Digital Repositories as a Way to Manage Data and Reputation Beyond Publications

Institutional Repositories (IRs) can be (and are) implemented at Universities and Colleges to capture organization output and non-traditional research objects and artifacts. Repositories can help improve workflow and reporting mechanisms: e.g., it’s a known place to deposit data or papers, and repository managers (typically in the Library) get usage statistics, and we can tell some interesting stories about use. IRs can: help improve the attention and impact of university-affiliated published research showcase work (e.g, top 10 downloads; spotlight paper; recent additions; and more) help with management of work created on a campus – i.e., ensure research generated on campus is managed by the campus ensure information is preserved and made available for long term access. Putting data or images in a repository can also help authors keep control of their work – many repositories offer extremely permissive licenses that allow authors to maintain ownership of their work. e.g., you are not handing over copyright of these materials to publishers (and thus – very often -- giving them exclusive control of that content)

Scorpion Biodiversity and Interslope Divergence at “Evolution Canyon”, Lower Nahal Oren Microsite, Mt. Carmel, Israel

BACKGROUND: Local natural laboratories, designated by us as the "Evolution Canyon" model, are excellent tools to study regional and global ecological dynamics across life. They present abiotic and biotic contrasts locally, permitting the pursuit of observations and experiments across diverse taxa sharing sharp microecological subdivisions. Higher solar radiation received by the "African savannah-like" south-facing slopes (AS) in canyons north of the equator than by the opposite "European maquis-like" north-facing slopes (ES) is associated with higher abiotic stress. Scorpions are a suitable taxon to study interslope biodiversity differences, associated with the differences in abiotic factors (climate, drought), due to their ability to adapt to dry environments. METHODOLOGY/PRINCIPAL FINDINGS: Scorpions were studied by the turning stone method and by UV light methods. The pattern observed in scorpions was contrasted with similar patterns in several other taxa at the same place. As expected, the AS proved to be significantly more speciose regarding scorpions, paralleling the interslope patterns in taxa such as lizards and snakes, butterflies (Rhopalocera), beetles (families Tenebrionidae, Dermestidae, Chrysomelidae), and grasshoppers (Orthoptera). CONCLUSIONS/SIGNIFICANCE: Our results support an earlier conclusion stating that the homogenizing effects of migration and stochasticity are not able to eliminate the interslope intra- and interspecific differences in biodiversity despite an interslope distance of only 100 m at the "EC" valley bottom. In our opinion, the interslope microclimate selection, driven mainly by differences in insolance, could be the primary factor responsible for the observed interslope pattern

Figshare: Store, Share, Discover Research

Slides and video from presentation at the Open Science Symposium at Carnegie Mellon University on October 18th, 201

Data Discovery, Data FAIRport, and the Importance of Free, Open APIs in RDM Infrastructure

In early 2013, the National Science Foundation (NSF) announced that it would be changing the terms for assessing grant-supported researchers to assert they would be measuring not only the impact of their publications but also the ‘products’ of the research or research data. This meant that if a researcher had more citations for a dataset, video, or snippet of code than a traditional article, it could be considered more impactful. <br><br>The Data FAIRport initiative, created a year after the NSF declaration, was formed to set up "Guiding Principles" for FAIR data publishing and support the ‘products’ of research, focusing on principles for the Findability, Accessibility, Interoperability and Reusability of research data. The goal of the principles is to enhance reusability of research, with the aim of grouping results and linking data with analytics, which are both human and computer actionable. <br><br>In some ways, the current research infrastructure prevents the academic system from extracting the most out of publicly funded outputs and these principles serve to act as a data stewardship guide to ensure the optimal transparency, replication, and reuse of both government and privately funded research globally. As the world’s largest driver of knowledge, the academic system should provide openly-available data to better answer queries at all stages of the learning and educational process. <br><br>This webinar will outline the FAIR principles themselves and highlight how at figshare, we aim to make the content on our platform available to any human or computer searching for academic data through any system. The hope is this will help collate research and allow easier combining of results from different groups across different projects. With academic trending towards becoming more computational across all disciplines, there is a fantastic opportunity to get more credit for all research outputs, not just the final publication, and allow researchers to build off research that came before the

Making Open Data Discoverable Preso

<p>Presentation for March 18 NISO Webinar: Part 2: The Business Complexities of Granular Discovery</p> <p> </p> <p>Abstract: </p> <p>The business side of discoverability quickly gets complicated when it comes to open data. Platforms that host scientific research outputs must ensure that as data and the foundations of research become more openly available to society, they remain just as discoverable as their published journal counterparts. With this come complexities revolving around file type, proper logging of metadata, versioning, linking to related content, and more. Dan Valen, Product Specialist at figshare, will touch on some of the finer points of granular data discovery while highlighting some of the work figshare is doing to make research data more discoverable and accessible on a global scale.</p> <p> </p

Panel Presentation -- Economics of Reproducibility

This presentation was part of a panel on the economics of reproducibility at the first IEEE workshop on reproducibility. The workshop was titled, "The Future of Research curation and Research Reproducibility" and more info can be found through the link below. <div><br></div><div>The prompt: As the current scholarly publishing business model undergoes pressure from the tilt toward open access, and library budgets are further reduced, how will the added step of reproducibility be funded? This penal will discuss funding scenarios.</div

Optimizing Active Research Data Management Workflows through to Preservation

<div>Presentation for the 2016 PASIG conference. Abstract and relevant links can be found below:</div><div><br></div>Academia has seen a dramatic increase in the number of data generated during the last few years, and a similar jump in the number data repositories created to expose and store that content. With this growing awareness around data creation and reuse, we at figshare needed to provide certain assurances to our userbase and to our partners in the academic community around data availability. As is the key with most infrastructure, the best infrastructure is invisible to the end user, and so we worked with service providers and our institutional partners to ensure that data published on figshare is available for reuse by future generations of researchers. This talk will highlight different ways figshare and the archiving and preservation community are leveraging existing technologies to preserve research outputs on the platform

Slides for: Data FAIRport and Discoverability Webinar

This presentation was given as part of the figshare webinar series on November 15, 2016. Link to the webinar recording can be found below.<div><br></div><div>Abstract: In early 2013, the National Science Foundation (NSF) announced that it would be changing the terms for assessing grant-supported researchers to assert they would be measuring not only the impact of their publications but also the ‘products’ of the research or research data. This meant that if a researcher had more citations for a dataset, video, or snippet of code than a traditional article, it could be considered more impactful. <br><br>The Data FAIRport initiative, created a year after the NSF declaration, was formed to set up "Guiding Principles" for FAIR data publishing and support the ‘products’ of research, focusing on principles for the Findability, Accessibility, Interoperability and Reusability of research data. The goal of the principles is to enhance reusability of research, with the aim of grouping results and linking data with analytics, which are both human and computer actionable. <br><br>In some ways, the current research infrastructure prevents the academic system from extracting the most out of publicly funded outputs and these principles serve to act as a data stewardship guide to ensure the optimal transparency, replication, and reuse of both government and privately funded research globally. As the world’s largest driver of knowledge, the academic system should provide openly-available data to better answer queries at all stages of the learning and educational process. <br><br>This webinar will outline the FAIR principles themselves and highlight how at figshare, we aim to make the content on our platform available to any human or computer searching for academic data through any system. The hope is this will help collate research and allow easier combining of results from different groups across different projects. With academic trending towards becoming more computational across all disciplines, there is a fantastic opportunity to get more credit for all research outputs, not just the final publication, and allow researchers to build off research that came before them</div

NFAIS Program: Creating and Harnessing the New Era of Data Sharing - On The State of Open Date Report

Abstract (link to program below): <div><br></div><div>Earlier this year, figshare worked alongside Springer Nature and Digital Science to survey researchers around their attitudes and experiences in working with open research data. Garnering over 2,000 responses, the survey reveals researchers are shaping the conversation around open research and open data, namely sharing and using open data far more than previously thought. While there are still some questions that need answering, mainly around ethics of data sharing, licensing, and costs to make open access possible, the survey shows the future is promising. This presentation will cover key findings of The State of Open Data Report and identify the different hurdles such as infrastructure, culture change, and incentives for researchers. </div