Infra-infrastructure, inter-infrastructure and para-infrastructure

Three process improvements to help the engineering team support the business better.

Seven objectives that steer larger technical decisions and direction over the next 12 to 18 months. Seven is not a magic number here, but it helps to keep this list below ten.

The engineering team’s mission and how it relates to the business’ overall mission.

we should be clear about who’s in the driver’s seat as they do

It will appear on the largest publishers’ websites

Now, they want to maintain that status quo for as long as possible, translate their legacy role into APCs,

Today, a group of the largest scholarly publishers is announcing a new effort to improve discovery and access, fight piracy, compete with ResearchGate, and position their platforms for an open access ecosystem. Their new “Get Full Text Research”

is largely to generate profit

commercial enterprises in order to survive

costly

non-profit

It will support global connections and consistency where it is appropriate, and local and contextual requirements where that is needed

strategic

take ownership

fully

For example, in our migration study, we migrated 29 API calls that access REST endpoints (distributed over seven clients) to 24 GraphQL queries, which therefore does not represent a major reduction; (2) we reveal that client-specific queries can lead to a drastic reduction in the size of JSON responses returned by API providers. On the median, in our study, JSON responses have 93.5 fields, against only 5.5 fields after migration to GraphQL, which represents a reduction of 94%. In terms of bytes, we also measure an impressive reduction: from 9.8 MB (REST) to 86 KB (GraphQL). Altogether, our findings suggest that API providers should seriously consider the adoption of GraphQL. We also see space for tool builders and researchers, with interest on providing support and improving the state-of-the-practice on GraphQL-based API development.

All these studies show the consequences of applying a narrow understanding of excellence to evaluate research regardless of the context, for example in terms of country, discipline, and language.

In terms of research subjects or topics, WoS and Scopus focus on molecular biology, traditional genetics, and industry-related consumption, whereas CABI focuses more on productivity, plant nutrition, plant characteristics, and plant protection. The foci of WoS and Scopus seem to be related to the research interests of seed companies and food industry, while the foci of CAB are more related to potential interests of local farmers and communities. In this case, research in journals indexed by WoS and Scopus seems to better cover the interests of industrial stakeholders than the interests of small, poorer farmers.

These are the people we hold responsible for staffing the product teams.  This means sourcing, recruiting, interviewing, on-boarding, evaluating, and when necessary, replacing, the members of the teams.  If you have an HR function at your company, they are there to support the managers with these activities, but they are in no way a substitute for the manager on these responsibilities.

The issue is that they are often not allowed to work as they need to.  Specifically, in so many companies, they are not truly empowered to work as they need to.

The Chinese place a higher value on community good versus individual rights, so most feel that, if social credit will bring a safer, more secure, more stable society, then bring it on

A traditional business intelligence department consists of three roles: ETL engineers, report developers, and DBAs. ETL engineers move the data into the data warehouse. They are obsessed with Kimball and his guide to dimensional modeling. Report Developers, on the other hand, are folks who have made a career around designing reports in a specific tool (e.g. Microstrategy, et al). They are specialists. DBAs (and a team of other tool administrators) do their best to just keep things running.

Unless you need to push the boundaries of what these technologies are capable of, you probably don’t need a highly specialized team of dedicated engineers to build solutions on top of them. If you manage to hire them, they will be bored. If they are bored, they will leave you for Google, Facebook, LinkedIn, Twitter, … – places where their expertise is actually needed. If they are not bored, chances are they are pretty mediocre. Mediocre engineers really excel at building enormously over complicated, awful-to-work-with messes they call “solutions”. Messes tend to necessitate specialization.

One way to identify cycles is to build a dependency graph representing all services in the system and all RPCs exchanged among them. Begin building the graph by putting each service on a node of the graph and drawing directed edges to represent the outgoing RPCs. Once all services are placed in the graph, the existing dependency cycles can be identified using common algorithms such as finding a topological sorting via a depth-first search. If no cycles are found, that means the services' dependencies can be represented by a DAG (directed acyclic graph).

Dependency cycles are most dangerous when they involve the mechanisms used to access and modify a service. The operator knows what steps to take to repair the broken service, but it's impossible to take those steps without the service.

OA can provide benefits, but we need to broaden the debate and articulate principles of collegiality and professional organisation that are integral to public value.

One response has been to suggest “submission charges” in order that successful publications do not subsidise unsuccessful ones, a proposal which would further disadvantage early-career colleagues and those from less wealthy countries.

The underlying constraint of print sets a limit on numbers of articles that can be published and, in consequence, there is a diversity of journal titles reflecting the diversity of disciplines and interdisciplinary areas. This diversity is served by editors and peer review processes associated with the different epistemological standards, producing an effective evaluation and validation of knowledge claims despite diversity. In OA, there is no constraint on publication, which takes the form of a stream, where each platform maximises its revenue by maximising the number of papers it publishes.

Moreover, the funding will increasingly be directed toward university research strategies (more properly: revenue strategies), in which topics of research and vehicles for disseminating it are managerially directed. This replaces academic autonomy – an integral part of academic freedom – with managerial autonomy.

First, there is the matter of APCs. How will they be funded? OA material will have global reach, but producers outside the currently-dominant centres of academic production are unlikely to have access to publish their research.

(have they learned nothing from the Cambridge Analytica scandal?).

Notwithstanding, it is important to recognise that OA is itself being promoted in the name of commercial interests.

OA may have benefits from the point of view of the consumption of knowledge, but it is less clear that it has equivalent benefits from the perspective of the production of knowledge

What of publications in which no commercial use resides, such as those in the humanities and social sciences, where there is usually no patentable research involved? And what of the legitimate business interest of existing publishers, many not-for-profit, where revenues have helped construct academic infrastructure (for example, activities associated with university presses and learned societies)? What is at issue is the relation between two academic roles, that of consumer and producer of research, with the former now coming to dominate over the latter.

Inputs: the investment dollars and employee time devoted to innovation, along with the number of ideas that are gener­ated internally each month or sourced from customers, suppliers, and other out­siders. Throughputs: the number and quality of ideas that enter the pipeline after initial screening, the time it takes for those ideas to move from concept to proto­type to reality, and the notional value of the innovation pipe­line. Outputs: the number of innovations that reach the market in a given period, the percentage of revenue derived from new products and services, and the margin gains that are attributable to innovation. Leadership: the percentage of executive time that gets devoted to mentor­ing innovation projects, and 360-degree survey results that reveal the extent to which execu­tives are exhibiting pro-innovation behaviors. Competence: the percentage of employees who have been trained as business innovators, the percentage of employees who have qualified as innova­tion “black belts,” and changes in the quality of ideas that are being generated across the firm. Climate: the extent to which the firm’s management processes facilitate or frustrate innovation, and the progress that is being made in remov­ing innova­tion blockages. Efficiency: changes over time in the ratio of innovation outputs to inputs. Balance: the mix of different types of innova­tion (product, service, pricing, distribution, operations, etc.); differ­ent risk cate­go­ries (incremental improvements versus speculative ventures); and differ­ent time horizons.

How library collections budgets work By Library Loon 27 October 2017 Library as organization, Scholarly communication 3 Comments “Why can’t open-access initiatives get some of that sweet, sweet library budget money?” the Loon was asked (well, entitledly whinged at, but it comes to much the same thing). Short answer: The librarians in charge of allocating collections money have no incentive to support open access, and the librarians (supposedly) in charge of changing scholarly communication have either zero budget or strictly-earmarked budgets that do not permit this use. QED.

What is this again? What Google Drive should be. What Dropbox should be. What file systems can be. The way we unify our data access across companies, services, programs, and people. The way I want to live and work.

People with scientific training are adopting these practices as well, either by offering services on sites such as Upwork or finding projects through their previous academic networks.

Thomassen's girth-3 hypohamiltonian graph

A computer simulation of refugees’ journeys as they flee major conflicts can correctly predict more than 75 percent of their destinations, and may become a vital tool for governments and NGOs to help better allocate humanitarian resources.

I can’t go on

Organize your research. Find experts to perfect your projects.

The company's API for scoring toxicity in online discussions already behaves like a racist hand dryer.

The only correlating factor has to be the effectiveness of your actions.

A Global Database of Society

DVC makes your data science projects reproducible by automatically building data dependency graph (DAG). Your code and the dependencies could be easily shared by Git, and data - through cloud storage (AWS S3, GCP) in a single DVC environment.

Through Open Humans, you can gather valuable data about yourself and find cool projects to share it with.

We found that data citations appear in the references section of an article less frequently than in the main text, making it difficult to identify the reward and credit for data authors (i.e. data sharers). Consistent data citation formats could not be found. Current data citation practices do not (yet) benefit data sharers.

Genetics and Heredity is the top field with almost 2.3 million records (representing public datasets, software, data studies, and data repositories).

Given that researchers benefit from publicly shared data through data reuse in their own research, researchers who provide access to data should be acknowledged for their contributions, much in the same way that authors are recognized for their research publications through citation. Researchers who use shared data or other shared research products (e.g. open access software, tissue cultures) should also acknowledge the providers of these resources through formal citation. At present, data citation is not widely practiced in most disciplines and as an object of study remains largely overlooked.

We’re delighted to announce that the California Digital Library has been awarded a 2-year NSF EAGER grant to support active, machine-actionable data management plans (DMPs).

Sci-Hub has made nearly all articles freely available using a black open access model, leaving green and gold models in its dust

Wikimania in Africa - an opportunity for engaging communities of researchers, practitioners and WikimediansDaniel Mietchen

A policy level helping hand to deal with research softwareStephan Janosch, Jürgen Fuhrmann, and Björn Brembs

FORCE2017-5Metadata 2020: Advancing the Maturity ModelGinny Hendricks, Cameron Neylon, and John Chodacki

Changing scholarly communication through a greater understanding of academic career incentivesJuan Pablo Alperin

Making Open Citations workStephanie Dawson

Are we ready for a Scholarly Commons?Maryann Martone, Fiona Murphy, Bianca Kramer, Jeroen Boseman, Daniel O'Donnel, Ian Bruno, Chris Chapman, Bastien Greshake, Robin Champieux, and Nate Jacobs

FORCE2017-11Unlocking references from the literature: The Initiative for Open CitationsDario Taraborell

FORCE2017-35(GO)FAIR--Annotations as Research Objects: Ensuring Findable, Indexable, Accessible and ReusableHeather Staines, Francesca Di Donato, Jennifer Lin, and Maryann Martone

FORCE2017-105Ubiquitous Open Access: Changing culture by integrating OA into user workflowsJason Priem, Heather Piwowar, and Don Sechler

Bianca Kramer

John Choacki

Sünje Dallmeier-Thiessen

Lyubomir Penev

FORCE2017-55A Science-Based Writing Across the Curriculum ProgramEric Jandciu

FAIR principles in practice at the ENCODE data portal

Martin Fenner

Open Knowledge Maps - A Visual Interface to the World's Scientific KnowledgePeter Kraker

Discover Soacial Science DataBrigitte Hausstein

I guess the big take away for me is that what I have heard from our community compels me to try to shift my focus from satisfying immediate user needs by continually improving the tools at hand to making progress and supporting progress towards a discovery environment we can’t yet imagine (because most of us are not Muriel Cooper) but which provides fun, intuitive, maybe immersive opportunities for discovery.

connections

We are advancing,

If we didn't do this, and allowed the uncertainty to continue, and pushed these difficult subjects to the end of the negotiations, then we would run the risk of failure in the absence of trust between us

There is therefore only one year left

Do you have questions about how best to moderate your online community? CivilServant, software created at the MIT Center for Civic Media, helps online communities do your own A/B tests of moderation practices.

NixOS is a Linux distribution with a unique approach to package and configuration management.

Singularity containers can be used to package entire scientific workflows, software and libraries, and even data.

Signposting is an approach to make the scholarly web more friendly to machines. It uses Typed Links as a means to clarify patterns that occur repeatedly in scholarly portals. For resources of any media type, these typed links are provided in HTTP Link headers. For HTML resources, they are additionally provided in HTML link elements. Throughout this site, examples use the former approach.

Spectral Python (SPy) is a pure Python module for processing hyperspectral image data. It has functions for reading, displaying, manipulating, and classifying hyperspectral imagery. It can be used interactively from the Python command prompt or via Python scripts

ScienceDirect Topic Pages

Elsevier launches ScienceDirect Topics to help researchers quickly build their knowledge and save valuable time searching

A system-wide Share extension

Larry analyzes your historical and real-time data to create an entire social media strategy for you.

Lambda

Typesetting

50 emails using AWS Simple Email Service (SES), and 100 requests to put and get all components of the submission from S3 three times

image transcoding

4 images

provided

profile

Our measurements show that the interplay of fluid shear