A Model for Integrating the Publication and Preservation of Journal Articles

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014General Track Papers and PanelsThe session was recorded and is available for watching (this presentation starts at 0:49:17)There are policy, technical, and workflow gaps in library efforts to preserve online journal literature. Since libraries are increasingly involved in journal publishing, HathiTrust, a shared preservation-quality digital repository, is a natural place to archive and provide access to journal literature to ensure its long-term preservation and discoverability. The University of Michigan Library is funding the creation of mPach, an open-source, end-to-end publishing system in which archiving in HathiTrust happens as a byproduct of publication rather than being carried out after the fact. The architecture of mPach, its envisioned workflow, and plans for creating a shared infrastructure for publishing open-access journals are all summarized.Hawkins, Kevin Scott (University of North Texas, USA

Chemical information matters: an e-Research perspective on information and data sharing in the chemical sciences

Recently, a number of organisations have called for open access to scientific information and especially to the data obtained from publicly funded research, among which the Royal Society report and the European Commission press release are particularly notable. It has long been accepted that building research on the foundations laid by other scientists is both effective and efficient. Regrettably, some disciplines, chemistry being one, have been slow to recognise the value of sharing and have thus been reluctant to curate their data and information in preparation for exchanging it. The very significant increases in both the volume and the complexity of the datasets produced has encouraged the expansion of e-Research, and stimulated the development of methodologies for managing, organising, and analysing "big data". We review the evolution of cheminformatics, the amalgam of chemistry, computer science, and information technology, and assess the wider e-Science and e-Research perspective. Chemical information does matter, as do matters of communicating data and collaborating with data. For chemistry, unique identifiers, structure representations, and property descriptors are essential to the activities of sharing and exchange. Open science entails the sharing of more than mere facts: for example, the publication of negative outcomes can facilitate better understanding of which synthetic routes to choose, an aspiration of the Dial-a-Molecule Grand Challenge. The protagonists of open notebook science go even further and exchange their thoughts and plans. We consider the concepts of preservation, curation, provenance, discovery, and access in the context of the research lifecycle, and then focus on the role of metadata, particularly the ontologies on which the emerging chemical Semantic Web will depend. Among our conclusions, we present our choice of the "grand challenges" for the preservation and sharing of chemical information

The evolving scholarly record

This report presents a framework to help organize and drive discussions about the evolving scholarly record. The framework provides a high-level view of the categories of material the scholarly record potentially encompasses, as well as the key stakeholder roles associated with the creation, management, and use of the scholarly record. Key highlights: A confluence of trends is accelerating changes to the scholarly record\u27s content and stakeholder roles. Scholarly outcomes are contextualized by materials generated in the process and aftermath of scholarly inquiry. The research process generates materials covering methods employed, evidence used, and formative discussion. The research aftermath generates materials covering discussion, revision, and reuse of scholarly outcomes. The scholarly record is evolving to have greater emphasis on collecting and curating context of scholarly inquiry. The scholarly record’s stakeholder ecosystem encompasses four key roles: create, fix, collect, and use. The stakeholder ecosystem supports thinking about how roles are reconfigured as the scholarly record evolves. The ways and means of scholarly inquiry are experiencing fundamental change, with consequences for scholarly communication and ultimately, the scholarly record. The boundaries of the scholarly record are both expanding and blurring, driven by changes in research practices, as well as changing perceptions of the long-term value of certain forms of scholarly materials. Understanding the nature, scope, and evolutionary trends of the scholarly record is an important concern in many quarters—for libraries, for publishers, for funders, and of course for scholars themselves. Many issues are intrinsic to the scholarly record, such as preservation, citation, replicability, provenance, and data curation. The conceptualization of the scholarly record and its stakeholder ecosystem provided in the report can serve as a common point of reference in discussions within and across domains, and help cultivate the shared understanding and collaborative relationships needed to identify, collect, and make accessible the wide range of materials the scholarly record is evolving to include

Planets: Integrated Services for Digital Preservation

The Planets Project is developing services and technology to address core challenges in digital preservation. This article introduces the motivation for this work, describes the extensible technical architecture and places the Planets approach into the context of the Open Archival Information System (OAIS) Reference Model. It also provides a scenario demonstrating Planets’ usefulness in solving real-life digital preservation problems and an overview of the project’s progress to date

Analysis and Synthesis of Metadata Goals for Scientific Data

The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg’s (2005) metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (\u3e0.6), a Fisher’s exact test for nonparametric data was used to determine significance (p \u3c .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have “scheme harmonization” (compatibility and interoperability with related schemes) as an objective; schemes with the objective “abstraction” (a conceptual model exists separate from the technical implementation) also have the objective “sufficiency” (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective “data publication” do not have the objective “element refinement.” The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes

Extracting, Transforming and Archiving Scientific Data

It is becoming common to archive research datasets that are not only large but also numerous. In addition, their corresponding metadata and the software required to analyse or display them need to be archived. Yet the manual curation of research data can be difficult and expensive, particularly in very large digital repositories, hence the importance of models and tools for automating digital curation tasks. The automation of these tasks faces three major challenges: (1) research data and data sources are highly heterogeneous, (2) future research needs are difficult to anticipate, (3) data is hard to index. To address these problems, we propose the Extract, Transform and Archive (ETA) model for managing and mechanizing the curation of research data. Specifically, we propose a scalable strategy for addressing the research-data problem, ranging from the extraction of legacy data to its long-term storage. We review some existing solutions and propose novel avenues of research.Comment: 8 pages, Fourth Workshop on Very Large Digital Libraries, 201

Scholarly communication: The quest for Pasteur's Quadrant

The scholarly communication system is sustained by its functions of a) registration, b) certification or legitimization, c) dissemination and awareness d) archiving or curation and e) reward. These functions have remained stable during the development of scholarly communication but the means through which they are achieved have not. It has been a long journey from the days when scientists communicated primarily through correspondence. The impact of modern-day technological changes is significant and has destabilized the scholarly communication system to some extent because many more options have become available to communicate scholarly information with. Pasteur's Quadrant was articulated by Donald E Stokes in his book Pasteur's Quadrant Basic Science and Technological Innovation. It is the idea that basic science (as practiced by Niels Bohr) and applied science (as exemplified by Thomas Edison) can be brought together to create a synergy that will produce results of significant benefit, as Louis Pasteur did. Given the theory (fundamental understanding) we have of scholarly communication and given how modern-day technological advances can be applied, a case can be made that use-inspired basic research (Pasteur's Quadrant) should be the focus for current research in scholarly communication. In doing so the different types of digital scholarly resources and their characteristics must be investigated to determine how the fundamentals of scholarly communication are being supported. How libraries could advocate for and contribute to the improvement of scholarly communication is also noted. These resources could include: e-journals, repositories, reviews, annotated content, data, pre -print and working papers servers, blogs, discussion forums, professional and academic hubs

1st INCF Workshop on Sustainability of Neuroscience Databases

The goal of the workshop was to discuss issues related to the sustainability of neuroscience databases, identify problems and propose solutions, and formulate recommendations to the INCF. The report summarizes the discussions of invited participants from the neuroinformatics community as well as from other disciplines where sustainability issues have already been approached. The recommendations for the INCF involve rating, ranking, and supporting database sustainability