmap for the next two years outlines a selection of Trump Administration objectives to make government information more open and accessible for developers, academics, entrepreneurs and everyday Americans….

3) Provide Public Access to Federally Funded Research

Primarily through the National Science and Technology Council (Council), the White House Office of Science and Technology Policy coordinates United States efforts to make the results of Federally funded scientific research more accessible and useful to the public, industry, and the scientific community. In the Council’s Subcommittee on Open Science, thirty-two United States agency funders collaborate to improve the preservation, discoverability, accessibility, and usability of Federally funded scientific research, with the aims of bolstering the reliability of that research, accelerating scientific discovery, stimulating innovation, enhancing economic growth and job creation.

In 2018, the Subcommittee on Open Science was re-chartered to promote open science principles across the Federal Government and increase public access to Federally-funded research results. The Subcommittee’s priorities include: (1) Facilitating coordination across Federal Government agencies on open science efforts; (2) Developing appropriate incentives to encourage researchers to adopt open science principles; (3) Streamlining and synchronizing agency and researcher data management practices for maximum utility to the public; (4) Collaborating with academia, researcher communities, and industry toward the development of research data standards that further open science. As part of the Subcommittee’s objectives, it will develop a report that provides recommendations for improvements to existing Federal open access policies and continued collaboration between agencies on achieving open access objectives….”


“At the European Open Science Cloud (EOSC) Summit in June 2017, I made a commitment to champion the alignment of research data management (RDM) among research funding organisations in Europe. This commitment was the origin of an initiative for that purpose, launched by Science Europe and the Netherlands Organisation for Scientific Research (NWO) in January 2018. The aim of the initiative was to develop a set of core requirements for data management plans (DMPs), as well as a list of criteria for the selection of trustworthy repositories where researchers can store their data for sharing. In light of the development of the EOSC and an increasing tendency towards data sharing, these requirements and criteria should help to harmonise rules on data management throughout Europe. This will aid researchers in complying with RDM requirements even when working with different research funders and research organisations. Less than a year after its launch, I am pleased to introduce the results of this endeavour. These core requirements for DMPs and criteria for the selection of trustworthy repositories have been developed by experts from Science Europe’s Member Organisations, who have sought additional input from external stakeholders to ensure a broad consensus….”

From Open Access to Open Data: collaborative work in the university libraries of Catalonia

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.

DIRISA – Data Intensive Research Initiative of South Africa

“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. …”

Open Science Policy Statements for AHA Funded Research

” ‘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….”

Long-term Sustainability of Research Infrastructures: Science Europe’s Offer to Contribute to Ongoing Efforts

“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.”