Service suggesting publication outlets for data and null results. "File drawer data liberation effort."

It is increasingly common for researchers to publish their datasets in open, mediated, or restricted form as a research output. The process of publishing data is complex and there are few guides that are practical or easy to understand. To bridge this gap, the Digital Curation and Data team at the University of Sydney Library initiated a project to develop applied data publication resources. To reflect current University and Library strategies, the team expanded the project to include a cultural competence review of each newly developed resource in order to reflect on the cultural biases that had gone into its creation and the ways in which the resource might appear through alternative cultural lenses, initially focusing on the data publication needs for research relating to Aboriginal and Torres Strait Islander peoples. It may be especially challenging for researchers who are working with culturally sensitive data to find resources that are easy to use and relevant. One initial goal of this project is to ensure that researchers, students and staff can support the ethical and culturally appropriate publication of data relating to Aboriginal and Torres Strait Islander peoples, communities, and knowledges. The team reviewed prototyped resources with researchers who conduct research with Aboriginal and Torres Strait Islander peoples to assess their usefulness and identify gaps. Resources are now being updated to reflect feedback, and additional resources will also be created. The intention is to continue to integrate cultural competence into the University of Sydney’s data curation and publication services and to expand this process to include wider cultural perspectives.  

Nice piece on journal-publishing software and workflows. Includes data publishing.

policy data     ,Publisher,Data Sharing Policy?,Link to policy (if it exists),Rating (Poor / Fair / Good / Excellent),Notes,What data,Where to put it / How to prepare,How to cite,Time AAPS JOURNAL,SPRINGER ACADEMIC EMERGENCY MEDICINE,WILEY-BLACKWELL ACADEMIC MEDICINE,LIPPINCOTT WILLIAMS & WILKINS...

Data “publication” seeks to appropriate the prestige of authorship in the peer-reviewed literature to reward researchers who create useful and well-documented datasets. The scholarly communication community has embraced data publication as an incentive to document and share data. But, numerous new and ongoing experiments in implementation have not yet resolved what a data publication should be, when data should be peer-reviewed, or how data peer review should work. While researchers have been surveyed extensively regarding data management and sharing, their perceptions and expectations of data publication are largely unknown. To bring this important yet neglected perspective into the conversation, we surveyed ∼ 250 researchers across the sciences and social sciences– asking what expectations“data publication” raises and what features would be useful to evaluate the trustworthiness, evaluate the impact, and enhance the prestige of a data publication. We found that researcher expectations of data publication center on availability, generally through an open database or repository. Few respondents expected published data to be peer-reviewed, but peer-reviewed data enjoyed much greater trust and prestige. The importance of adequate metadata was acknowledged, in that almost all respondents expected data peer review to include evaluation of the data’s documentation. Formal citation in the reference list was affirmed by most respondents as the proper way to credit dataset creators. Citation count was viewed as the most useful measure of impact, but download count was seen as nearly as valuable. These results offer practical guidance for data publishers seeking to meet researcher expectations and enhance the value of published data.

This community perspective piece calls on publishers to promote and contribute to increasing access to data in their role with eight simple recommendations and example action items.

Read the latest article version by John Kratz, Carly Strasser, at F1000Research.

Scientists can be reluctant to share data because of the need to publish journal articles and receive recognition. But what if the data sets were actually a better way of getting credit for your wo…

AbstractPeer review holds a central place within the scientific communication system. Traditionally, research quality has been assessed by peer review of journal articles, conference proceedings, and books. There is strong support for the peer review process within the academic community, with scholars contributing peer reviews with little formal reward. Reviewing is seen as a contribution to the community as well as an opportunity to polish and refine understanding of the cutting edge of research. This paper discusses the applicability of the peer review process for assessing and ensuring the quality of datasets. Establishing the quality of datasets is a multifaceted task that encompasses many automated and manual processes. Adding research data into the publication and peer review queues will increase the stress on the scientific publishing system, but if done with forethought will also increase the trustworthiness and value of individual datasets, strengthen the findings based on cited datasets, and increase the transparency and traceability of data and publications.This paper discusses issues related to data peer review—in particular, the peer review processes, needs, and challenges related to the following scenarios: 1) data analyzed in traditional scientific articles, 2) data articles published in traditional scientific journals, 3) data submitted to open access data repositories, and 4) datasets published via articles in data journals.

Read the latest article version by John Kratz, Carly Strasser, at F1000Research.

Well colour me naive. When PLoS announced their new data archiving policy  a few days ago, I hardly felt like it was a "big deal". Providing...