<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.bath.ac.uk/id/eprint/347'>
    <eprintid>347</eprintid>
    <rev_number>36</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/6238'>
        <docid>6238</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/15652'>
            <fileid>15652</fileid>
            <datasetid>document</datasetid>
            <objectid>6238</objectid>
            <filename>Raw_data_Editors_clean.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>9cf818793bea6ea9be8a8a589cfce504</hash>
            <hash_type>MD5</hash_type>
            <filesize>54966</filesize>
            <mtime>2017-03-27 11:26:09</mtime>
            <url>https://researchdata.bath.ac.uk/347/1/Raw_data_Editors_clean.xlsx</url>
          </file>
        </files>
        <eprintid>347</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>other</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>Raw_data_Editors_clean.xlsx</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>6430</userid>
    <dir>disk0/00/00/03/47</dir>
    <datestamp>2017-10-09 10:04:18</datestamp>
    <lastmod>2024-07-15 10:58:29</lastmod>
    <status_changed>2017-10-09 10:04:18</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Carroll</family>
          <given>Harriet</given>
        </name>
        <id>H.A.Carroll@bath.ac.uk</id>
        <orcid>0000-0002-4998-4675</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
    </creators>
    <title>Feasibility of methods to reduce publication bias_editors</title>
    <subjects>
      <item>JZ0020</item>
    </subjects>
    <divisions>
      <item>dept_health</item>
    </divisions>
    <keywords>publication bias, peer-review, open science, research publication, study reporting</keywords>
    <note>This dataset includes responses from Editors contacted in order to gauge opinions on nine different methods that have been proposed to reduce publication bias.</note>
    <abstract>Responses from Editors in the project &quot;The perceived feasibility of methods to reduce publication bias&quot;</abstract>
    <date>2017-03-24</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <lay_summary>We conducted a survey to help understand the views of journal Editors with regards to different methods of the publication and peer-review process to help reduce publication bias. Editors were asked questions about their views on publication bias and the publication process in general, followed by nine proposals which have been suggested to reduce publication bias. They were asked to choose the proposal they felt to be &apos;most effective&apos; at reducing publication bias, and were asked to rate each proposal from 1 (not at all effective) to 5 (very effective). Throughout the survey, there was open ended questions (all optional to complete) so that respondents were able to discuss the pros and cons to any of the proposals.</lay_summary>
    <corp_contributors>
      <item>
        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <funder_name>Economic and Social Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000269</funder_id>
        <grant_id>ES/J50015X/1</grant_id>
        <project_name>South West ESRC Doctoral Training Centre DTG 2011</project_name>
      </item>
    </funding>
    <collection_method>Bristol Online Surveys was used to gain opinions of journal Editors on the different proposed methods to reduce publication bias during the peer-review and publication process. Editors were chosen via selecting  the first 100 articles to come up in a Google Scholar, Jane Biosemantics and PubMed search of &apos;publication bias&apos;. Additionally, the top 100 journals according to impact factor (assessed via scimagojr.com) were contacted. All searches were conducted in July 2015. Emails to Editors asking them to complete and disseminate the research among their editorial staff were sent, with a subsequent two reminders approximately one month apart if the Editor had not responded.</collection_method>
    <provenance>The ID as used in the manuscript has been included under ‘ID’. 
One Editor used their name instead of journal. This was replaced by their respective journal. 
One Editor stated that they did not want to do the survey, they just wanted to see the questions. Their data have been deleted.</provenance>
    <collection_date>
      <date_from>2015-09-01</date_from>
      <date_to>2015-12-07</date_to>
    </collection_date>
    <temporal_cover>
      <date_from>2015-09-01</date_from>
      <date_to>2015-12-07</date_to>
    </temporal_cover>
    <geographic_cover>UK</geographic_cover>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00347</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.15125/BATH-00348</link>
        <type>data</type>
      </item>
      <item>
        <link>https://doi.org/10.1371/journal.pone.0186472</link>
        <type>pub</type>
      </item>
    </related_resources>
    <access_types>
      <item>open</item>
    </access_types>
  </eprint>
</eprints>
