This file hosts metadata about or links to resources that seem relevant for activities covered by this repo, but that have not been incorporated in any of the more specific files yet. Most of these I have read already but typically under circumstances that did not provide me with an opportunity to properly include them here. The plan is thus to spend an entire day every now and then on sorting and reading through these resources and putting them into context, be it in one of the more thematically focused files in this repository or elsewhere.
- What should a modern scientific infrastructure look like?
- What scientific idea is ready for retirement?
It is time for science to go agile.
[..]
academic publishing [must] move from its current read-only model and embrace a process as dynamic, up-to-date, and collaborative as science itself.
[..]
What academic literature needs goes deeper than the view of citations as kudos and shout-outs. It needs what software engineers have used for decades: dependency management.
[..]
An academic publisher worth their salt would also accommodate another pillar of modern software development: revision control. Code repositories, like wikis, are living documents, open not only for scrutiny, censure and approbation, but for modification.
[..]
A Git repository is the best of top-down and bottom-up, of dictatorship and democracy: its leaders set the purpose and vision, have ultimate control and final say—yet any citizen has an equal right to complain, propose reform, start a revolt, or simply pack their bags and found a new nation next door.
[..]
Authors need not thank "anonymous readers who spotted errors and provided critical feedback" when those readers' corrections are directly incorporated (with attribution) as differential edits. Those readers need not offer their suggestions as an act of obligation or charity, and they need not go unknown.
- Guidelines for Participating in Wikipedia from NIH
- NIH Fiscal Year 2016 Budget Request
- Working Group on Data and Informatics
- Science Gossip – a citizen science project
- Is climate change affecting the UK’s orchids?
- Clinical Trial Data: Share and Share Alike?
- What difference does quantity make? On the epistemology of Big Data in biology
- Interactions of Cultures and Top People of Wikipedia from Ranking of 24 Language Editions
- What Drives Academic Data Sharing?
- To Apply or Not to Apply: A Survey Analysis of Grant Writing Costs and Benefits
- Global Farm Animal Production and Global Warming: Impacting and Mitigating Climate Change
- Medicinal plants, human health and biodiversity: a broad review
- Linking biodiversity, diet and health in policy and practice
- WHO report "Connecting Global Priorities: Biodiversity and Human Health"
- Embedded in nature: human health and biodiversity
- Big Data privacy report
- STM Report 2015
- Patterns of Patronage: Why Grants Won Over Prizes in Science
- Wikipedia – challenges and new horizons in enhancing medical education
- Crowdsourcing the identification of organisms: A case-study of iSpot
We propose that the success of iSpot arises from the structure of its social network that efficiently connects beginners and experts, overcoming the social as well as geographic barriers that normally separate the two.
- Is there a library-sized hole in the internet?
- Refining the brightest and best new ideas in research data management
- Professor uses data gathered from squirrels to make music
- Assessing the research potential of access to clinical trial data
- Data Sharing Expectations for Clinical Research Funded by NIMH
- Reinventing Healthcare to Serve People, Not Institutions
- Science Bots: a Model for the Future of Scientific Computation?
- Research data at your fingertips
- People’s health at the centre of new global blueprint to reduce disaster risks
- Drug Safety in the Digital Age
- Big Data for Advancing Dementia Research – An Evaluation of Data Sharing Practices in Research on Age-related Neurodegenerative Diseases
- Open Collaboration Data Factories
- Wikipedia Chemical Structure Explorer: substructure and similarity searching of molecules from Wikipedia
- HHS Sustainability
- Protein crystallography for non-crystallographers, or how to get the best (but not more) from published macromolecular structures
- Riding the wave - How Europe can gain from the rising tide of scientific data - Final report of the High Level Expert Group on Scientific Data - October 2010
- If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology
- Sharing and Reporting the Results of Clinical Trials
- Finding the Missing Link for Big Biomedical Data
- Improving patient flow across organisations and pathways
- Introduction to Statistics (using Python for data science)
- A modern guide to getting started with Data Science and Python
- How Big Data is Changing the Hiring Game
- 19 Excellent Free & Open Data Sources for Doing #DataScience
- Astronomy’s Looming Big Data Problem Has a New Solution
- FuturICT
- Data-driven Health Care
- State of the art review: the data revolution in critical care
- Blue Button
- OpenNotes — "sharing physician's notes with patients"
- Extreme cryptography paves way to personalized medicine
- Get My Health Data
- Data Driven: Creating a Data Culture
- Data Scientist: The Sexiest Job of the 21st Century
- OpenSaaS and the future of government IT innovation
- A New Open-Source Model For SaaS
- Data Science: An Introduction (Wikibooks)
- The First Ever Data Scientist
- Data Science: The Paper that Started it All
- Helmsley Trust: Biomedical Research Infrastructure
- Visible prices
- Think of a medical spin to it
- Science as a public enterprise: the case for open data
- prose.io
- Enabling data linkage to maximise the value of public health research data
- Awesome public datasets on GitHub
- The Wealth of the Commons: A World Beyond Market and State
- Towards a Design Space for a Commons Provenance System
- Data Journalism Handbook
- Frictionless data
- Play to Cure: Genes in Space
- Database citation in supplementary data linked to Europe PubMed Central full text biomedical articles
- Internet publicity of data problems in the bioscience literature correlates with enhanced corrective action
- How to anonymously share data?
- The What, Why, and How of Born-Open Data
- Software Carpentry: lessons learned
- FIWARE
- Centre of Genomics and Policy
- Love your data – and let others love it, too
- nature.com ontologies
- Den Haag Manifesto — Five steps to bringing Persistent Identifiers and Linked Open Data together
- Examplotron
- Sonification:
- PIXELSYNTH (on GitHub)
- SoniPy
- sonification on GitHub
- Final Research Unplugged to focus on sonification
- The Visual Microphone: Passive Recovery of Sound from Video
- An Artist Uses an iPhone to Visualize Sounds in A.R.
- Sonification at Virginia Tech (in The Cube)
- more info on The Cube
- Eveson (Event Sonification)
- Is software a primary product of science?
- Why you can't run your company with big data
- Why Big Data And The Internet of Things Are A Perfect Match
- Beyond Just “Big” Data
- Visualization of Migration of Honey Buzzards
- DataViva — designed "to make reports obsolete"
- NIH research: Think globally
- Government Is "More Data-Driven Than Most Companies," Says America's First Chief Data Scientist
- Model organism databases
- Nephele — platform for microbiome analysis
- Global Alliance for Genomics and Health
- 3rd plenary meeting (June 9-11, Leiden)
- ENIGMA (Evidence-based Network for the Interpretation of Germline Mutant Alleles)
- Introducing the Scholarly Markdown Bundle
- Research Object Bundle 1.0
- R Compendium
- National Network of Libraries of Medicine (NN/LM)
- Drug approved for Alzheimer's
- Apple wants to transform the pharmaceutical industry by changing the way clinical trials are done
- Peter Diamandis' Bold a Reminder of How Entrepreneurs Will Control the World's Fate
- On "Bold"
- Royal Society event on the future of scientific communication
- On PMC Handling Author Manuscripts
- Timo Hannay on future of science communication
Freed of the practical and economic constraints of print, journals will also need to encompass a far wider range of contribution sizes, just as the unit of publication in mainstream publishing has broken beyond the traditional bounds of a book and now ranges anywhere from a tweet to Wikipedia. With the advent of collaborative online databases, it is now perfectly feasible for a useful contribution to the scientific corpus to be comprised of literally one 'bit' of information. And, given the exponential arc of technological progress, within a decade or two the maximum size of a new scientific contribution may well exceed the sum total of all the scientific data that exist today.
- Live-blog: the Future of Scholarly Scientific Communication
- commcerce.gov big data project with Amazon Web Services, Google Cloud Platform, IBM, Microsoft Corp., and the Open Cloud Consortium
- BD2K on GitHub?
- BD2K all-hands meeting
- Reuse of publicly available biomedical data is increasing and producing some great successes
- TED MED Great Challenges
- Open research and collaborations
- Draw Science
- NIH BioSketch
- How to use crowdfunding to support your research
- Crowdfunded science: harnessing the wisdom of the crowd, or selling out?
- Great Github list of public data sets
- Wildscreen Arkive
- Effectiveness of public deliberation methods for gathering input on issues in healthcare: Results from a randomized trial
- 'Living figures' make their debut
- Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm
- Bibliometrics: The Leiden Manifesto for research metrics
- NASA's Data Portal
- If Britain’s top economists were in charge, what policies would they implement?
- see also Spending on Science, new paper
- How to Get All Trials Reported: Audit, Better Data, and Individual Accountability
- Medical Subject Headings (MeSH) RDF
- Code.org
- Schimmer, R., Geschuhn, K. K., & Vogler, A. (2015). Disrupting the subscription journals’ business model for the necessary large-scale transformation to open access. doi:10.17617/1.3.
- What should a modern scientific infrastructure look like?
- Paperity
- PressForward
- Helping Doctors and Patients Make Sense of Health Statistics
- Excellent Science in the Digital Age
- The Information Age Is Over. Welcome to the Infrastructure Age.
- WikiBrain
- see also IEG grant
- PASTEUR4OA newsletter May 2015 with policy updates around OA across Europe
- PASTEUR4OA report on policy effectiveness
- PASTEUR4OA/Open Access to Research Data
- The Big Data Brain Drain: Why Science is in Trouble
- Hacking Academia: Data Science and the University
- Prize4Life
- Pooled Resource Open-Access ALS Clinical Trials Database
- Software Carpentry lessons
- Statistics: P values are just the tip of the iceberg
- Growth of OA-only Journals Using a CC-BY License
- Passing Review: how the R-index aims to improve the peer-review system by quantifying reviewer contributions
- Drug trials firm to challenge plans for greater transparency over results
- A Global Biomedical R&D Fund and Mechanism for Innovations of Public Health Importance
- The Unreasonable Effectiveness of Data
- A multi-subject, multi-modal human neuroimaging dataset
- Asterank is a scientific and economic database of over 600,000 asteroids
- Supporting Diversity in Science through Social Networking
- ImageNet (annotated image database for machine vision learning)
- Heart BD2K has community science as its third pillar
- Johns Hopkins looks for alternative funding for research as NIH grants lag
- COAR: "Promoting Open Knowledge and Open Science: Current State of Repositories, May 2015"
- Natural selection of academic papers
- Why Current Publication Practices May Distort Science
- The NHS belongs to the people: a call to action
- “We the Scientists”: a Human Right to Citizen Science
- Research groups: How big should they be?
- Speeding up scholarly communication for rapid sharing
- 10 Simple rules for design, provision, and reuse of persistent identifiers for life science data
- Editorial: The Rise of the Asterisk: One Step to Facilitate Team Science
- Sizing the Problem of Improving Discovery and Access to NIH-Funded Data: A Preliminary Study
- "About 12% of the articles explicitly mention deposition of datasets in recognized repositories, leaving 88% that are invisible datasets."
- How Do You Know Which Health Care Effectiveness Research You Can Trust? A Guide to Study Design for the Perplexed
- Who Will Pay for Public Access to Research Data?
- The Resource Identification Initiative: A cultural shift in publishing
- Father of Web Calls for Opening Up Clinical Research Data
- Publishing in transition – Do we still need scientific journals?
- A Local Doctor Wants to Make Cancer Research Open-Source
- Sparrho — discovery tool
- A grant to help us integrate GitLab with open source OSF
- Science isn't broken
- How journals like Nature, Cell and Science are damaging science
- "The Winnower will explore if publishing post-publication peer reviews can be incentivized by elevating peer reviews to the same level as original research, with all the affordances and services of scholarly publications."
- Sharing Research Data and Intellectual Property Law: A Primer
- WikiConference USA 2015 submission: Open biomedical knowledge: Wikipedia, Wikidata, and beyond
- NICHD Data and Specimen Hub
- The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics
- New World Bank report: How Open Data can drive sustainable development
- Going beyond the published article: how Open Access is just a start
- Wikipedians reach out to academics
- Possible project: mapping authors to Wikipedia entries using lists of published works
- Wikidata, Wikipedia, and #wikisci
- Hypothes.is revisited: annotating articles in BioStor
- Goals of science vs Goals of scientists (& a love letter to PLOS One)
- Open Access to a High-Quality, Impartial, Point-of-Care Medical Summary Would Save Lives: Why Does It Not Exist?
- Wikibase DataModel Services
- There's No Money in Linked Data
- In the public interest — story by patient relative about paywalls as access barriers
- Retraction Watch is growing, thanks to a $400,000 grant from the MacArthur Foundation
- Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science
- L’open source n’a pas (encore) révolutionné la science
- On radical manuscript openness
- How to Become a Data Scientist for Free
- "The SOAPdenovo2 case study is a reproducibility study"
- Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisations
- Computational Biology: Moving into the Future One Click at a Time
- Teen citizen scientists are giving us inside knowledge to fight disease
- Power to the people: Citizen science meets precision medicine for rare disease
- NIOSH: Collaboration with Wikipedia
- Is Wikipedia a reliable learning resource for medical students? Evaluating respiratory topics
- Wikidata lists – Full Circle
- Wikidata Query Service (SPARQL endpoint)
- Principles for Open Scholarly Infrastructures
- DOI Event Tracker
- Research groups: How big should they be?
- Healing the NIH-Funded Biomedical Research Enterprise (paywalled)
- Big Data Value Association
- Papers that triumphed over their rejections
- How Are the Mighty Fallen: Rejected Classic Articles by Leading Economists
- "Exploring the Science & Art of Philanthropy" conference
- Kavli Foundation
- Academic publishers reap huge profits as libraries go broke
- The Data Scientist’s Toolbox
- Science as Play
- Goodnight Light Bulb
- Common Libraries
- Web Observatory
- Robert Wood Johnson Foundation
- Intel: Will ‘Data Sharing’ Take Precision Medicine to the Next Level?
- How Data Science Shaped This Teen-Counseling-By-Text Service
- A (light) introductory tutorial on Research Data Management (in chemistry)
- Why open data should be central to Fifa reform
- Vast data warehouse raises HealthCare.gov privacy concerns
- Big potential in linked data
- Big Data Was The Beginning: What Comes Next
- Likelihood of Null Effects of Large NHLBI Clinical Trials Has Increased over Time
- A Brief History of Big Data Everyone Should Read
- IBM Invests to Help Open-Source Big Data Software — and Itself
- "The CLARIN infrastructure is a research infrastructure intended for humanities researchers that work with language data and tools."
- Data Tapestry
- Motivations for Contributing to Health-Related Articles on Wikipedia: An Interview Study
- GitHub for Academics: the open-source way to host, create and curate knowledge
- Giant study poses DNA data-sharing dilemma
- Open science and data at the Royal Society
- "The Hewlett Foundation has a “default to open” approach."
- Bringing survey research into the digital age
- Global Cicada Sound Collection I: Recordings from South Africa and Malawi by B. W. Price & M. H. Villet and harvesting of BioAcoustica data by GBIF
- How to Receive More Funding for Your Research? Get Connected to the Right People!
- Median publication delays at 38 APA journals
- Genome-wide generation and systematic phenotyping of knockout mice reveals new roles for many genes
- How to use Citation Typing Ontology (CiTO) in your blog posts
- Clinical trial simulator
- The day when science is truly open
- Critical appraisal guidelines for assessing the quality and impact of user involvement in research
- The Data Harvest Report – sharing data for knowledge, jobs and growth
- Open Scholarship and the need for collective action
- seen here
- Wellcome Trust
- April 13, 2015: Enabling data linkage to maximise the value of public health research data
- DigitalGov University
- March 31, 2015: Where to Start with Structured Data and Content
- NCBI Webinars & Courses
- March 5, 2015: NCBI and the NIH Public Access Policy: PubMed Central Submissions, My NCBI, My Bibliography and SciENcv
- Oct 15, 2014: An Introduction to NCBI's E-Utilities, an NCBI API
This section now lives at https://github.com/Daniel-Mietchen/datascience/blob/master/group-workflows.md.
- Python for data science
- cf. section over at Learning Python
- data sciene more generally
- data science and health care
- data science at NIH
- ADDS website
- external reports
- Future of NLM
- NIH Director’s Statement on Dr. Lindberg’s retirement
- New Working Group to Chart the Course for the NIH National Library of Medicine
- Request for Information (RFI) Soliciting Input into the Deliberations of the Advisory Committee to the NIH Director (ACD) Working Group on the National Library of Medicine (NLM)
- informed consent
- quotes
- rankings
- how to slant them towards exposing openness of the players involved?
- reward those whose ideas propagate through the system
- reducing red tape
- hashtag: #HackRedTape
- instead of describing the consortium, just send links to brief descriptions online that can be reused for multiple funding applications
- consider side effects of changes in procedure: The impact of a streamlined funding application process on application time: two cross-sectional surveys of Australian researchers
- The guidelines for submissions vary between funding lines and change over time, but usually only slightly so. Exposing their version history and provising diff links would help to better appreciate the changes.
- Audit overload
- Bureaucracy: why won’t scholars break their paper chains?
- Research Performance Progress Report (RPPR)
- Smart contracts: Blockchain will eat white collar workers for breakfast
- More on blockchain
- The Rise and Fall of an Online Project. Is Bureaucracy Killing Efficiency in Open Knowledge Production?
- expert attention
- needs to be directed in a way that is optimized on a systemic level
- crowdfunding for research
- see section in open-research-funding.md
- careers and training
- Cloud storage and computing
- GitHub
- Future of the library
- Licklider
- Man-Computer Symbiosis
- library as "thinking center"
- The Computer as a Communication Device
- Libraries of the Future (as of 1965)
- Licklider
It actually defined the future as being the year 2000, and found it quite a good read when skimming through it. An example (p.5), with OCR errors: "We need to substitute for the book a device that will make it easy to transmit information without transporting material, and that will not only present in- formation to people but also process it for them, follow- ing procedures they specify, apply, monitor, and, if necessary, revise and reapply. To provide those services, a meld of Ubrary and computer is evidently required."
The author - Licklider, a psychologist - thought of the library as a "procognitive system", which he described as follows (p.21): "the aims of procognitive systems are to promote and facilitate the acquisition, organization, and use of knowledge."
or (p. 35ff): "The criteria that are clearly within our scope are those that pertain to the needs and desires of users. The main
criteria in that group appear to be that the procognitive system:
1 . Be available when and where needed. I 2. Handlebothdocumentsandfacts.*
Permit several different categories of input, rang- ing from authority-approved formal contributions (e.g., papers accepted by recognized journals) to informal notes and comments.
Makeavailableabodyofknowledgethatisorgan- ized both broadly and deeply — and foster the improve- ment of such organization through use.
Facilitate its own further development by pro- viding tool-building languages and techniques to users and preserving the tools they devise and by recording meas- ures of its own performance and adapting in such a way as to maximize the measures.
Provide access to the body of knowledge through convenient procedure-oriented and field-oriented lan- guages.
Converse or negotiate with the user while he formulates his requests and while responding to them. 8. Adjust itself to the level of sophistication of the individual user, providing terse, streamlined modes for experienced users working in their fields of expertness, and functioning as a teaching machine to guide and im-
prove the efforts of neophytes. 9. Permit users to deal either with metainformation
(through which they can work "at arms length" with
- "Facts," used here in a broad sense, refers to items of informa- tion or knowledge derived from one or more documents and not con- strained to the form or forms of the source passages. It refers also to items of information or knowledge in systems or subsystems that do not admit subdivision into documentlike units.
substantive information), or with substantive informa- tion (directly), or with both at once.
Provide the flexibiUty, legibiHty, and convenience of the printed page at input and output and, at the same time, the dynamic quality and immediate responsiveness of the oscilloscope screen and light pen.
Facihtate joint contribution to and use of knowl- edge by several or many co-workers.
Present flexible, wide-band interfaces to other sys- tems, such as research systems in laboratories, informa- tion-acquisition systems in government, and application systems in business and industry.
Reduce markedly the difiiculties now caused by the diversity of publication languages, terminologies, and "symbologies."
Essentially eliminate publication lag.
Tend toward consoHdation and purification of knowledge instead of, or as well as, toward progressive growth and unresolved equivocation.*
Evidence neither the ponderousness now associ- ated with overcentralization nor the confusing diversity and provinciality now associated with highly distributed systems. (The user is presumably indifferent to the de- sign decisions through which this is accomplished.)
Display desired degree of initiative, together with good selectivity, in dissemination of recently acquired and "newly needed" knowledge.
-
See also Brian Christian's farewell to the idea Scientific Knowledge Should Be Structured as "Literature"
-
Precision medicine
-
Reproducibility
- moved to reproducibility.md
-
NIH Biosketch
-
open science in general
-
collective action problems
-
Incentives
- From Academic Research in the 21st Century: Maintaining Scientific Integrity in a Climate of Perverse Incentives and Hypercompetition: "When you rely on incentives, you undermine virtues. Then when you discover that you actually need people who want to do the right thing, those people don’t exist.—Barry Schwartz, Swarthmore College (Zetter, 2009)"
- See also
- The Effect of Incentives and Meta-incentives on the Evolution of Cooperation
- Sticks and carrots: encouraging open science at its source
- A proposed integration of the expert performance and individual differences approaches to the study of elite performance
- "Blame bad incentives for bad science"
- with comments on modeling the incentive landscape
- "academia has some perverse incentives structures that we would never have intentionally built into science as a process."
- Open Practice Badges in Psychological Science: 18 Months On
- Open Library Badges
- incentives for increasing the use of bicycles
- The Code of Hammurabi: The Best Rule To Manage Risk ‐ on how to align incentives across stakeholders
- Synoptic view of the approaches to incentivising and rewarding Open Science activities based on key Open Science principles: Respect for diversity, Collaboration, Accountability, Transparency, Social responsibility and engagement, Fairness, and Impact
-
data discovery
- Calling All Statisticians for the Next Wave of Biomedical Big Data Discoveries (about BD2K/BRAIN)
- The Hague Declaration on Knowledge Discovery in the Digital Age
- Wikipedia tab for research data
- also think about discovering
- software
- Software Discovery Index
- policies
- collaborators
- equipment
- funding opportunities
- general resources related to a target topic
- Omics Discovery Index
- Blame bad incentives for bad science ("The solution is to add incentives for having an excellent research process, regardless of outcome")
- Rewarding open access scholarship in promotion and tenure (with focus on Indiana University)
-
data mining:
- Mine the Gap: Leveraging Open Access Through Citizen Engagement in Science
- Text mining at Europe PMC
- Alzheimer's disease biomarker discovery using in silico literature mining and clinical validation
- Blinkist: "Big ideas in small packages; 1,500+ best-selling nonfiction books, transformed into powerful shorts you can read or listen to in just 15 minutes"
- XARXES: connecting the lives of our ancestors by mining and semantically annotating hand-written historic documents
NIH’s mission is to seek fundamental knowledge about the nature and behavior of living systems and the application of that knowledge to enhance health, lengthen life, and reduce illness and disability. The goals of the agency are:
to foster fundamental creative discoveries, innovative research strategies, and their applications as a basis for ultimately protecting and improving health;
to develop, maintain, and renew scientific human and physical resources that will ensure the Nation's capability to prevent disease;
to expand the knowledge base in medical and associated sciences in order to enhance the Nation's economic well-being and ensure a continued high return on the public investment in research; and
to exemplify and promote the highest level of scientific integrity, public accountability, and social responsibility in the conduct of science.
- NOAA Big Data Project
- feedback
- octopus genome
- The future of science will soon be upon us
- SCAPE Project - Digital Preservation into the Petabyte Dimension
- The Tao of open science for ecology
- Open data belongs in the academic curriculum
- BigStorage (EU project)
- Referata — "This table lists works that dispute the methods, data, findings, or conclusions of other works. "
- Persistence of contradicted claims in the literature
- Genomic Data Sharing: A Two-Part Series
- "Science isn’t about facts. It’s about process."
- "Single-figure publication"
- "automated ‘deep reading’"
- The secretive world of biomedical research
- Wikipedia + open access = not quite a revolution (not yet at least)
- Learned societies should lead the way to open science
- "Sphinx is a tool that makes it easy to create intelligent and beautiful documentation"
- "This is a map of locations important to my research, teaching, and travel. Explore my world."
- Goals of science vs Goals of scientists (& a love letter to PLOS One)
- Researchers, post your work online
- Apes May Be Much Closer To Human Speech Than We Realized
- "In short, we extend the search quality known from metadata to data."
- Coalition on Publishing Data in the Earth and Space Sciences (COPDESS) Statement of Commitment
- Social Coder
- Coders for Charities
- Robot scientists and automation: is this the lab of the future?
- Computers read the fossil record
- Computers Are Good Fossil Hunters
- Science Bots: A Model for the Future of Scientific Computation?
- Robotics could assist caregivers, improve surgery and even make scientific breakthroughs
- MPG-ORN: Department of Migration and Immuno-Ecology
- Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases
- e-Infrastructure Reflection Group
- Journal of large-scale research facilities JLSRF
- Mozilla Science Lab Forum
- “The rate at which we're generating data is rapidly outpacing our ability to analyze it,”
- "A study conducted by General Electric concluded that the Internet of Things (IoT) over the next 20 years could add as much as $15 trillion to the global gross domestic product (GDP), roughly “the size of today’s U.S. economy.”"
- "The next billion consumers are not ‘another billion’"
- Academics Write Papers Arguing Over How Many People Read (And Cite) Their Papers
- Urban health
- including mental health
- Getting Started in Text Mining
- The Genomes of Oryza sativa: A History of Duplications
- The Roots of Bioinformatics in ISMB
- CAMERA: A Community Resource for Metagenomics
- Research Ethics Recommendations for Whole-Genome Research: Consensus Statement
- US agencies plan research-ethics overhaul
- For Mammals, Loss of Yolk and Gain of Milk Went Hand in Hand
- Is Sleep Essential?
- Biodiversity Loss Threatens Human Well-Being
- Variants of the Selberg sieve, and bounded intervals containing many primes (Polymath paper)
- Mathematics Is Biology's Next Microscope, Only Better; Biology Is Mathematics' Next Physics, Only Better
- Biomineralisation by earthworms – an investigation into the stability and distribution of amorphous calcium carbonate
- How science is distilling its message
- What do mHealth, eHealth and behavioral science mean for the future of healthcare?
- Research Lifecycle
- Mapping the Landscape of Research Data: How JLSC Contributors View this Rapidly Emerging Terrain
- special JLSC issue on all aspects of data management
- Research funding should go to research, not to publishers!
- The Politics of Data: The rising prominence of a data-centric approach to scientific research
- The open-data revolution has not lived up to expectations. But it is only getting started
- The economic impact of open data: what do we already know?
- Is wikipedia a valid source of scientific knowledge?
- Mapping the hinterland: Data issues in open science
- Preparing raw clinical data for publication: guidance for journal editors, authors, and peer reviewers
- fraud: Sportmedizin an der Uni Freiburg: Ermittler decken Forschungsskandal auf
- Brevy — summaries of research papers
- The Marginal Costs of Article Publishing – Critiquing the Standard Analytics Study
- Riding the wave - How Europe can gain from the rising tide of scientific data - Final report of the High Level Expert Group on Scientific Data - October 2010
- "The 65 best papers in Data Science history"
- Why you need version control
- Given Enough Eyeballs, All Bugs Are Shallow? Revisiting Eric Raymond with Bug Bounty Programs
- State of Open Data
- Science in transition
- cited in Fewer numbers, better science, which is generally a very useful article worth some thoughts and digging
- multimodal integration as a special case of data integration
- testable via cross-modal congruency task
- Ten Actions to Implement Big Data Initiatives: A Study of 65 Cities
- Future of work:
- Communicating Science Effectively: A Research Agenda (2016) (National Academies Press)
- iRODS — Open Source Data Management Software
- Chan Zuckerberg Initiative acquires and will free up science search engine Meta
- Owncloud — open source self-hosted web apps with sync clients and sharing
- Why we code in the open
- Wikibooks: Data Science: An Introduction
- Three challenges for the web, according to its inventor — thoughts by Tim Berners-Lee on the Web's 28th birthday
- PREMIS Data Dictionary for Preservation Metadata
- Lightweight Directory Access Protocol
- Review on the impacts of OER adoption
- Dryad usage stats 2016
- The economic rationale for public R&I funding and its impact
- Review on Antimicrobial Resistance
- Developing Human Connectome Project
- The data economy demands a new approach to antitrust rules
- A Very Short History Of Data Science
- Estonian government approves agreement with Luxembourg enabling establishment of world’s first data embassy
- UK Research Data Infrastructures Report
- This data set took six years to create. Worth every moment.
- If you're allowed to dream, what do you see as the article of the future?
- Firmware Update to Address Cybersecurity Vulnerabilities Identified in Abbott's (formerly St. Jude Medical's) Implantable Cardiac Pacemakers: FDA Safety Communication
- Fairness in Data Science
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"How can we ensure that the models we build and the algorithms we use are fair? What does it even mean for an algorithm to be ‘fair’?"
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- New Thinking Needed on How to Pay for College
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"America’s colleges and universities are certainly aware that they face a crisis of confidence, credibility and economics ahead of them. The question is how well and how quickly will they respond to this crisis."
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- Report from the Springer Nature hack day on November 29, 2017
- Artificial Intelligence Is Killing the Uncanny Valley and Our Grasp on Reality — on what AI means for fake news and other issues
- Precision medicine and bioinformatics with 320 mph: When data sharing increases the understanding of diseases
- on the Landspatientregisteret (LPR) in Denmark, i.e. the Danish National Patient Register, and how it is studied by the Center of Excellence for Health, Immunity and Infections directed by Jens Lundgren
- Robotic recruiting
- The future of data is open — A look at some challenges and solutions to working with big data
- Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
- Scholarly publishing is broken. Here’s how to fix it
- Self-driving cars urgently need ‘ethical black boxes’ so that we can all learn from their mistakes
- Ethicists Call for More Scrutiny of ‘Human-Challenge’ Trials
- For better or worse, brace for digital disruption
- Soundscape ecology — on the use of acoustics for conservation and documenting biodiversity or changes or losses
- related: Where is the world’s noisiest city? — also mentions studies on the effects of noise on human health
- Behemoth, bully, thief: how the English language is taking over the planet
- The first rule of data science
- bug in stats software would return data for wrong country
- Optimizing BigQuery: Cluster your tables
- Zotero repos can be public, e.g. as per this example (seen here)
- Old Money, New Order: American Philanthropies and the Defense of Liberal Democracy
- I was raised as a Native American. Then a DNA test rocked my identity (Sequoya Yiaueki) — Finding out my father lied about his heritage has forced me to radically question who I am (archived)
- Fake fingerprints can imitate real ones in biometric systems – research (archived)
- Information Security — CCC wiki page with introductory information on how to secure devices for attending events and using public networks
- Google Knowledge Graph — The Best Guide For Beginners
- How I Fully Quit Google (And You Can, Too)
- Prosperity without Growth—Foundations for the Economy of Tomorrow
- Beyond Measure: The Big Impact of Small Changes
- Being the Change: Live Well and Spark a Climate Revolution
- Paleo-Indians in Virginia
- Flash Drives for Freedom — USB sticks for North Korea
- An AI learned to play hide-and-seek. The strategies it came up with on its own were astounding.
- Computer Science Could Learn A Lot From Library And Information Science
- The Impact of Technology on Work Practices
- PhD thesis
- background
- discusses impact of search engine features on citation patterns
- early draft
- background
- PhD thesis
- How well known are different FAIR initiatives amongst researchers?
- Machine Learning Infrastructure: Build vs. Buy vs. Open-Source
- Data champions
- Nice thread by Michael Nielsen on the history of open science
- The first city in the world that is switching to Bitcoin
- Robert Koch Institute is using Internet Archive
- ESA, NASA and JAXA to unveil COVID-19 Earth Observation Dashboard
- OpenAI begins publicly tracking AI model efficiency
- Every Machine Learning Algorithm Can Be Represented as a Neural Network