BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//VJPFRN BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-academic-track-VJPFRN@talks.osgeo.org DTSTART;TZID=CET:20220825T120000 DTEND;TZID=CET:20220825T123000 DESCRIPTION:Free and open source software for geospatial analysis (FOSS4G) supports burgeoning possibilities for practicing open and computationally reproducible human-environment and geographical research (Singleton et al 2016).\nOpen and reproducible research practices may accelerate the pace o f scientific discovery and enhance the scientific community's functions of knowledge verification\, correction\, and diffusion (Rey 2009\, Kedron an d Holler 2022).\nGeospatial metadata provides the foundation for reproduci bility and open science and accordingly\, requires more support in open so urce geospatial software.\nFollowing Wilson and others' (2021) five star g uide for reproducibility\, researchers can achieve four stars by conductin g research with open data and software and documenting metadata according to the standards of the International Organization for Standardization (IS O) and OGC (Open Geospatial Consortium).\nFor Tullis and Kar (2021)\, meta data is the key to documenting the provenance of research data artifacts\, preserving information about every detail of data creation and transforma tion.\nWilkinson and others' (2016) FAIR Guiding Principles for scientific data management enumerate functions for metadata in each of the principle s for research: findable\, accessible\, interoperable\, and reusable.\nHow ever\, open source geospatial software platforms generally lack the tools necessary for mainstreaming geospatial metadata into the full research wor kflow in support of more efficient research work and enhanced reproducibil ity and open science.\nThis research on metadata is part of a larger human -environment and geographical sciences reproducibility and replicability ( github.com/HEGSRR) project aimed at conducting formal reproduction and rep lication studies in the geographical sciences and integrating reproducibil ity into undergraduate and graduate level curricula in research methods.\n \nFollowing the National Academies of Science\, Engineering and Medicine ( NASEM\, 2019)\, a reproduction study aims find the same results using the same data and methodology as a published study.\nA replication study aims to test the findings of a published study by collecting new data and follo wing a similar methodology\, which may intentionally modify one or more re search parameters.\nTogether\, reproduction and replication studies offer a deep understanding of the original research\, test its credibility and g eneralizability\, and enhance the self-corrective mechanisms of the scient ific community.\nMetadata is information about data\, including essential contextual information about the data's spatial structure\, attributes\, c reation\, maintenance\, access\, licensing\, and provenance.\n\nA key comp onent of reproducible research is an executable research compendium contai ning all of the data\, code\, and narrative required to compile a research publication from raw data (Nust and Pebesma 2021 and the Opening Reproduc ible Research Project).\nComputational notebooks like Jupyter notebooks or R Markdown are commonly used to interweave narrative with code in executa ble compendia.\nIn order to maximize replicability and inferential power\, the research compendium should begin with a pre-registered research plan prior to data collection\, requiring researchers to fully specify metadata for all of the research data and analyzes that they intend to create (Nos ek et al. 2018).\nIt is recommended to store compendia in version tracking systems like Git in order to preserve a full history of changes to the re search project.\nFinally\, the compendium should be published parallel to academic publications so that other researchers can independently re-run\, check and verify the analysis\, or incorporate the research in future pro jects.\nIn order to maximize the findability and legibility of the researc h compendium for both humans and machines\, the overall repository and eac h of its components must be meticulously documented with metadata accordin g to international standards (Wilkinson et al. 2016\, Wilson et al. 2021). \n\nIn this three-part research paper\, we focus on metadata in research c ompendia and related research products through all phases of the research workflow.\nFirst\, we specify ideal requirements of geospatial metadata in support of reproducible research workflows and open science.\nWe consider metadata needs at each step of the research process\, including proposal writing\, pre-analysis registration\, ethics review board approval\, data collection and analysis\, publishing\, and reproducing published research. \nThe metadata software needs assessment is based on literature review of reproducibility and open science\, and on teaching and practicing reproduc ibility with geographic methods.\n\nSecond\, we review the Dublin Core and International Organization for Standardization (ISO) geospatial metadata standards and popular open source platforms for geospatial research and th eir support for the requirements of geospatial metadata articulated in the first part.\nThe scope of the review includes metadata functionality avai lable through spatial analysis software platforms\, including R\, Python\, QGIS\, GRASS and SAGA\; and it also includes metadata or cataloging tools \, including GeoNetwork\, GeoNode\, the USGS Metadata Wizard\, and mdedito r.\n\nFinally\, we articulate a vision for open source geospatial metadata software development in support of open and reproducible human-environmen t and geographical research.\nIn this vision\, metadata software tools sha ll integrate with executable research compendium to assist researchers wit h their workflow from inception to publishing and archiving.\nThe vision b uilds off our HEGSRR project\, in which we independently reproduce and rep licate published studies with open source geospatial software\, integrate reproduction and replication studies into project-based geographic informa tion science courses\, and develop curricula and infrastructure for reprod ucible research.\nEach section of the paper is thus supplemented with expe riences and examples drawn from the HEGSRR project.\nOf particular relevan ce\, we have already completed seven reproduction or replication studies w ith graduate and undergraduate students using open source geospatial softw are\, encountering numerous barriers caused by inadequate use or documenta tion of metadata in research planning\, execution\, and archiving.\nWe hav e also developed a template Git repository compendium for reproducible res earch and prototyped its use in our studies and teaching\, discovering sof tware barriers to documenting metadata and opportunities to integrate meta data into more efficient and reproducible research practices.\n\nWe have s elected FOSS4G for this research paper in hopes of reaching both the acade mic audience and developer audience at the conference. We hope to raise aw areness in the academic audience of the critical importance of geospatial metadata in each stage of the research workflow. We hope to raise interest in the open source geospatial software community for collaboration on imp roved support for geospatial metadata in research workflows. DTSTAMP:20260413T203518Z LOCATION:Room Hall 3A SUMMARY:Mainstreaming metadata into research workflows to advance reproduci bility and open geographic information science - Joseph Holler URL:https://talks.osgeo.org/foss4g-2022-academic-track/talk/VJPFRN/ END:VEVENT END:VCALENDAR