A survey of current practices in data search services

Published: 14 May 2018 | Version 1 | DOI: 10.17632/7j43z6n22z.1

Description of this data

Relevancy ranking is an important component of making a data repository's search system
responsive to data seekers’ needs. The Research Data Alliance (RDA) Data Discovery Paradigms
Interest Group (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) is a collaborative activity within our data community which aims to improve data
searchability. This survey is intended to gather information about the current practices and lessons
learnt by data repositories in implementing relevancy ranking in search systems. We expect that
analysis of the survey results will:

  • Help data repositories choose appropriate technologies when implementing or improving their search functionality;
  • Provide a means for sharing experiences in improving relevancy ranking;
  • Capture the aspirations, successes and challenges encountered from research data repository managers;
  • Help the Data Discovery Paradigms Interest group align future activities on data search improvement with the interests of data search service providers.

For the above the purpose, we designed a survey instrument to answer the following topics (the numbers in brackets indicate the number of questions asked per topic):

  • What are characteristics of each repositories (5)?
  • What are system configurations (e.g., ranking model, index methods, query methods) (7)?
  • Evaluation methods and benchmark (10)
    ** What has been evaluated?
    ** What evaluation methods have been applied?
    ** How was the evaluation collection built?
    ** What is approximate performance range of search systems with certain configuration?
  • What methods have been used to boost searchability to web search engines (e.g., Google, Bing) (2)
  • What other technologies or system configurations have been employed (5)?
  • Wish list for future activities for the RDA relevance task force (2)?

This collection consists of survey instrument, survey responses and survey report.

Experiment data files

Latest version

  • Version 1


    Published: 2018-05-14

    DOI: 10.17632/7j43z6n22z.1

    Cite this dataset

    Khalsa, SiriJodha; Cotroneo, Peter; Wu, Mingfang (2018), “A survey of current practices in data search services”, Mendeley Data, v1 http://dx.doi.org/10.17632/7j43z6n22z.1


Information Systems, Information Systems Management, Digital Library, Information Retrieval System

Mendeley Library

Organise your research assets using Mendeley Library. Add to Mendeley Library


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.