“Research Data Management Among Life Sciences Faculty” by Kelly A. Johnson and Vicky Steeves

Abstract:  Objective: This paper aims to inform on opportunities for librarians to assist faculty with research data management by examining practices and attitudes among life sciences faculty at a tier one research university.

Methods: The authors issued a survey to estimate actual and perceived research data management needs of New York University (NYU) life sciences faculty in order to understand how the library could best contribute to the research life cycle.

Results: Survey responses indicate that over half of the respondents were aware of publisher and funder mandates, and most are willing to share their data, but many indicated they do not utilize data repositories. Respondents were largely unaware of data services available through the library, but the majority were open to considering such services. Survey results largely mimic those of similar studies, in that storing data (and the subsequent ability to share it) is the most easily recognized barrier to sound data management practices.

Conclusions: At NYU, as with other institutions, the library is not immediately recognized as a valuable partner in managing research output. This study suggests that faculty are largely unaware of, but are open to, existent library services, indicating that immediate outreach efforts should be aimed at promoting them.

The Big Data Challenge – Recommendations by Mercè Crosas – Big Data Value

“Currently, Mercè’s team is in the process of implementing datatags for datasets in the Harvard Dataverse repository. This has been a big task due to legal compliance issues, security requirements and the conditions set by various data agreements. These datasets often contain sensitive information about individuals and therefore safeguards need to be put in place to protect these individuals. Policies on data sharing play a critical role in balancing the benefits and risks. The average citizen wants privacy and safety of his data but has little time for data governance. As the amount of data driven products is only expected to increase, so is the demand of citizens for privacy management. It is important to map the data beforehand because the manner in which relevant regulation is to be attached to the data is dependent on the data itself. When regulation changes, the datatags will have to be adopted as well, for instance by providing an updated version of the tag. For these purposes, they teamed up with lawyers helping them with the verification of the datatags. More recently, Mercè has been involved with the OpenDP project as one of the co-PIs, an open-source platform for differential privacy libraries. This work would allow to mine and analyze sensitive datasets while preserving their privacy and never been accessed directly by the researchers. Dataverse, DataTags, and OpenDP will together provide a privacy-preserving platform for sharing and analyzing sensitive data….”

Ethiopia adopts a national open access policy | EIFL

“The new national open access policy adopted by the Ministry of Science and Higher Education of Ethiopia (MOSHE) will transform research and education in our country. The policy comes into effect immediately. It mandates open access to all published articles, theses, dissertations and data resulting from publicly-funded research conducted by staff and students at universities that are run by the Ministry – that is over 47 universities located across Ethiopia.

In addition to mandating open access to publications and data, the new policy encourages open science practices by including ‘openness’ as one of the criteria for assessment and evaluation of research proposals. All researchers who receive public funding must submit their Data Management Plans to research offices and to university libraries for approval, to confirm that data will be handled according to international FAIR data principles. (FAIR data are data that meet standards of Findability, Accessibility, Interoperability and Reusabililty.)…”

Ethiopia adopts a national open access policy | EIFL

“The new national open access policy adopted by the Ministry of Science and Higher Education of Ethiopia (MOSHE) will transform research and education in our country. The policy comes into effect immediately. It mandates open access to all published articles, theses, dissertations and data resulting from publicly-funded research conducted by staff and students at universities that are run by the Ministry – that is over 47 universities located across Ethiopia.

In addition to mandating open access to publications and data, the new policy encourages open science practices by including ‘openness’ as one of the criteria for assessment and evaluation of research proposals. All researchers who receive public funding must submit their Data Management Plans to research offices and to university libraries for approval, to confirm that data will be handled according to international FAIR data principles. (FAIR data are data that meet standards of Findability, Accessibility, Interoperability and Reusabililty.)…”

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:

http://web.archive.org/web/20160122052715/www.datafairport.org/fair-principles-living-document-menu

THE OPEN GOVERNMENT PARTNERSHIP: FOURTH OPEN GOVERNMENT NATIONAL ACTION PLAN FOR THE UNITED STATES OF AMERICA, February 2019

“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….”

PRACTICAL GUIDE TO THE INTERNATIONAL ALIGNMENT OF RESEARCH DATA MANAGEMENT

“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….”