"Research data management has become an inevitable part of research, and both funding agencies and publishers nowadays require open and reusable data. This article focuses on one of the most prominent initiatives promoting reusability of research data – the FAIR guiding principles – nowadays widely accepted as the new standard for research data management. Through semi-structured interviews, we investigated researchers’ experiences of practicing FAIR research data management within the context of a multi-stakeholder project within the field of health research funded by the European Commission. Our analysis showed that the informants’ experiences of practicing FAIR research data management differed largely depending on which scientific tradition they belonged to; something that previous studies have attributed to shortcomings in the current infrastructure, lack of resources and persistent cultures around data sharing in the wider scientific community. Drawing on previous work presented within the field of Critical Data Studies (CDS), we argue that our findings point to a more fundamental problem; namely the failure to recognize that the FAIR framework is built on a positivist conceptualization of data. We argue that if FAIR is to have any chance of succeeding in its ambitions to be as inclusive and all-encompassing as it wants to be, these insights need to be taken more into account and provide some potential pathways."
Recent searches
Search options
#datagovernance
This was not hard to predict. #Data governance needs to go beyond a data entry for "Reason?" as that is clearly too vague. If #California wants to continue deploying and operating #ALPR technology, we need #datagovernance and accountability NOW.
#flock #deflock #alprspotting #ice #fuckICE #surveillance #policestate
Law enforcement agencies are violating California law and sharing license plate reader data with federal authorities https://calmatters.org/economy/technology/2025/06/california-police-sharing-license-plate-reader-data/
https://www.europesays.com/2101389/ Cloudera adds AI & secure visualisation to on-prem data tools #AmazonBedrock #ArtificialIntelligenceAI #BigData #BusinessIntelligence(BI) #Cloudera #Data #Data&Insights #DataAnalytics #DataGovernance #DataIntegration #DataPrivacy #DataSecurity #DataVisualisation #HybridCloud #Integration #MachineLearning(ML) #MultiCloud #OpenAI #SoftwareDevelopment
Join us for Deep Dive: Data Governance, a virtual 3-day event hosted by OSI. Submit your talk and help shape the conversation on #DataGovernance and #OpenSourceAI! https://opensource.org/datagovernanceconf
Together with @yanasuchikova we presented our talk "From Data Loss to Data Responsibility" at the IAP–ISC webinar on safeguarding scientific data in times of crisis.
Slides: http://dx.doi.org/10.13140/RG.2.2.28174.27203
We spoke about rebuilding a university's data infrastructure after occupation — and why FAIR is not enough without CARE.
https://www.europesays.com/2092537/ NetApp partners with NVIDIA to boost AI data storage in Australia #AIAdoption #AIAgents(AgenticAI) #ArtificialIntelligenceAI #australia #CloudStorage #DataGovernance #DataInfrastructure #DataSecurity #EnterpriseStorage #GenerativeAI(GenAI) #NetApp #Nvidia #RAG #RetrievalAugmentedGeneration(RAG)
CFPs open for OSI's Deep Dive: Data Governance, a 3-day virtual event on #datagovernance and #opensourceai
https://www.europesays.com/2043089/ New Zealand urged to boost digital strategy & address tech gaps #aotearoa #ArtificialIntelligenceAI #Cybersecurity #DataGovernance #DataSecurity #DigitalDivide #DigitalEconomy #DigitalInclusion #DigitalLiteracy #DigitalStrategy #DigitalTransformation #DigitalWorkforce #GenerativeAI(GenAI) #NewZealand #NewZealand(NZ) #OneNewZealand #TUANZ
In this new article @mpoblet and I propose a polycentric democratic governance approach for Europe's digital future. Some of the main points in the thread below 
"Both for #datagovernance and #standards, what matters is #structuralpower. If you have it, you can meaningfully steer both, if you don't, you can't. I am not claiming that discussing these topics today isn't useful, it can be, but hoping that they will have transformative impact without access to structural power is wishful thinking.
The #urgency created by the #technoauthoritarian alignment between #BigTech and the #Trumpregime is the driving priority: first, reclaim structural power. Once that's done, we can debate the rest."
@robin
We're #hiring!
Two(!) full #professorships open in our department at WU Vienna (Vienna University of Economics and Business) under two complementary focus topics:
1) #Foundations of contemporary #InformationSystems, where we look for candidates who complement and strengthen the existing research at our department in areas such as:
· #ArtificialIntelligence: #AI Systems and Architectures
· #DataMining and #MachineLearning
· #DistributedSystems and #Decentralization
· #DistributedLedgers
· #Cloud and #Virtualisation
· #IoT and #EdgeComputing
· #DataGovernance for AI
2) #OperationsManagement with a focus on #DigitalTransformation, where the candidate’s expertise falls within one of the following research areas:
· #behavioural #operations
· AI application to #process improvements
· integrated #supplymanagement and #demandmanagement
· #ProductionPlanning and control
· #SupplyChain planning and control
· circular supply chains and sustainable supply chain management
· #tokenization in supply chains and new product development
Details at the link below... Please get in touch, if you want to know more!
Keep, Measure, and Curate
If you’re not curating the wisdom, knowledge, information, and data sources, things will get sticky, messy, and ugly.
http://inaniludibrio.com/2025/03/18/keep-measure-and-curate/
The Fair Credit Reporting Act (FCRA) is enforced by the Federal Trade Commission (FTC) and Consumer Financial Protection Bureau (CFPB) which are thisclose to being abolished by the administration.
High Performance PostgreSQL for Rails by Andrew Atkinson is part of a 16-ebook $18 bundle! Pragmatic Bookshelf and Humble Bundle have made it available along with Practical A/B Testing, Designing Data Governance from the Ground Up, SQL Antipatterns Vol. 1, and others. Pretty sweet deal!
https://www.humblebundle.com/books/data-engineering-and-management-pragmatic-books
“#DataGovernance is often a jargon-filled endeavor that causes many to struggle.”
Ask me anything.
https://open.substack.com/pub/thecognitivepath/p/transformation-the-key-to-winning
Oh, hey, #DataGovernance, #DataQuality, and #DataStewardship are constructs which have been around for as long as the relational database has been in existence, and are pathologically ignored because they reveal truth to power in uncomfortable ways.
https://newsie.social/@ZhiZhu/114059215101142694
"What happens when we put love and intimacy at the center of our understanding of privacy, and what are the consequences of their disavowal, in favor of a more familiar technocratic definition of privacy-as-absense? What role does our deep desire for love and belonging, and our concomitant fear of shame and rejection, have to do with the (mis)direction of tech capital and the current, warped shape of the tech industry and its products?"
Enjoy the clarity of 40 minutes with @Mer__edith: https://media.ccc.de/v/38c3-feelings-are-facts-love-privacy-and-the-politics-of-intellectual-shame
The reason that #DataGovernance, #DataStewardship, and #DataQuality are quickly dismissed and ignored by #technostructures is because they are a forcing-function for #ontology, revealing #power dynamics of #InformationPolitics.
Ask me anything.
"Powerful actors, governments, and corporations are actively shaping narratives about artificial intelligence (AI) to advance competing visions of society and governance. These narratives help establish what publics believe and what should be considered normal or inevitable about AI deployment in their daily lives — from surveillance to automated decision-making. While public messaging frames AI systems as tools for progress and efficiency, these technologies are increasingly deployed to monitor populations and disempower citizens’ political participation in myriad ways. This AI narrative challenge is made more complex by the many different cultural values, agendas, and concepts that influence how AI is discussed globally. Considering these differences is critical in contexts in which data exacerbates inequities, injustice, or nondemocratic governance. As these systems continue to be adopted by governments with histories of repression, it becomes crucial for civil society organizations to understand and counter AI narratives that legitimize undemocratic applications of these tools.
We built on the groundwork laid by the Unfreedom Monitor to conduct our Data Narratives research into data discourse in five countries that face different threats to democracy: Sudan, El Salvador, India, Brazil, and Turkey. To better understand these countries’ relationships to AI, incentives, and public interest protection strategies, it is helpful to contextualize AI as a data narrative. AI governance inherently involves data governance and vice versa. AI systems rely on vast quantities of data for training and operation, while AI systems gain legibility and value as they are widely integrated into everyday functions that then generate the vast quantities of data they require to work."
#AI #AINarratives #AIHype #AITraining #AIGovernance #DataGovernance
https://globalvoices.org/2024/12/23/artificial-intelligence-narratives-a-global-voices-report/