Roadmap: Global research data management advisory platform combines DMPTool and DMPonline

Roadmap, a global data management advisory platform that links data management plans (DMPs) to other components of the research lifecycle is a new open science initiative from partners at the University of California Curation Center (UC3) of the California Digital Library (CDL), USA, and the Digital Curation Centre (DCC), United Kingdom.

Both organizations sponsor and maintain such platforms, the DMPTool and DMPonline respectively. They allow researchers from around the world to create their data management plans in less time by employing ready-to-use templates with specific guidance tailored to address the requirements of specific funding agencies in the USA and the UK.

Recently, the proliferation of data sharing policies throughout the world has produced increasing demand for data management planning support from both organizations. Therefore, it makes sense for the CDL and DCC to consolidate efforts and move beyond a focus on national researchers and funders to extend their global outreach through Roadmap, a new open-source platform for data management planning. Their proposal was submitted to the Open Science Prize contest and is now published in the open access journal Research Ideas and Outcomes (RIO).

While the two teams have been working together unofficially and engaging in international initiatives, a formal partnership would signal to the global research community that there is one place to create DMPs and find advisory information.

“Research data management (RDM) that enables open science is now acknowledged as a global challenge: research is global, policies are becoming global, and thus the need is global,” explain the authors. “Open science has a global agenda, and by making DMPs true infrastructure in a global open access community we will elevate research and open data for reuse.”

roadmap still

In their joint project, the two organizations will combine their experience along with all existing functionality from their tools regarding the DMP use case into a single technical platform.

“New work on our respective systems is already underway to enable internationalization, integrate with other organizations and technical platforms, and encourage greater openness with DMPs,” they explain. “By joining forces, the Roadmap system will consolidate these efforts and move beyond a narrow focus on specific funders in specific countries, and even beyond institutional boundaries, to create a framework for engaging with disciplinary communities directly.”

To facilitate data sharing, reuse, and discoverability, Roadmap will be integrated with a number of platforms such as the Open Science Framework, SHARE, the Crossref/Datacite DOI Event Tracking system and Zenodo, among others. “Linking systems and research outputs across the web increases the chances that data will be discovered, accessed, and (re)used,” note the authors.

The team’s plan for enhanced openness includes encouraging authors to share their newly created data management plans by setting their privacy on “public” by default. They also intend to assign digital object identifiers (DOIs) to all plans, thus making them citable and motivating their authors to make them openly accessible. As part of this initiative, five researchers have just published their DMPs, created with the DMPTool, in Research Ideas and Outcomes (RIO).

“We see greater potential for the DMP as a dynamic checklist for pre- and post-award reporting; a manifest of research products that can be linked with published outputs; and a record of data, from primary through processing stages, that could be passed to repositories,” state the authors. “The DMP will therefore not only support the management of the data but boost its discoverability and reuse.”

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Original source:

Simms S, Jones S, Ashley K, Ribeiro M, Chodacki J, Abrams S, Strong M (2016) Roadmap: A Research Data Management Advisory Platform. Research Ideas and Outcomes 2: e8649. doi: 10.3897/rio.2.e8649

Empowering stakeholders: FP7 project EU BON shares know-how on biodiversity data policies

Engagement with relevant political authorities and other stakeholders is of crucial importance for a research project, making sure its objectives are in tune with the real-world problems and its results provide adapted solutions. The EU-funded FP7 project Building the European Biodiversity Observation Network (EU BON) shares the outcomes, lessons learned and conclusions from a series of three roundtable meetings designed to identify stakeholder needs and promote collaboration between science and policy.

The collection of EU BON stakeholder roundtable reports provides a summarized overview of shared experiences gained in the three different workshops that were organized from 2013-2016. With more than 100 participants from over 20 countries altogether, the roundtable reports provide insights and exchange of ideas on highly relevant issues concerning policy, citizen science and local/regional stakeholders and its networks.

The roundtables seek to build up a stakeholder dialogue with exemplary sector-specific user communities to incorporate feedback loops for the products of EU BON, as well as to develop improvements of existing biodiversity data workflows. Being published via the innovative Research Ideas & Outcomes (RIO) journal conclusions, derived knowledge and results are now made available for other projects and the wider community to ensure their re-use.

The three roundtable papers report on conclusion on highly relevant issues related to biodiversity information and its open-access and availability, data workflows and integration of citizen science as well as science-policy interfaces.

“In each of the three detailed reports of the roundtables we outline its aims, intentions, as well as results and recommendations, that were drafted based on the roundtable discussions, world café sessions and working groups. Such project results are now published for the first time in the new series of EU BON results, featured in RIO, providing a unique new medium to share experiences, outcomes and conclusions,” comments Dr. Katrin Vohland, Museum für Naturkunde, Berlin.

“The three reports were published as workshop report provided by the Research Ideas & Outcomes (RIO) journal. This allows readers to publish, distribute and computationally analyse myriads of workshop reports that otherwise often get forgotten or just lost,” comments Prof. Lyubomir Penev, co-founder and publisher of RIO.

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Original Sources:

Rationale of the roundtables

Wetzel F, Hoffmann A, Häuser C, Vohland K (2016) 1st EU BON Stakeholder Roundtable (Brussels, Belgium): Biodiversity and Requirements for Policy. Research Ideas and Outcomes 2: e8600. doi: 10.3897/rio.2.e8600

Vohland K, Häuser C, Regan E, Hoffmann A, Wetzel F (2016) 2nd EU BON Stakeholder Roundtable (Berlin, Germany): How can a European biodiversity network support citizen science? Research Ideas and Outcomes 2: e8616. doi: 10.3897/rio.2.e8616

Vohland K, Hoffmann A, Underwood E, Weatherdon L, Bonet F, Häuser C, Wetzel F (2016) 3rd EU BON Stakeholder Roundtable (Granada, Spain): Biodiversity data workflow from data mobilization to practice. Research Ideas and Outcomes 2: e8622. doi: 10.3897/rio.2.e8622

General synthesis and lessons learnt from the three EU BON stakeholder roundtables

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About EU BON:

EU BON stands for “Building the European Biodiversity Observation Network” and is a European research project, financed by the 7th EU framework programme for research and development (FP7). EU BON seeks ways to better integrate biodiversity information and implement into policy and decision-making of biodiversity monitoring and management in the EU.

Making the most out of biological observations data

Creating and maintaining a biodiversity data collection has been a much-needed worldwide exercise for years, yet there is no single standard on how to do this. This has led to a myriad of datasets often incompatible with each other. To make the most out of biodiversity data and to ensure that its use for environmental monitoring and conservation is both easy and legal, the FP7-funded EU project Building the European Biodiversity Observation Network (EU BON) published recommendations that provide consistent Europe-wide Data Publishing Guidelines and Recommendations in the EU BON Biodiversity Portal.

The report “Data Policy Recommendations for Biodiversity Data. EU BON Project Report” featured in the Research Ideas & Outcomes (RIO) journal, is the first contribution in a pioneering comprehensive project outputs compilation taking advantage of RIO’s unique option to publish collections of project results.

Biodiversity data and information provide important knowledge for many biological, geological, and environmental research disciplines. Additionally, they are crucial for the development of strong environmental policies and the management of natural resources. Information management systems can bring together a wealth of information and a legacy of over 260 years of biological observations which are now dispersed in a myriad of different documents, institutions, and locations.

EU BON aims to build a comprehensive “European Biodiversity Portal” that will incorporate currently scattered Europe-wide biodiversity data, while at the same time helping to realize a substantial part of the worldwide Group on Earth Observations Biodiversity Observation Network (GEO BON). To achieve this ambitious plan, EU BON identifies the strong need for a coherent and consistent data policy in Europe to increase interoperability of data and make its re-use both easy and legal.

“Biodiversity data and information should not be treated as commercial goods, but as a common resource for the whole human society. The EU BON data sharing agreement is an important step in this direction,” comments the lead author of the report Dr. Willi Egloff from Plazi, Switzerland.

In its report, the EU BON project analysis available single recommendations and guidelines on different topics. On this basis, the report provides structured guidelines for legislators, researchers, data aggregators, funding agencies and publishers to be taken into consideration towards providing standardized, easy-to-find, re-shareable and re-usable biodiversity data.

“We are extremely happy that EU BON is among the first to take advantage of our project outputs collections option in RIO. The first report they are publishing with us deals with issues of opening up data, and digitizing and collecting scientific knowledge, all close to RIO’s mission to open up the research process and promote open science,” says Prof. Lyubomir Penev, Founder and Publisher of RIO.

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Original Source:

Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes2: e8458. doi: 10.3897/rio.2.e8458

 

About EU BON:

EU BON stands for “Building the European Biodiversity Observation Network” and is a European research project, financed by the 7th EU framework programme for research and development (FP7). EU BON seeks ways to better integrate biodiversity information and implement into policy and decision-making of biodiversity monitoring and management in the EU.

One place for all scholarly literature: An Open Science Prize proposal

Openly accessible scholarly literature is referred to as “the fabric and the substance of Open Science” in the present small grant proposal, submitted to the Open Science Prize contest and published in the Research Ideas and Outcomes (RIO) open access journal. However, the scholarly literature is currently quite chaotically dispersed across thousands of different websites and disconnected from its context.

To tackle this issue, authors Marcin Wojnarski, Paperity, Poland, and Debra Hanken Kurtz, DuraSpace, USA, build on the existing prototype Paperity, the first open access aggregator of scholarly journals. Their suggestion is the first global universal catalog of open access scientific literature. It is to bring together all publications by automatically harvesting both “gold” and “green” ones.

Called Paperity Central, it is to also incorporate many helpful functionalities and features, such as a wiki-type one, meant to allow for registered users to manually improve, curate and extend the catalog in a collaborative, community-controlled way.

“Manual curation will be particularly important for “green” metadata, which frequently contain missing or incorrect information; and for cataloguing those publications that are inaccessible for automatic harvesting, like the articles posted on author homepages only,” further explain the authors.

To improve on its ancestor, the planned catalog is to seamlessly add “green” publications from across repositories to the already available articles indexed from gold and hybrid journals. Paperity Central is to derive its initial part of “green” content from DSpace, the most popular repository platform worldwide, developed and stewarded by DuraSpace, and powering over 1,500 academic repositories around the world.

All items available from Paperity Central are to be assigned with globally unique permanent identifiers, thus reconnecting them to their primary source of origin. Moreover, all different types of Open Science resources related to a publication, such as author profiles, institutions, funders, grants, datasets, protocols, reviews, cited/citing works, are to be semantically linked in order to assure none of them is disconnected from its context.

Furthermore, the catalog is to perform deduplication of each entry in the same systematic and consistent way. Then, these corrections and expansions are to be transferred back to the source repositories in a feedback loop via open application programming interfaces (APIs). However, being developed from a scratch, its code will possess many distinct features setting it apart from existing wiki-type platforms, such as Wikipedia, for example.

“Every entry will consist of structured data, unlike Wikipedia pages which are basically text documents,” explain the scientists. “The catalog itself will possess internal structure, with every item being assigned to higher-level objects: journals, repositories, collections – unlike Wikipedia, where the corpus is a flat list of articles.”

In order to guarantee the correctness of the catalog, Paperity Central is to be fully transparent, meaning the history of changes is to be made public. Meanwhile, edits are to be moderated by peers, preferably journal editors or institutional repository admins overlooking the items assigned to their collections.

In their proposal, the authors note that the present development plan is only the first phase of their project. They outline the areas where the catalog is planned to be further enhanced in future. Among others, these include involvement of more repositories and platforms, fully developed custom APIs and expansion on the scholarly output types to be included in the catalog.

“If we are serious about opening up the system of scientific research, we must plant it on the foundation of open literature and make sure that this literature is properly organized and maintained: accessible for all in one central location, easily discoverable, available within its full context, annotated and semantically linked with related objects,” explain the scientists.

“Assume we want to find all articles on Zika published in 2015,” they exemplify. “We can find some of them today using services like Google Scholar or PubMed Central, but how do we know that no other exist? Or that we have not missed any important piece of literature? With the existing tools, which have incomplete and undefined coverage, we do not know and will never know for sure.”

In the spirit of their principles of openness, the authors assure that once funded, Paperity Central will be releasing its code as open source under an open license.

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Original source:

Wojnarski M, Hanken Kurtz D (2016) Paperity Central: An Open Catalog of All Scholarly Literature. Research Ideas and Outcomes 2: e8462. doi: 10.3897/rio.2.e8462

Openly published Open Science Prize Grant Proposal builds on ContentMine and Hypothes.is to bridge scientists and facts

Public health emergencies such as the currently spreading Zika disease might be successfully necessitating open access for the available biomedical researches and their underlying data, yet filtering the right information, so that it lands in the hands of the right people, is what holds up professionals to bring the adequate measures about.

Submitted to the Open Science Prize contest, the present grant proposal, prepared with the joint efforts of scientists affiliated with Hypothes.is, ContentMine, University of CambridgeCottage Labs LLP and Imperial College of London, suggests a new scholarly assistant system, called amanuens.is, based on the existing ContentMine and Hypothes.is prototypes. Its aim is to combine machines and humans, so that mining critically important facts and making them available to the world can be made not only significantly faster, but also less costly. Through their publication in the open access journal Research Ideas and Outcomes (RIO), the scientists, who are also well-known open access and open data proponents, are looking for further support, feedback and collaborations.

While Hypothes.is is a mixture of software and communities, which together annotate the available literature, ContentMine are building an open source pipeline to extract facts from scientific documents, thus making the literature review process cheaper, more rigorous, continuous and transparent. The role of amanuens.is is meant to bring these two systems together.

As a result, Hypothes.is is to display ContentMine facts as annotations on the online document, therefore increasing their visibility. In turn, the large Hypothes.is community, comprising users ranging from devoted and experienced Wikipedia editors to dedicated citizen scientists, would be able to provide manually their own annotations, which could be then fed back into the ContentMine facts store.

“Facts are important – but science is performed by people – so ContentMine are partnering with Hypothes.is to bring communities together around facts in the scholarly literature,” sums up Dr Peter Murray-Rust. “Through combining machines and humans in a tight, iterating, loop, amanuens.is will be able to mine critically important facts and make them available to the world.”

In their proposal, the authors give a hypothetical, yet foreseeable example with a Hypothes.is community, centered around research and discussions regarding a bacterium, already proven to restrain some mosquitoes from transmitting various viruses, and its potential use against Zika. There, amanuens.is downloads all open access papers on Zika from a multitude of sources within 3 minutes. In a matter of a couple of seconds a total of 123 files are downloaded. Then, amanuens.is delivers a data table of the extracted data, including species, human genes, DNA primers and top word frequencies.

Within the community and thanks to the literature, made available via ContentMine, the users would be able to collaborate and build on the existing research outcomes. As a result, it could take only fifteen minutes and a brief proposal to mobilise the related scholarly resources and test for Zika resistance in infected with the virus mosquitoes.

“Finding facts to finding people took 15 minutes and this is how modern collaborative science should work,” Prof Peter Murray-Rust says about the given example. “The people then create knowledge from the facts. The knowledge creates communities. The communities explore science- and people-based solutions.”

In conclusion, the proposal states that similarly to the content and software provided by ContentMine and Hypothes.is, the outputs produced by amanuens.is will also be openly available. All of its data and annotations are to be public domain under a CC0 waiver.

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Original source:

Martone M, Murray-Rust P, Molloy J, Arrow T, MacGillivray M, Kittel C, Kasberger S, Steel G, Oppenheim C, Ranganathan A, Tennant J, Udell J (2016) ContentMine/Hypothes.is Proposal.Research Ideas and Outcomes 2: e8424. doi: 10.3897/rio.2.e8424