Twenty-nine trainees from 9 countries (Russian Fed., Mongolia, Uzbekistan, Kyrgyzstan, Tajikistan, Kazakhstan, Pakistan, Bangladesh, and Thailand) attended a 20-day training workshop entitled: ' International Workshop on Northeast Asia–Central Asia Regional Resources and Environment Data Sharing ' (10–29 August 2015, Beijing, China). The training was set in a multidisciplinary context and ...
A provisional schedule has now been posted for the WDS co-hosted Second International Polar Data Forum 'International Collaboration for Advancing Polar Data Access and Preservation'. Note that Online Registration is open until 30 September 2015, with the fee set at $250 CDN (Student/Early Career Researcher: $150 CDN). H otel rooms have been block-booked at the Delta Waterloo Hotel, ...
Twenty-five years ago, on 28 August 1990, the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) formally announced a partnership to establish a Distributed Active Archive Center (DAAC) for land remote sensing data in Sioux Falls, South Dakota, at the Earth Resources Observation and Science (EROS) Center. The Land Processes (LP) DAAC (WDS Regular ...
The deadline for Abstract Submissions for the SCOSTEP–WDS VarSITI Workshop has now closed (please direct enquiries to the contact below). A provisional programme and more details on the VarSITI Data Analysis Session can be found on the Workshop website. Note that Registration for the Workshop is free of charge, and should be completed by 15 September 2015 using the following Form . ...
LANCE AMSR2 Near Real-time Snow Products Available
The NASA Land Atmosphere Near real-time Capability for EOS (LANCE) AMSR2 Processing Center at the Global Hydrology Resource Center Distributed Active Archive Center (WDS Regular Member) has announced the availability of the dataset NRT AMSR2 Daily L3 Global SWE EASE-Grids. This dataset contains snow water equivalent (SWE) data and quality assurance flags mapped to the Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth (EASE) Grids. It is generated incrementally in near real-time using data acquired from the AMSR2 instrument on the Japanese Aerospace Exploration Agency GCOM-W1 satellite.
LANCE AMSR2 near real-time data and imagery, with noted limitations, are generated and available to registered users via HTTPS with an average latency of less than 3 hours. While not a substitute for climate research quality products, near real-time products are in high demand in fields such as numerical weather prediction and forecasting, monitoring of natural hazards, disaster relief, agriculture, and homeland security. More information about LANCE AMSR2 near real-time data is available here.
New Hazards Mapper Tool from SEDAC
A new Hazards Mapper tool from Socioeconomic Data and Applications Center (SEDAC; WDS Regular Member) combines layers from various sources to enable users to visualize data and maps related to socioeconomic, infrastructure, natural disasters, and environment topics, as well as analyze potential impacts and exposure.
More information on point features such as power plants can be obtained by simply clicking on them, where—in this instance—the outputs for the past 10 years are depicted using a line graph. Users can also define an area of interest on a map by drawing a circle or polygon around it to obtain an estimate of the total population and land area enclosed within the boundary.
The SEDAC Hazards Mapper can be found here.
The DLI Service: An Open and Universal Data–Literature Interlinking Service
A blog post by Paolo Manghi and Sandro La Bruzzo (OpenAIRE)
Sharing links between the published literature and datasets is crucial to achieve the full potential of research data publishing. This article presents the coordination and implementation efforts of the ICSU-WDS–RDA Data Publishing Services Working Group (DPS-WG) and the OpenAIRE infrastructure towards realizing and operating an open and universal data-literature interlinking service (DLI Service). The service is the result of an open collaboration between major stakeholders in the field of data publishing. It provides access to a graph of dataset–literature and dataset–dataset links collected from a variety of major data centres, publishers, and research organizations. On the basis of feedback from content providers and consumers, the service will also enable the incremental refinement of an interlinking data model and exchange format, towards shaping up a universal, cross-platform, cross-discipline solution for sharing dataset–literature links.
Introduction and vision
Challenges to realize the full potential of research data exist at different levels—from cultural aspects, such as proper rewards and incentives, to policy and funding, and to technology. The challenges are interconnected and impact a diversity of stakeholders in the research data landscape—including researchers, research organizations, funding bodies, data centres, and publishers. To make progress in overcoming barriers and building a stronger research data infrastructure, it is essential that the different stakeholders work together to address common issues and move forward on a common path. Alongside other organizations, the ICSU World Data System (ICSU-WDS), the Research Data Alliance (RDA), and OpenAIRE provide useful forums for such collaborations. In particular, they are today working in synergy on an initiative that brings together different parties in the research data landscape with the objective of creating the Data Literature Interlinking Service (DLI Service), namely, 'an open, freely accessible, web-based service that enables its users to identify datasets that are associated with a given article, and vice versa'. At the moment of writing, members of the initiative include: the ICSU-WDS–RDA DSP-WG, OpenAIRE, RDA, ICSU-WDS, STM, CrossRef, DataCite, ORCID, the Australian National Data Service, and the RMap project. The vision is that of moving away from several bilateral arrangements that characterizes the research ecosystem today, towards establishing common standards and tools that sit in the middle and interact with all parties (see Figure). Such a transition would facilitate interoperability between platforms and systems operated by the different parties, reduce systemic inefficiencies in the ecosystem, and ultimately enable new tools and functionalities to the benefit of researchers.
The DLI Service populates and provides access to a graph of 'authoritative' dataset–literature links collected and aggregated from a variety of major data centres, publishers, and research organizations. It is intended to offer facilities for the following classes of actors:
– End users: Searching and browsing the graph of links via the Prototype PORTAL
– Third-party service developers: Accessing publications and datasets in the graph via programmatic APIs
– Content providers: Willing to feed high-quality authoritative links between publications and datasets or between datasets to the service (complete list of content providers).
Note: Formal data acquisition policies, SLAs, and data provider registration procedures will be produced at a later stage; currently each 'application' is processed independently with bilateral agreements. on the basis of feedback from content providers and consumers, The DLI Service will refine its underlying interlinking data model and exchange format to make it a universal, cross-platform, cross-discipline solution for collecting and sharing dataset–literature links, balancing between the information that can be shared across content providers and the information needed by its consumers.
In the forthcoming months, further work will be carried out towards the delivery of a production service that is fully reliable in terms of QoS and quality of content. The following actions will be undertaken:
- Definition of a content acquisition policy: minimal quality requirements to be respected by content providers in order for their publications, datasets and relative relationships to be aggregated by the system;
- Definition of SLAs for content providers: make sure content providers are aware and agree on how their content (metadata) will be made openly accessible via the service;
- Technical enhancements: data harmonization (e.g. cross-PID deduplication), data programmatic access (e.g. high-throughput resolver), data scalability (e.g. moving away from open source databases).
- Deployment as an OpenAIRE infrastructure operational service: deploying the service on the OpenAIRE hardware infrastructure.
'Giving Researchers Credit for Their Data': Your Help With our Survey Request
A blog post by Fiona Murphy, representative of John Wiley & Sons Ltd. (WDS Associate Member)
JISC (United Kingdom) is supporting our group to research the case for and develop an API and ‘helper app’ that allows researchers who have deposited data in a repository to automatically submit a ‘data article’ to a journal at the click of a button (JISC’s Research Data Spring site)
The proposed API will transfer data and metadata from the repository to a journal’s submission system, with an intermediary ‘helper app’ allowing authors to add their manuscript, references and other necessary information before submission. Article metadata will be sent back to the repository upon publication. These tools will be designed for maximum interoperability and made freely available.
This initiative will make it much easier for authors to obtain credit, visibility and peer review for their data via data article publication. This will have knock-on benefits for other stakeholders: journals will receive more submissions and link referrals, repositories will gain more deposits and more complete metadata, and readers will have better methodological detail to help them reuse or replicate data.
We are keen to hear from interested stakeholders, especially publishers and repositories. To that end, we've compiled 2 short surveys (approximately 10 minutes long) to enhance the scope and utility of the project. Please take part in either the Publishers or Repositories survey—links below—and feel free to pass this message on to others.
With many thanks,
Neil Jefferies (Bodleian Libraries),
Thomas Ingram (F1000Research),