Tag: data reuse

ScienceOpen indexes >1,000 articles from ARPHA-hosted journals RIO & Check List in a trial

Two scholarly journals published on ARPHA – Research Ideas and Outcomes (RIO Journal) and Check List – now have their articles freely available via the community-focused search and discovery platform ScienceOpen.

This new trial between the two high-tech innovators and Open Science proponents presents an important step forward to making research publications not only easier to find and access, but also more inviting to fellow scientists seeking new collaborations and platforms for voicing their ideas and expertise.

Currently, there are 168 and 948 article records fed to ScienceOpen straight from RIO and Check List respectively.

While the articles’ underlying data, such as author names, citations, keywords, journals and more, are automatically harvested and analyzed by ScienceOpen, so that research items can be easily interlinked, readers are encouraged to further provide context to the research items. The user-friendly intuitive interface invites them to add their comments, recommendations or open post-publication peer reviews, and even create their own topical collections regardless of affiliations and journals.

To make sure users land on the most relevant articles in what feels like the blink of an eye compared to traditional methods, ScienceOpen also accommodates an advanced multi-layer search engine relying on a total of 20 smart filters and six sorting parameters.

“We have long worked closely with ScienceOpen, as it only makes sense given our shared vision for the future of academia, so the present trial project happened very naturally,” says Prof. Lyubomir Penev, founder and CEO of ARPHA and its developer – scholarly publisher and technology provider Pensoft. “Nowadays, we are well aware that scientific findings are of little merit if ‘living’ in a vacuum. Therefore, we need research articles to be as discoverable as possible, and, no less importantly, to be open to feedback and further work.”

“We are thrilled to add this new content to the ScienceOpen as we have both strong researcher communities in zoology and in scholarly communications within our broadly interdisciplinary content. The ARPHA platform is a natural fit to deliver rich metadata to our discovery services and we are very much looking forward to working with their team,” says Stephanie Dawson, CEO of ScienceOpen.

 

About ScienceOpen:

ScienceOpen is an independent start-up company based in Berlin and Boston, which explores new ways to open up information for the scholarly community. It provides a freely accessible search and discovery platform that puts research in context. Smart filters, topical collections and expert input from the academic community help users to find the most relevant articles in their field and beyond.

Data Quality Checklist and Recommendations at Pensoft

As much as research data sharing and re-usability is a staple in the open science practices, their value would be hugely diminished if their quality is compromised.

In a time when machine-readability and the related software are getting more and more crucial in science, while data are piling up by the minute, it is essential that researchers efficiently format and structure as well as deposit their data, so that they can make it accessible and re-usable for their successors.

Errors, as in data that fail to be read by computer programs, can easily creep into any dataset. These errors are as diverse as invalid characters, missing brackets, blank fields and incomplete geolocations.

To summarise the lessons learnt from our extensive experience in biodiversity data audit at Pensoft, we have now included a Data Quality Checklist and Recommendations page in the About section of each of our data-publishing journals.

We are hopeful that these guidelines will help authors prepare and publish datasets of higher quality, so that their work can be fully utilised in subsequent research.

At the end of the day, proofreading your data is no different than running through your text looking for typos.

 

We would like to use the occasion to express our gratitude to Dr. Robert Mesibov, who prepared the checklist and whose expertise in biodiversity data audit has contributed greatly to Pensoft through the years. Continue reading “Data Quality Checklist and Recommendations at Pensoft”