On Bridging Data Centers and Publishers: The Data-Literature Interlinking Service

نویسندگان

  • Adrian Burton
  • Hylke Koers
  • Paolo Manghi
  • Sandro La Bruzzo
  • Amir Aryani
  • Michael Diepenbroek
  • Uwe Schindler
چکیده

Although research data publishing is today widely regarded as crucial for reproducibility and proper assessment of scientific results, several challenges still need to be solved to fully realize its potential. Developing links between the published literature and datasets is one of them. Current solutions are mostly based on bilateral, ad-hoc agreements between publishers and data centers, operating in silos whose content cannot be readily combined to deliver a network connecting research data and literature. The RDA Publishing Data Services Working Group (PDS-WG) aims to address this issue by bringing together different stakeholders to agree on common standards, combine links from disparate sources, and create a universal, open service for collecting and sharing such links: the Data-Literature Interlinking Service. This paper presents the synergic effort of the PDS-WG and the OpenAIRE infrastructure to realize and operate such a service. The Service populates and provides access to a graph of dataset-literature links collected from a variety of major data centers, publishers, and research organizations. At the time of writing, the Service has close to one million links with further contributions expected. Based on feedback from content providers and consumers, PDS-WG will continue to refine the Service data model and exchange format to make it a universal, crossplatform, cross-discipline solution for collecting and sharing dataset-literature links.

منابع مشابه

Five Stars of Linked Data Vocabulary Use Editorial

In 2010 Tim Berners-Lee introduced a 5 star rating to his Linked Data design issues page to encourage data publishers along the road to good Linked Data. What makes the star rating so effective is its simplicity, clarity, and a pinch of psychology – is your data 5 star? While there is an abundance of 5 star Linked Data available today, finding, querying, and integrating/interlinking these data ...

متن کامل

DRX: A LOD dataset interlinking recommendation tool

With the growth of the Linked Open Data (LOD) cloud, data publishers face a new challenge: finding related datasets to interlink with. To face this challenge, this paper describes a tool, called DRX, to assist data publishers in the process of dataset interlinking and browsing the LOD cloud. DRX is organized in five main modules responsible for: (i) collecting data from datasets on the LOD clou...

متن کامل

SLINT: a schema-independent linked data interlinking system

Linked data interlinking is the discovery of all instances that represent the same real-world object and locate in different data sources. Since different data publishers frequently use different schemas for storing resources, we aim at developing a schema-independent interlinking system. Our system automatically selects important predicates and useful predicate alignments, which are used as th...

متن کامل

DBpedia - A crystallization point for the Web of Data

The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-...

متن کامل

The Identifying, Evaluating and Prioritizing the Factors Affecting Customers’ Satisfaction with E-service Centers of Iran's Police

The present research is classified as an applied one employing a descriptive survey design to describe the status quo of the factors affecting customers’ satisfaction with the E-service centers of Iran’s police, known as 10 + police centers. The research population involves all the costumers of the 10+ police centers, among which 420 individuals were chosen through simple random sampling techni...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

متن کامل
عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015