Trots om als datasteward te hebben meegewerkt aan de publicatie en metadatering van deze bijzondere dataset!
Praktijkgericht onderzoek bij hogescholen omvat zulke bijzondere onderzoeksprojecten. Dit is waarom mijn werk zo leuk is!

#praktijkgerichtonderzoek #opendata #FAIRdataprinciples #Dataversenl #fontysforsociety
#biodiversiteit #AI

https://bron.fontys.nl/bijzonder-ai-model-afgerond-dataset-grootste-ter-wereld/#

Bijzonder AI-model afgerond: ‘Onze dataset is de grootste ter wereld’

Daar zitten de mannen, glunderend van trots. Het zijn Gerard Schouten, lector AI & Data, en onderzoeker Bas Michielsen. Hun vier jaar durend onderzoek, de ontwikkeling van een open source AI-model dat zo’n 50 soorten wilde bloemen kan herkennen en tellen, is afgerond. Evenals de bijbehorende publicatie. “We zijn al bezig met projectaanvragen...

Bron
Eine leichte Neuinterpretation der #FAIRDataPrinciples für IT-Services als weiteres Beispiel für wichtige #OpenScience Initiativen in den Niederlanden:
👉 F: Services sind auffindbar,
👉A: Services sind leicht zugänglich,
👉I: Dienste arbeiten gut mit verwandten Diensten zusammen,
👉R: Dienste werden so organisiert, dass sie wieder in anderen Kontexten eingesetzt werden können. #FAIRResearchIT #DINI25
What does R in #FAIR stand for in the #FAIRdataprinciples? Give it a few minutes, (7 to be exact)
https://youtu.be/fs6dlmT4XiA?si=mPsrdxo2Era_zzwn
The Elements of FAIR - Reusable

YouTube

First trip of this #PhD: going to Rotterdam to learn about improving the #FAIRness of (sensitive) qualitative research data 💡

And yes, if you're based in Maastricht that means taking the train 3,5 hours before the event starts 🫠

@SURF @erasmusuni @DANS_knaw_nwo

#OpenScience #FAIRdataprinciples

Plugging the gaps! Quite an interesting (& useful!) paper exploring disconnection between institutional
policies on research data & practical implementation of #FAIR. Includes some Jedi mind trick suggestions for researcher buy-in! 😉 Study is based on US institutions but I think the findings could be found elsewhere.

Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis https://doi.org/10.7191/jeslib.614 #ResearchData #FAIRdata #FAIRdataprinciples #OpenData

Are Institutional Research Data Policies in the US Supporting the FAIR Principles? A Content Analysis

<p><b>Objective</b>: The FAIR principles were created with the goal of enhancing the reusability of research data and to give guidance on how to make data Findable, Accessible, Interoperable and Reusable. In this article we explore the role of institutional research data policies in enabling and encouraging researchers at their institutions to generate FAIR data.</p><p><b>Methods</b>: We identified the research data policies in place for “very high research activity” institutions (as defined by Carnegie classification) in the United States. We created a list of 31 criteria, based on previous work by Davidson et al. (2019) and Briney et al. (2015), and evaluated the 40 policies using a content analysis methodology. </p><p><b>Results</b>: The guiding principles and the definitions for research data in the policies support the idea that institutional policies are a potential tool for the implementation of the FAIR principles. However, our analysis indicates that they are not generally used for that purpose. Only one policy mentions FAIR. Data sharing is mentioned in half of the policies, but 11 of these only note this concept in the context of funder requirements. Access and retention sections are mostly written without considering publicly available data. Twenty-nine policies do not mention data documentation. </p><p><b>Conclusions</b>: We discuss ways in which these institutional policies represent a missed opportunity to implement the FAIR principles and suggest ways policies could be modified to encourage researchers to follow them. We also discuss future research opportunities to examine how policy implementation may affect what institutional support researchers receive.</p>

Journal of eScience Librarianship

Special issue of JeSLIB recently published, dedicated to papers from the Research Data and Preservation (RDAP) Summit 2022.

Papers include explorations of institutional research data policies in support of #FAIR and investigations of research data sharing behaviour within clinical settings. Worth checking out! Nice!

https://publishing.escholarship.umassmed.edu/jeslib/issue/51/info/ #ResearchData #OpenData #OpenResearch #OpenScience #FAIRdataprinciples

Journal of eScience Librarianship | Issue: Issue: 1(12) Special Issue: Research Data and Preservation (RDAP) Summit 2022 (2023)

#Introduction Hi all, I'm a #digital #archaeologist who has just started a new role at the Archaeology Data Service, a #digital #repositry based in the UK. My role is manage #training and #communications to support the ADS and its adherence to the #FAIRdataprinciples

My research interests are in the #IronAge and #Roman #archaeology of #Britain specifically the settlements known as #oppida

I'm a #rstats and #Rarchaeology enthusiast / newbie (https://github.com/nickyjgarland)

I'm also interested in social #theory particularly #identity theory and #agency, #landscape archaeology and #experiential or #sensory archaeology

Other hobbies include #running and the #NFL (Go Birds)

nickyjgarland - Overview

Archaeologist who uses R. nickyjgarland has 3 repositories available. Follow their code on GitHub.

GitHub