"Figshare, an online digital repository for academic research, has announced a partnership with the American Speech-Language-Hearing Association (ASHA) to showcase supplementary research outputs within the communication sciences and disorders discipline."
https://www.researchinformation.info/news/figshare-partners-asha
Links, stories, images and articles about data-intensive research from Australia and beyond. An unofficial blog created by the Australian Research data Commons (Formerly: Australian National Data Service (ANDS), Nectar & RDS)) for the purpose of recording and sharing external content. ARDC does not endorse the content posted.
Thursday, 29 June 2017
Friday, 23 June 2017
Data Management in the Long Tail: Science, Software, and Service
Data Management in the Long Tail: Science, Software, and Service
Christine L. Borgman, Milena S. Golshan, Ashley E. Sands, Jillian C. Wallis, Rebekah L. Cummings, Peter T. Darch, Bernadette M. Randles
Abstract
Scientists in all fields face challenges in managing and sustaining access to their research data. The larger and longer term the research project, the more likely that scientists are to have resources and dedicated staff to manage their technology and data, leaving those scientists whose work is based on smaller and shorter term projects at a disadvantage. The volume and variety of data to be managed varies by many factors, only two of which are the number of collaborators and length of the project. As part of an NSF project to conceptualize the Institute for Empowering Long Tail Research, we explored opportunities offered by Software as a Service (SaaS). These cloud-based services are popular in business because they reduce costs and labor for technology management, and are gaining ground in scientific environments for similar reasons. We studied three settings where scientists conduct research in small and medium-sized laboratories. Two were NSF Science and Technology Centers (CENS and C-DEBI) and the third was a workshop of natural reserve scientists and managers. These laboratories have highly diverse data and practices, make minimal use of standards for data or metadata, and lack resources for data management or sustaining access to their data, despite recognizing the need. We found that SaaS could address technical needs for basic document creation, analysis, and storage, but did not support the diverse and rapidly changing needs for sophisticated domain-specific tools and services. These are much more challenging knowledge infrastructure requirements that require long-term investments by multiple stakeholders.
Labels:
data management,
infrastructure,
requirements,
science,
service,
software
Developments in research data management in academic libraries
Developments in research data management in academic libraries: Towards an understanding of research data service maturity
Cox, Pinfield, Lyon & Kennan (2017)
http://onlinelibrary.wiley.Monday, 5 June 2017
New SPARC Europe Report provides analysis of Open Data and Open Science Policies in Europe
http://sparceurope.org/new-sparc-europe-report-analyses-open-data-open-science-policies-europe/
"Providing an analysis of Open Data and Open Science policies across Europe, today we are releasing a new report. Produced in collaboration with the Digital Curation Center (DCC), it follows on the heels of a previous work that listed national research data policies.
"Providing an analysis of Open Data and Open Science policies across Europe, today we are releasing a new report. Produced in collaboration with the Digital Curation Center (DCC), it follows on the heels of a previous work that listed national research data policies.
This latest companion piece takes that work several steps further, analysing the types of policies in place, their processes of creation, and some of their details. Included in the study are the 28 EU member states, as well as countries from the European Research Area, including Iceland, Norway, and Switzerland.
“The last study attempting this kind of analysis was released in 2013, and much has changed since then,” said Martin Donnelly from DCC. “The level of insight it provides will be invaluable as countries throughout Europe continue to develop and evolve their Open Data and Open Science policies.”
Among the report’s most striking findings: 11 of the 28 European Union member states, as well as Norway and Switzerland, have national, research data-related policies in place. Of these, all were implemented in the past eight years, with most having taken effect recently. In about half of the countries, research data is covered under the same policy that applies to Open Access or Open Science.
For more details, download a free copy of the report."
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