Libraries United in Opening New Scholarly Platforms: Concurrent Panel Session

This is the slide deck used for the concurrent panel session entitled <i>Libraries United in Opening New Scholarly Platforms</i>. This panel presentation was given at the Force 2016 Conference held in Portland, OR on April 18, 2016. The panelists were Chris Keene, Varsha Khodiyar/Susanna Sansone, Maria Bonn, and Daniel Mietchen. At the conference Varsha Khodiyar's presentation was given by Susanna Sansone due to technical difficulties. The panel co-chairs were Steve Van Tuyl and Robert H. McDonald

Guidance for publishing descriptions of non-public clinical datasets

Poster on guidance for publishing descriptions of non-public clinical datasets. Presented at IDCC 2017 in Glasgow.<br

Standardising and harmonising research data policies in scholarly publishing

To promote publication of reproducible research and support compliance with research funder and institution policies, in July 2016 Springer Nature became the first publisher to introduce a standardised, common framework for the research data policies for its scholarly journals. This poster highlights how these policies were created and implemented and provides details about the specifics of the different policies. <br

Find me the data - Discover and explore Springer Nature’s Scientific Data datasets with the ISA-explorer tool

Find me the data - Discover and explore Springer Nature’s Scientific Data datasets with the ISA-explorer tool<br><br><br><div><div>Scientific Data is a Springer Nature journal focused on data publication. The main article type is a Data Descriptor, which depicts rigorously described, reusable datasets. Each Data Descriptor is accompanied by metadata represented in the ISA-Tab format, which is a tabular format following the Investigation/Study/Assay model. The ISA-explorer tool [1] uses the information in the Scientific Data ISA-Tab metadata files to facilitate dataset discovery. The tool allows users to filter datasets by different criteria: for example, a specific design type or data stored at a particular repository.. The filters can be combined in a boolean search allowing users to easily and quickly discover specific types of data. The ISA-explorer also offers a generic search box, allowing for keyword-based searches of the ISA-Tab metadata files. Additionally, the tool allows browsing of dataset specific information such as related publications and a visualisation of the distribution of the characteristics of the samples involved in the study generating the data. We have some improvements already planned; for example, showing overall statistics, supporting richer query searches considering the semantics of the data (e.g. query expansion based on synonyms) and relying on richer knowledge representations (such as linkedISA [2]). [1] <a href="http://blogs.nature.com/scientificdata/2015/12/17/isa-explorer/" target="_blank">http://blogs.nature.com/scientificdata/2015/12/17/isa-explorer/</a> [2] Alejandra González-Beltrán, Eamonn Maguire, Susanna-Assunta Sansone and Philippe Rocca-Serra. linkedISA: semantic representation of ISA-Tab experimental metadata. BMC Bioinformatics 2014, 15(Suppl 14):S4. <a href="http://dx.doi.org/10.1186/1471-2105-15-S14-S4" target="_blank">http://dx.doi.org/10.1186/1471-2105-15-S14-S4</a></div></div><div><div>URL to Project: </div><div><div><a href="http://scientificdata.isa-explorer.org/" target="_blank">http://scientificdata.isa-explorer.org/</a></div></div></div><br><br><br

The BioSharing Registry: mapping the landscape of standards and databases resources in the life sciences

<p>BioSharing (http://www.biosharing.org) is a curated, web-based, searchable portal of three linked registries of content standards, databases and data policies in the life sciences, broadly encompassing the biological, natural and biomedical sciences. Our records are informative and discoverable, maximizing standards adoption and (re)use (e.g. in data policies), and allowing the monitoring of their maturity and evolution (Tenenbaum, Sansone, Haendel; Am Med Inform Assoc, 2014).</p> <p>With over 1,300 records, BioSharing content can be searched using simple or advanced searches, filtered via a filtering matrix, or grouped via the ‘Collection’ feature, according to field of interest or focus. Examples are the NPG Scientific Data and BioMedCentral Collections, collating and linking the recommended standards and repositories from their Data Policy for author. Similarly other publishers, projects and organizations are creating Collections by selecting and filtering standards and databases relevant to their work, such as the BD2K bioCADDIE project. As a community effort, BioSharing offers users the ability to ‘claim’ records, allowing their update. Each claimant also has a user profile that can be linked to their resources, publications and ORCID ID, thus providing visibility for them as an individual.<br>Launched in 2011 as an extension and evolution of the MIBBI portal (founded by the same Operational Team, led by Sansone), BioSharing is working with a growing number of journals and other registries; it is also part of ELIXIR-UK Node and contributing to the NIH BD2K CEDAR. Driven by an international Advisory Board (co-chaired by Tenenbaum, Haendel) the BioSharing userbase has grown by 40% over the last year, thanks to successful engagement with researchers, publishers, librarians, developers and other stakeholders via several routes, including a joint RDA/Force11 working group (co-chaired by Lawrence and Hodson) and a collaboration with the International Biocuration Society.</p> <p> </p