Citing/Referencing

As rightly pointed out earlier, research ethics advises authors to avoid plagiarism. Citing the used references in scientific works is the best way of preventing plagiarism. There are some guidelines on the internet that helps authors to observe ethical writing tips. We cite others' works in many different ways. Firstly, we should know that what is the difference between a reference and citation and why we cite

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

Citing/Referencing

As rightly pointed out earlier, research ethics advises authors to avoid plagiarism. Citing the used references in scientific works is the best way of preventing plagiarism. There are some guidelines on the internet that helps authors to observe ethical writing tips. We cite others' works in many different ways. Firstly, we should know that what is the difference between a reference and citation and why we cite

Economic Fundamentals Of the Knowledge Society

This article provides an introduction to fundamental issues in the development of new knowledge-based economies. After placing their emergence in historical perspective and proposing a theoretical framework that distinguishes knowledge from information, the authors characterize the specific nature of such economies. They go on to deal with some of the major issues concerning the new skills and abilities required for integration into the knowledge-based economy; the new geography that is taking shape (where physical distance ceases to be such an influential constraint); the conditions governing access to both information and knowledge, not least for developing countries; the uneven development of scientific, technological (including organizational) knowledge across different sectors of activity; problems concerning intellectual property rights and the privatization of knowledge; and the issues of trust, memory and the fragmentation of knowledge. This monograph is concerned with the nature of the process of macroeconomic growth that has characterized the U. S. experience, and manifested itself in the changing pace and sources of the continuing rise real output per capita over the course of the past two hundred years. A key observation that emerges from the long-term quantitative economic record is that the proximate sources of increases in real GDP per head in the century between 1889 and 1999 were quite different from those which obtained during the first hundred years of American national experience. Baldly put, the economy's ascent to a position of twentieth century global industrial leadership entailed a transition from growth based upon the interdependent development and extensive exploitation of its natural resources and the substitution of tangible capital for labor, towards a the maintenance of an productivity leadership through rising rates of intangible investment in the formation and exploitation of technological and organizational knowledge.

Supporting e-Science : Scientific Research Data Curation

One of the outcomes of the continuous development of science is creation of new methods of scientific research which, as a result, generate different types of research output including research data. While a significant attention is given to preservation of journal articles, books, and papers published in conference proceeding, less attention is given to the preservation of research data. To enable use of data accumulated in previous scientific research projects in a new scientific research, research data should be preserved. The activity of research data preservation is called data curation. Data curation has become necessary if science wants to avoid data loss. Unfortunately, science itself cannot take care of research data easily; it needs help from professionals like librarians and archivists to preserve research data in order to enable their re-use future scientific research. Although there are already some good solutions to this problem such as storing research data in digital repositories, no final decision has been made about who will take the responsibility for this kind of activity in the long run

Standing together for reproducibility in large-scale computing: report on reproducibility@XSEDE

This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Environment (XSEDE). The workshop's discussion-oriented agenda focused on reproducibility in large-scale computational research. Two important themes capture the spirit of the workshop submissions and discussions: (1) organizational stakeholders, especially supercomputer centers, are in a unique position to promote, enable, and support reproducible research; and (2) individual researchers should conduct each experiment as though someone will replicate that experiment. Participants documented numerous issues, questions, technologies, practices, and potentially promising initiatives emerging from the discussion, but also highlighted four areas of particular interest to XSEDE: (1) documentation and training that promotes reproducible research; (2) system-level tools that provide build- and run-time information at the level of the individual job; (3) the need to model best practices in research collaborations involving XSEDE staff; and (4) continued work on gateways and related technologies. In addition, an intriguing question emerged from the day's interactions: would there be value in establishing an annual award for excellence in reproducible research? Overvie