Public Access supports our Open Government goals by making the results of federally funded research, including peer-reviewed scientific publications and digital data, readily available to the public.

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.

From Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World.

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Kavita Patel and co-authors analyze Medicare data to help determine how open data can inform the development of smart health policy.

Jon Tennant is a PhD student based at Imperial College London, investigating extinction and biodiversity patterns of Mesozoic tetrapods – anything with four legs or flippers. Prior to this, there was a brief interlude where Jon was immersed in the world of science policy and communication, which has greatly shaped his view on the broader […]

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This article considers digital curation in doctoral study and the role of the doctoral supervisor and institution in facilitating students’ acquisition of digital curation skills, including some of the potentially problematic expectations of the supervisory relationship with regards to digital curation. Research took the form of an analysis of the current digital curation training landscape, focussing on doctoral study and supervision. This was followed by a survey (n=116) investigating attitudes towards importance, expertise, and responsibilities regarding digital curation. This research confirms that digital curation is considered to be very important within doctoral study but that doctoral supervisors and particularly students consider themselves to be largely unskilled at curation tasks. It provides a detailed picture of curation activity within doctoral study and identifies the areas of most concern. A detailed analysis demonstrates that most of the responsibility for curation is thought to lie with students and that institutions are perceived to have very low responsibility and that individuals tend to over-assign responsibility to themselves. Finally, the research identifies which types of support system for curation are most used and makes suggestions for ways in which students, supervisors, institutions, and others can effectively and efficiently address problematic areas and improve digital curation within doctoral study.

The Data Curation Profiles Toolkit (DCPT) emerged out of a Purdue University Libraries’ 2004 initiative to engage in multidisciplinary research. It is a tool developed to assist librarians and other information professionals to conduct data interviews and identify the needs of researchers when managing, sharing, or curating their data. The DCPT has been widely adopted and applied in various contexts but its usability as a tool has not been formally assessed. To address this need, we have conducted a survey of users of the DCPT. The survey included quantitative measures of potential influencing factors of using the DCPT and its perceived usability (its usefulness as a tool and its ease of use). Open-ended questions about users’ experiences with the DCPT were also included to better understand the strengths and weaknesses of the tool, as well as areas that could be improved. Factor analysis of the quantitative results and subsequent regression models revealed several underlying factors that affect the perceived usability of the DCPT. Responses to the open-ended questions revealed several themes of users’ concerns: the amount of time required to use the DCPT, the structure and format of the DCPT, alignment of the DCPT with particular contexts, and the use of the DCPT to engage faculty and the library community. By correlating themes identified from the open-ended questions with the analysis of quantitative data, this paper provides the first empirical assessment of the DCPT that could help further improve the toolkit’s usability based on user needs and expectations. The methodology used in the study could readily be applied to assess and improve the utility of other tools used by data and information professional.

Computer scientists study Twitter to try to understand how people change their use of social media as they make major life changes, like getting engaged or divorced.

I've often found myself exploring a library's map room or thumbing through old Census records while taking study breaks. I was often surprised how I could become engrossed with old data. Some of th...

Materials Letters has withdrawn an article in press after the editor found out the first author, Yan Li, had taken all the data without permission. According to the notice, the senior author told t…

Vines et al. ask authors for the data underlying papers between 2 and 22 years old and find that the odds of it being reported extant decrease by 17% for every year since publication.

On Friday the 13th, I gave the morning keynote at the Online Northwest Conference  in Corvallis, OR. Thanks so much to the organization for ...

Last para is 100% bogus, but the rest is decent.