The State of Open Data 2020 #StateOfOpenData – Digital Science

“Our portfolio company, Figshare, has today launched its annual report The State of Open Data 2020. The report is the fifth in the series and includes survey results and a collection of articles from global industry experts, as well as a foreword from Dr Leslie McIntosh, CEO of Ripeta and Executive Director, Emeritus – Research Data Alliance US.

The State of Open Data is now the longest running longitudinal study on the subject, which was created in 2016, to examine attitudes and experiences of researchers working with open data – sharing it, reusing it, and redistributing it.

This year’s survey received around 4,500 responses from the research community and had an additional focus on research practices in the wake of the COVID-19 pandemic. It asked researchers how the pandemic was impacting their ability to carry out research, and their views on reuse of data and collaboration….”

Research Data Services in US Higher Education | Ithaka S+R

“This report presents the results of an inventory of research data services offered by US colleges and universities using a systematic web searching process. Our results represent a holistic, quantitative picture of services that support data-driven research across organizational units and institutional types.

In addition to sharing these findings, we have also provided extensive methodological documentation in hopes of inspiring and enabling future research. Until now, there has been no effective methodology for capturing quantitative data about the provision and organization of research data services across diverse institutional structures. Although there are limitations to this type of web-based inventory, the advantages over other research methods, such as surveys, are significant for measuring what research data services are offered and where. We discuss the scope of our study below and provide additional methodological details in the Appendix….”

Who Does What? – Research Data Management at ETH Zurich

Abstract:  We present the approach to Research Data Management (RDM) support for researchers taken at ETH Zurich. Overall requirements are governed by institutional guidelines for Research Integrity, funders’ regulations, and legal obligations. The ETH approach is based on the distinction of three phases along the research data life-cycle: 1. Data Management Planning; 2. Active RDM; 3. Data Publication and Preservation. Two ETH units, namely the Scientific IT Services and the ETH Library, provide support for different aspects of these phases, building on their respective competencies. They jointly offer trainings, consulting, information, and materials for the first phase.

The second phase deals with data which is in current use in active research projects. Scientific IT Services provide their own platform, openBIS, for keeping track of raw, processed and analysed data, in addition to organising samples, materials, and scientific procedures.

ETH Library operates solutions for the third phase within the infrastructure of ETH Zurich’s central IT Services. The Research Collection is the institutional repository for research output including Research Data, Open Access publications, and ETH Zurich’s bibliography.

RDM-Services – Events – GÉANT federated confluence

“This collaborative workshop will explore different service delivery models that research institutions can adopt when supporting data management. These could apply to research information management systems (CRIS), data repositories, e-Lab notebooks and many other platforms.

Delivery models typically include open source software that is supported in-house, outsourced hosting of OSS, vendor-supported commercial services, and bespoke institutional services. Various partnership models supported by institutional groups, national consortia and NRENs will also be explored.

The workshop will run adjacent to the 16th Research Data Alliance plenary in Costa Rica. In order to support international participation, all sessions will take place daily at 20:00-22:00 UTC – Check your timezone here.  Attendees can sign up for individual sessions.

Monday 2nd November: Opening panel and workshop introduction
Tuesday 3rd November: Procurement pain points
Wednesday 4th November: Open Source business models
Thursday 5th November: Partnerships
Friday 6th November: Closing discussion …”

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.

 

Research Data Management and FAIR data: importance, challenges and opportunities. | Zenodo

“On Thursday, 28 May, the INOS project: Integrating Open and Citizen Science into active learning approaches in Higher Education organised a virtual Learning and Train-the-Trainer Activity (LTTA) targeting the project partner team. The main goal of the activity was to enhance the project partners’ skills in order for them to be able to deliver other Open Knowledge and Open Innovation Activities later in the project. LIBER, taking the lead on the training, organized a virtual training session on  Research Data Management entitled ‘Research Data Management (RDM) and FAIR data: importance, challenges and opportunities’. Our two trainers who led the session with lectures, discussions and an interactive game, were:

Dr Birgit Schmidt, Head of Knowledge Commons, Göttingen State and University Library

Dr Heather Andrews, Data Steward, Faculty of Aerospace Engineering,TU Delft …”

Research Data Management and FAIR data: importance, challenges and opportunities. | Zenodo

“On Thursday, 28 May, the INOS project: Integrating Open and Citizen Science into active learning approaches in Higher Education organised a virtual Learning and Train-the-Trainer Activity (LTTA) targeting the project partner team. The main goal of the activity was to enhance the project partners’ skills in order for them to be able to deliver other Open Knowledge and Open Innovation Activities later in the project. LIBER, taking the lead on the training, organized a virtual training session on  Research Data Management entitled ‘Research Data Management (RDM) and FAIR data: importance, challenges and opportunities’. Our two trainers who led the session with lectures, discussions and an interactive game, were:

Dr Birgit Schmidt, Head of Knowledge Commons, Göttingen State and University Library

Dr Heather Andrews, Data Steward, Faculty of Aerospace Engineering,TU Delft …”

Data Manager, Harvard University | HERC Jobs

This is a one-year term position from date of hire, with possibility of extension based on department needs and available funding.

In this role you will support a number of grant-funded research programs that require the organization and public release of primary data and other research products. These include the NCI Pan-Cancer Atlas, the NCI Omic and Multidimensional Spatial Atlas, the NCI Center for Cancer Systems Pharmacology, the DARPA STOP-PAIN program, and the Termeer Program in Systems Pharmacology. You may also be asked to assist with data coordination and management for the Harvard-MIT Center for Regulatory Science and the Greater Boston Pandemic Fabrication Team which is organizing information to support the regional response to the coronavirus pandemic. You will report to the HiTS Executive Director, and work closely with the Scientific Program Management team. LSP is a startup activity and we are dependent on individual initiatives by lab members. Defining your duties will be a collaborative exercise within the lab in which you will play an important role. However, your initial duties are expected to include the following:

Contributing to manuscripts and scientific reports and deliver periodic group meetings.
Work with the Clinical Research Coordinator to organize anonomized patient data and associate it to samples used in multiple experiments. Data should be associated with primary data files, including image files.
Organize and curate image data across multiple programs in collaboration with a team of staff scientists.
Organize and integrate data fields and metadata for cyclic immunofluorescence experiments across a reagent data system and an experimental tracking system. Propose software updates to improve usability and data integrity.
Work with LSP platforms to establish and implement best practices for organization and annotation of data for both internal use and eventual release on public repositories (e.g. Synapse, GEO, Pride)
Enable data deposition in federal repositories for DARPA STOP-PAIN
Development of standards for data stored in Synapse by data type, including metadata assignment, experimental protocols, notes and versioning thereof.
Organize and disseminate data collected by PAN-FAB to support the regional response to the coronavirus pandemic.
Help develop a standard LSP data management plan appropriate for inclusion in grant proposals and tailor as needed for individual proposals.
Survey published minimal information standards as well as the requirements of funding agencies, journals, and public data repositories to identify suitable metadata standards for the various types of data produced by the LSP.
Keep abreast of new developments in funding agency requirements, tools for data management, and community standards and disseminate information to LSP community as needed.
Represent (the LSP/HiTS) at relevant special events (e.g. Open Access Week) and regular meetings (e.g. the HMS Data Management Working Group) as needed.
Collaborate with the HiTS admin and finance teams to associate scientific descriptors and documentation of scientific expertise to individual lab member profiles in a personnel data system.
Work with authors to organize, annotate, and release data as required for manuscript submission/publication.

Statement by the European Public Health Association (EUPHA) on combatting COVID-19: the importance of sharing knowledge to create a comprehensive and publicly available evidence-base

The COVID-19 outbreak is affecting everyone worldwide, and policymakers, scientists and practitioners are exploring uncharted territory while trying to get to grips with this new virus. Especially in such times of great uncertainty, building on up-to-date and accurate information is crucial. Robust systems of epidemic intelligence that can provide solid national and regional-level epidemiological data to inform modelling of disease transmission at the population level, and ultimately offer effective guidance on public health action, are needed. Sharing data, research outcomes and experiences in order to build a common, growing body of intelligence is key when battling the outbreak and saving lives. Indeed, we see many examples of information being shared, across disciplinary, sectoral and geographical borders, contributing to new insights and accelerated generation of knowledge. EUPHA, as a science-based organisation, commends this open attitude, and calls upon all relevant authorities, organisations and experts to share evidence to the maximum extent possible.

Research Data Management Services and Strategic Planning in Libraries Today: A Longitudinal Study

Abstract:  INTRODUCTION Research data services have been adopted by many academic libraries. This study tracked the changes in research data management services and staffing among Association of American Universities (AAU) libraries over the past 5 years and compared them to the libraries’ goals for research data management (RDM) in their strategic plan. METHODS This quantitative study examined libraries at the 60 U.S. AAU institutions. In order to examine longitudinal changes, portions of Briney et.al. (2015a) were used as a basis for measuring data librarian staffing and services. These trends were compared to the contemporary strategic priorities of libraries interviewed by Meier (2016), as well as against strategic plans of 2014 and 2019 available online. RESULTS & DISCUSSION While there have been modest increases in libraries in the sample population offering data services, most of those gains have been among the libraries that did not consider RDM a priority in 2014. Interestingly, some of the libraries that mentioned RDM as a priority in 2014 have lost data librarian positions. Over half of the libraries in this study now provide or support a data repository. Many library strategic plans that mentioned RDM as an explicit goal 5 years ago now no longer mention it. CONCLUSION Data librarian positions, data services, and data repositories have now become common features of large research university libraries. However, research data services are no longer as prominent in many library strategic plans at institutions where such services are more established, and libraries instead seem to be moving on to the work of rethinking the nature of the services or expanding them.