Presentations from the Main Drivers on Successful Re-Use of Primary Research Data Workshop are now available.

Here's an excerpt from the press release:

On 23-24 September 2009 an international discussion workshop was held in Berlin, prepared and organised by Knowledge Exchange. The main focus of the workshop was on the benefits, challenges and obstacles of re-using data from a researcher's perspective. The most important message from the wide variety of presentations was that successful reuse not only requires efforts directed at the technical issues, but also at providing incentives for researchers, both to share and re-use. . . .

At the workshop the use cases presented by researchers from a variety of disciplines were supplemented by two keynotes and selected presentations by specialists from infrastructure institutions, publishers, and national and European funding bodies. Thanks to this broad approach it became clear that certain challenges and obstacles are comparable across disciplines and organisations. As a general recommendation the participants agreed that it is time to cooperate in more ambitious international activities to establish reliable and sustainable support for initiatives in the field of data related research infrastructure—as Prof. John Wood (Imperial College London) put it in his keynote: "You can no longer separate the data management issue from the planning and running of research infrastructures."

Gideon Emcee Christian has self-archived "Building a Sustainable Framework for Open Access to Research Data through Information and Communication Technologies" in SSRN.

Here's an excerpt:

The growth in information and communication technology (ICT) has brought about increased pace in information and knowledge exchange. This increased pace is being fueled in large part by the open exchange of information. The pressure for open access to research data is gaining momentum in virtually every field of human endeavour. Data is the life blood of science and quite unsurprisingly data repositories are rapidly becoming an essential component of the infrastructure of the global science system. Improved access to data will transform the way research is conducted. It will create new opportunities and avenues for improved efficiency in dealing with social, economic and scientific challenges facing humanity.

Despite the admitted benefits of open access to research data, the concept is still weighed down by series of factors both legal and ethical which must be resolved in other to derive the maximum benefits arising from open access to data. The resolution of these issues will require the development of a sustainable framework to facilitate access to and use of research data by researchers, academics institutions, private individuals and other users. This research paper examines the legal and ethical issues affecting open access to research data. The research also examined various frameworks for enhancing open access to research data. Such frameworks include the open data contract, open content licenses as well as open data commons.

The Digital Curation Centre has released Data Dimensions: Disciplinary Differences in Research Data Sharing, Reuse and Long Term Viability: A Comparative Review Based on Sixteen Case Studies.

Here's an excerpt:

This synthesis study, commissioned by the Digital Curation Centre from Key Perspectives Ltd, forms a major output from the DCC SCARP Project, which investigated attitudes and approaches to data deposit, sharing and reuse, curation and preservation, over a range of research fields in differing disciplines. The aim was to investigate research practitioners’ perspectives and practices in caring for their research data, and the methods and tools they use to that end. Objectives included identification and promotion of ‘good practice’ in the selected research domains, as expressed in DCC tools and resources. The approach combined case study methods with a survey of the literature relevant to digital curation in the selected fields. . . .

This synthesis report (which drew on the SCARP case studies plus a number of others, identified in the Appendix), identifies factors that help understand how curation practices in research groups differ in disciplinary terms. This provides a backdrop to different digital curation approaches. However the case studies illustrate that "the discipline" is too broad a level to understand data curation practices or requirements. The diversity of data types, working methods, curation practices and content skills found even within specialised domains means that requirements should be defined at this or even a finer-grained level, such as the research group.

The Canadian Association of Research Libraries has released Research Data: Unseen Opportunities.

Here's an excerpt from the press release:

The purpose of the toolkit is to enable research library directors to raise awareness of the issues of data management with administrators and researchers on campus.

Data are valuable assets that in some cases have an unlimited potential for reuse. The awareness toolkit underscores the need to ensure that research data are managed throughout the data lifecycle so that they are understandable and usable.

"This is a very timely document" says Marnie Swanson (University of Victoria), Chair of the CARL Data Management Sub-Committee. "More than ever, data are a critical component of the research endeavor and this toolkit will help libraries raise awareness in the scholarly community of the importance of data stewardship."

Research Data: Unseen Opportunities provides readers with a general understanding of the current state of research data in Canada and internationally. It is organized into seven sections: The Big Picture; Major Benefits of Data Management; Current Context; Case Studies; Gaps in Data Stewardship in Canada; Data Management Policies in Canada; Responses to Faculty/Administrative Concerns; What Can Be Done on Campus?

The ICHFA DPHEP International Study Group has self-archived Data Preservation in High Energy Physics in arXiv.org.

Here's an excerpt:

Data from high-energy physics (HEP) experiments are collected with significant financial and human effort and are mostly unique. At the same time, HEP has no coherent strategy for data preservation and re-use. An inter-experimental Study Group on HEP data preservation and long-term analysis was convened at the end of 2008 and held two workshops, at DESY (January 2009) and SLAC (May 2009). This document is an intermediate report to the International Committee for Future Accelerators (ICFA) of the reflections of this Study Group.

The National Science Foundation has awarded a $20 million grant to the DataONE (Observation Network for Earth) Project, which reports to both the Office of the Vice President of Research and the University Libraries at the University of New Mexico. William Michener, professor and director of e-science initiatives at University Libraries, is directing the project.

Here's an excerpt from the press release:

Researchers at UNM have partnered with dozens of other universities and agencies to create DataONE, a global data access and preservation network for earth and environmental scientists that will support breakthroughs in environmental research.

DataONE is designed to provide universal access to data about life on Earth and the environment that sustains it. The underlying technologies will provide open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.

Expected users include scientists, educators, librarians, resource managers, and the public. By providing easy and open access to a broad range of science data, as well as tools for managing, analyzing, and visualizing data, DataONE will be transformative in the speed with which researchers will be able to assemble and analyze data sets and in the types of problems they will be able to address. . . .

DataONE is one of two $20 million awards made this year as part of the National Science Foundation's (NSF) DataNet program. The collaboration of universities and government agencies coalesced to address the mounting need for organizing and serving up vast amounts of highly diverse and inter-related but often-incompatible scientific data. Resulting studies will range from research that illuminates fundamental environmental processes to identifying environmental problems and potential solutions. . . .

The DataONE team will study how a vast digital data network can provide secure and permanent access into the future, and also encourage scientists to share their information. The team will help determine data citation standards, as well as create the tools for organizing, managing, and publishing data.

The resulting computing and processing "cyberinfrastructure" will be made permanently available for use by the broader national and international science communities. DataONE is led by the University of New Mexico, and includes additional partner organizations across the United States as well as from Europe, Africa, South America, Asia, and Australia.

This grant is important nationally, and locally especially for our research community. University Libraries Dean Martha Bedard said, "The University Libraries are key partners in UNM research initiatives, and are excited and committed to supporting the emerging area of data curation, which this grant seeks to support in sophisticated ways."

DataONE will build a set of geographically distributed Coordinating Nodes that play an important role in facilitating all of the activities of the global network, as well as a network of Member Nodes that host relevant data and tools. The initial three Coordinating Nodes will be at the University of New Mexico, UC Santa Barbara (housed at the Davidson Library), and at the University of Tennessee/Oak Ridge National Laboratory. Member Nodes will be located in association with universities, libraries, research networks, and agencies worldwide.

The Association of Research Libraries has released preliminary results and resources from an e-science survey of its members.

Here's an excerpt from the press release:

The Association of Research Libraries (ARL) E-Science Working Group surveyed ARL member libraries in the fall of 2009 to gather data on the state of engagement with e-science issues. An overview of initial survey findings was presented by E-Science Working Group Chair Wendy Lougee, University Librarian, McKnight Presidential Professor, University of Minnesota Libraries, at the October ARL Membership Meeting. Lougee's briefing explored contrasting approaches among research institutions, particularly in regard to data management. The briefing also summarized survey findings on topics such as library services, organizational structures, staffing patterns and staff development, and involvement in research grants, along with perspectives on pressure points for service development. To better explicate the findings, Lougee reviewed specific cases of activities at six research institutions. . . .

A full report of the survey findings is being prepared and will be published in 2010 by ARL through its Occasional Papers series.

JISC has released Open Science at Web-Scale: Optimising Participation and Predictive Potential.

Here's an excerpt:

This Report has attempted to draw together and synthesise evidence and opinion from a wide range of sources. Examples of data intensive science at extremes of scale and complexity which enable forecasting and predictive assertions, have been described together with compelling exemplars where an open and participative culture is transforming science practice. It is perhaps worth noting that the pace of change in this area is such, that it has been a challenging piece to compose and at best, it can only serve as a subjective snapshot of a very dynamic data space. . . .

The perspective of openness as a continuum is helpful in positioning the range of behaviours and practices observed in different disciplines and contexts. By separating the twin aspects of openness (access and participation), we can begin to understand the full scope and potential of the open science vision. Whilst a listing of the perceived values and benefits of open science is given, further work is required to provide substantive and tangible evidence to justify and support these assertions. Available evidence suggests that transparent data sharing and data re-use are far from commonplace. The peer production approaches to data curation which have been described, are really in their infancy but offer considerable promise as scaleable models which could be migrated to other disciplines. The more radical open notebook science methodologies are currently on the "fringe" and it is not clear whether uptake and adoption will grow in other disciplines and contexts.

Duke University, North Carolina State University, and the University of North Carolina at Chapel Hill have launched a two-year project to share digital data.

Here's an excerpt from the press release:

An initiative that will determine how Triangle area universities access, manage, and share ever-growing stores of digital data launched this fall with funding from the Triangle Universities Center for Advanced Studies, Inc. (TUCASI).

The two-year TUCASI data-Infrastructure Project (TIP) will deploy a federated data cyberinfrastructure—or data cloud—that will manage and store digital data for Duke University, NC State University, UNC Chapel Hill, and the Renaissance Computing Institute (RENCI) and allow the campuses to more seamlessly share data with each other, with national research projects, and private sector partners in Research Triangle Park and beyond.

RENCI and the Data Intensive Cyber Environments (DICE) Center at UNC Chapel Hill manage the $2.7 million TIP. The provosts, heads of libraries and chief information officers at the three campuses signed off on the project just before the start of the fall semester.

"The TIP focuses on federation, sharing and reuse of information across departments and campuses without having to worry about where the data is physically stored or what kind of computer hardware or software is used to access it," said Richard Marciano, TIP project director, and also professor at UNC's School of Information and Library Science (SILS), executive director of the DICE Center, and a chief scientist at RENCI. "Creating infrastructure to support future Triangle collaboratives will be very powerful."

The TIP includes three components—classroom capture, storage, and future data and policy, which will be implemented in three phases. In phase one, each campus and RENCI will upgrade their storage capabilities and a platform-independent system for capturing and sharing classroom lectures and activities will be developed. . . .

In phase two, the TIP team will develop policies and practices for short- and long-term data storage and access. Once developed, the policies and practices will guide the research team as it creates a flexible, sustainable digital archive, which will connect to national repositories and national data research efforts. Phase three will establish policies for adding new collections to the TIP data cloud and for securely sharing research data, a process that often requires various restrictions. "Implementation of a robust technical and policy infrastructure for data archiving and sharing will be key to maintaining the Triangle universities' position as leaders in data-intensive, collaborative research," said Kristin Antelman, lead researcher for the future data and policy working group and associate director for the Digital Library at NC State.

The tasks of the TIP research team will include designing a model for capturing, storing and accessing course content, determining best practices for search and retrieval, and developing mechanisms for sharing archived content among the TIP partners, across the Triangle area and with national research initiatives. Campus approved social media tools, such as YouTube and iTunesU, will be integrated into the system.

Microsoft Research has released The Fourth Paradigm: Data-Intensive Scientific Discovery.

Of particular interest is the "Scholarly Communication" chapter.

Here are some selections from that chapter:

• "Jim Gray’s Fourth Paradigm and the Construction of the Scientific Record," Clifford Lynch
• "Text in a Data-Centric World," Paul Ginsparg
• "All Aboard: Toward a Machine-Friendly Scholarly Communication System," Herbert Van de Sompel and Carl Lagoze
• "I Have Seen the Paradigm Shift, and It Is Us," John Wilbanks