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Open Data Surveys: emerging findings, geographic coverage, user interests and converging questions

  • Creator
  • #134329

    Ingeborg Meijer

    Collaborative session notes:
    The 90 minute session has the following agenda
    1. Introduction of IG and update of progress on tasks – 10 minutes
    2. Demonstration of online SuAVE tool  – 10 minutes
    Online contribution from Ilya Zaslavsky, who developed the tool
    3. Input from other RDA surveys, e.g. Marta Teperek (TU Delft) and James Wilson (10 min)
    4. Q&A from audience – 10 minutes
    5. Geographic mapping of surveys, demonstration of results – 10 minutes
    6. Session with the African Open Science Platform on specific local needs (including interaction with audience) – 15 minutes
    7. Clusters of questions and topics having a funder or policy relevance – 10 minutes
    We aim to invite a person with a Nordic perspective, and include our group participants in the discussion.
    8. Response from RDA internal participants, funders, policy and professionals – 10 minutes
    9. Closing and next half year – 5 minutes

    Additional links to informative material…issues-and-outlook

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    Avoid conflict with the following group (1)
    Research Data Architectures in Research Institutions IG

    Avoid conflict with the following group (3)
    RDA in Netherlands

    Group chair serving as contact person
    Ingeborg Meijer

    Meeting objectives
    In the meeting we aim to follow up on the three lines of action we have been pursuing to achieve the objectives outlined in our charter. These activities are taking place in parallel and include:

    Convene User Communities:

    Our recent efforts to analyze the geographic distribution of open data survey respondents have shown that the Global South is underrepresented. This is an important gap to address given that there is clear interest in open science and open data in these regions. Organizations such as the African Open Science Platform, which is connected to our IG since the 12th RDA Plenary, are championing open data in many underrepresented countries and as part of this objective we aim to develop a better understanding of their specific needs and perspectives.
    The main question we seek to answer with this objective is “What does the African Open Science Platform want to achieve with their survey?” By posing this question to fellow RDA members, we hope to promote dialogue around how to better design surveys bearing the local contexts in which they are used in mind.


    Develop a community-designed modular and interoperable open survey(s):

    During our IG kick off session in Botswana, we met with many interested people from diverse professional backgrounds that were interested in open data surveys. We can divide those interested people into two groups: RDA-internal and RDA-external.

    RDA-internal groups are sending surveys out regularly. The IG will collect these surveys, and use their RDA page as an avenue to share results openly.
    Many people that follow our IG have already pointed out that different questionnaires exist. To improve survey design and facilitate comparisons, we will align questionnaires by harmonizing the wording used in questions that need to be answered to develop open data policies. Furthermore, we will communicate more systematically with the RDA-internal groups through the website and share findings that emerge from our own survey efforts. Currently we are aware of the following RDA surveys been sent out:

    RDA Europe National Nodes Community Survey:
    Research Engagement with Data Management: What Works?
    A questionnaire from the Research Data Architectures in Research Institutions IG
    rda-netherlands with survey from the LCRDM Task Group Data Stewardship:

    For those in the RDA-external group we are currently updating the contact lists and will inform them of the content/material on open data surveys we have obtained to date through our IG website.
    As part of our ongoing recruitment efforts, we aim to engage specifically  with funders and policy makers, as they well-positioned to translate survey findings into policies that support open data practices.

    In our Horizon scanning exercise, we have identified and collected results from a number of open data surveys, many of which were held at least twice (see 3.).  Some of these were used as input to and comparison material of national surveys. Translating surveys in national language (as shown in the Japanese user case) and survey contexts that are appropriate showed that questions can be broadly categorized along key topics.
    The main questions we seek to answer as part of our survey design objective is “what are similarities and differences in topics addressed in open data surveys?”. As part of this, we also want to compare what indicators are used to measure uptake of survey results and identify key value drivers for open data surveys in different groups of stakeholders (including policy makers, funders and scientific publishers).


    Determine how such open survey(s) could be implemented and results analyzed globally:

    Given that members of this IG are generating open data survey results, we have taken it upon ourselves to make these results openly available in an easily discoverable repository that facilitates data visualization. To that gain, we have partnered with the online tool SuAVE housed at the San Diego Super Computer Center
    We are currently running a trial on uploading existing data from a survey carried out by a scientific publisher. Our hope is that by proving templates and platforms through which group members can easily upload their data, we will make survey results more comparable; facilitate benchmarking and foster collaborations on longitudinal studies.
    In taking this coordinate approach, we will be able to upload the questionnaires produced as part of objective 2 to further support harmonized survey questionnaires.

    The Austrian use case that we presented in the 12th Plenary meeting demonstrated how policymakers can benefit from using open data surveys to inform policy interventions. We will continue mapping the results of the combined surveys acquired through this IG and highlight useful cases that outline specific geographic contexts (as discussed in objective 1) and focused interventions by stakeholders (e.g. funders, policy makers, or professionals in HEI’s and research institutes).

    The main question we aim to answer as part of this objective is “how can mapping exercises be translated in policy relevant information and subsequent interventions?”. This a crucial element of translating survey results into action and much like the questionnaires, additional effort is required to make sure those championing open data are equipped to translate results into policy decisions.

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